Top-down proteomics: challenges, innovations, and applications in basic and clinical research
Open accessAbstract
Introduction- A better understanding of the underlying molecular mechanism of diseases is critical for developing more effective diagnostic tools and therapeutics toward precision medicine. However, many challenges remain to unravel the complex nature of diseases.Areas covered- Changes in protein isoform expression and post-translation modifications (PTMs) have gained recognition for their role in underlying disease mechanisms. Top-down mass spectrometry (MS)-based proteomics is increasingly recognized as an important method for the comprehensive characterization of proteoforms that arise from alternative splicing events and/or PTMs for basic and clinical research. Here, we review the challenges, technological innovations, and recent studies that utilize top-down proteomics to elucidate changes in the proteome with an emphasis on its use to study heart diseases.Expert opinion- Proteoform-resolved information can substantially contribute to the understanding of the molecular mechanisms underlying various diseases and for the identification of novel proteoform targets for better therapeutic development . Despite the challenges of sequencing intact proteins, top-down proteomics has enabled a wealth of information regarding protein isoform switching and changes in PTMs. Continuous developments in sample preparation, intact protein separation, and instrumentation for top-down MS have broadened its capabilities to characterize proteoforms from a range of samples on an increasingly global scale.
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- Premisecitation
Peptide-to-protein inference in bottom-up proteomics causes loss of proteoform information due to shared homologous regions and low sequence coverage.
“However, the ‘peptide-to-protein inference’ problem in bottom-up proteomics leads to a loss in proteoform information because of many homologous sequence regions are shared between different protein forms and the generally low protein sequence coverage is observed [13,14].”
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Mutations, alternative splicing, and PTMs generate many proteoforms from a single gene, greatly diversifying the proteome.
“Mutations, alternative splicing events, and post-translational modifications (PTMs) result in a host of proteoforms (a term referring to all the protein products that arise from a single gene) that greatly diversify the proteome [1–4].”
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Agar and colleagues reported best practices and benchmarks for top-down sample preparation in the Consortium of Top-down Proteomics.
“To standardize sample preparation, a “best practices and benchmarks” was reported by Agar and colleagues in the Consortium of Top-down Proteomics [23].”
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MS-based proteomics is the most versatile and comprehensive strategy for protein characterization.
“Mass spectrometry (MS)-based proteomics has emerged as the most versatile and comprehensive strategy for protein characterization [8,9].”
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Mutations and differential expression of protein isoforms drive molecular mechanisms underlying disease phenotypes.
“Moreover, mutations and differential expression of protein isoforms have been shown to drive molecular mechanisms underlying disease phenotypes, necessitating their in-depth characterization [5,7].”
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- Premisecitation
Most salts and conventional surfactants are incompatible with MS and must be removed before downstream analysis.
“However, most salts and conventional surfactants are generally incompatible with MS analysis and must be removed before downstream analysis [22].”
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Those acid-cleavable surfactants are incompatible with top-down proteomics.
“However, it was found that these surfactants are incompatible with top-down proteomics [31].”
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Acid-cleavable surfactants Rapigest, ProteaseMAX, and MaSDeS were developed as MS-compatible surfactants for digestion and MS analysis.
“Previously, acid-cleavable surfactants such as Rapigest [28], ProteaseMAX [29], and MS-compatible degradable surfactant MaSDeS [30] were developed as MS-compatible surfactants to enable protein solubilization for digestion and MS-analysis.”
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Zhu and coworkers adapted nanoPOTS technology for top-down proteomics.
“To improve the sensitivity and automation of top-down sample preparation, Zhu and coworkers have adapted the nanoPOTS (nanodroplet processing in one pot for trace samples) [37] technology for top-down proteomics.”
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Azo solubilized proteins from cardiac tissues including membrane proteins phospholamban, receptor expression enhancing protein 5, and every subunit of ATP synthase complex.
“Azo was used to broadly solubilized proteins from cardiac tissues including important membrane proteins such as phospholamban [32], receptor expression enhancing protein 5 [33], and every subunit of the ATP synthase complex [34,35].”
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- cites [35] He J, 2018, Assembly of the membrane domain of ATP synthase in human mitochondria. Proceedings of the National Academy of Sciences
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Precipitation is often required with surfactants because surfactants inhibit MS signal by outcompeting proteins or forming harmful adducts.
“In particular, precipitation is often required when using surfactants, which are often employed during cell lysis to solubilize hydrophobic membrane proteins, because they significantly inhibit MS signal by outcompeting proteins for ionization or by forming harmful adducts [24,25].”
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The Ge group developed superparamagnetic cobalt ferrite nanoparticles functionalized with GAPT-Zn ligands for phosphoprotein enrichment before LC-MS/MS for confident identification and localization of phosphorylation sites.
“To address this gap in technology development, the Ge group has developed superparamagnetic cobalt ferrite nanoparticles (NPs) functionalized with GAPT-Zn ligands for phosphoprotein enrichment before LC-MS/MS analysis for confident identification and localization of phosphorylation sites [57].”
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Robinson and coworkers demonstrated native MS analysis of protein assemblies directly from native membranes without detergents.
“Robinson and coworkers have successfully demonstrated native MS analysis for a number of applications including most recently analyzing protein assemblies directly for native membranes bypassing the use of detergents [51].”
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The human proteome has a high dynamic range, so analysis of certain protein classes, low-abundance proteoforms, and target proteins often requires enrichment.
“The human proteome has a high dynamic range; therefore, the analysis of certain protein classes, low abundance proteoforms, and target proteins often requires an enrichment step [4,52].”
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- cites [52] Anderson NL, 2002, History Charact Diagn Prospects
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Membrane proteins generally require nonionic surfactants such as DDM or oligoglycerol detergents for native MS analysis.
“Due to the hydrophobic nature of membrane proteins, the use of nonionic surfactants, such as DDM or the recently developed oligoglycerol class of detergents (shown to improve purification and MS-based characterization of G-protein coupled receptors) [47], to solubilize and stabilize membrane proteins is generally required to enable native MS analysis [48–50].”
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DDM combined with urea enabled extraction and identification of ~170-620 proteoforms from ~70-770 HeLa cells.
“They found that a combination of dodecyl-β-D-maltopyranoside (DDM) with urea enabled the extraction and identification of ~170–620 proteoforms from as little as ~70–770 HeLa cells [38].”
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Intact proteoform enrichment necessary for top-down proteomics is relatively underdeveloped.
“On the other hand, intact proteoform enrichment, which is necessary for top-down proteomics, is relatively underdeveloped [56].”
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The NP-peptide approach outperformed conventional monoclonal antibody.
“Overall, the NP-peptide approach outperformed conventional monoclonal antibody and top-down characterization of cTnI, enriched from serum, yielded proteoform-resolved molecular fingerprints of diverse cTnI proteoforms for evaluation of proteoform-pathophysiology relationships (Figure 3) [68].”
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Tiambeng and Roberts led development of a nanoproteomics strategy using functionalized magnetic nanoparticles with a peptide affinity ligand to specifically target cardiac troponin I.
“To address the limitation of the antibody-based approach, Tiambeng and Roberts led the development of a nanoproteomics strategy using functionalized magnetic NPs with a peptide affinity ligand to specifically target cardiac troponin I (cTnI) [65–67], an important and gold-standard cardiac biomarker [68].”
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Top-down characterization of cTnI enriched from serum yielded proteoform-resolved molecular fingerprints of diverse cTnI proteoforms for evaluating proteoform-pathophysiology relationships.
“Overall, the NP-peptide approach outperformed conventional monoclonal antibody and top-down characterization of cTnI, enriched from serum, yielded proteoform-resolved molecular fingerprints of diverse cTnI proteoforms for evaluation of proteoform-pathophysiology relationships (Figure 3) [68].”
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- Interpretationcitation
The new surface-functionalized nanoparticle platform could be generalized to other enrichment targets if a suitable affinity reagent is available.
“The newly developed surface-functionalized NP platform could be further generalized to other enrichment targets, provided a suitable affinity reagent is available [58].”
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Front-end separation of intact proteins is a major challenge for in-depth proteome coverage due to dramatic variation in protein physicochemical properties.
“However, front-end separation of intact proteins represents a major challenge for in-depth proteome coverage in part because of dramatic variation in physicochemical properties of proteins (size, hydrophobicity, charge, etc.).”
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Liang et al. demonstrated that a bridged hybrid bis(triethoxysilyl)ethylene monolith with C8 functional groups afforded high-resolution separation of complex cardiac lysate including α-actinin2 (103.77 kDa).
“Liang et al. demonstrated that bridged hybrid bis(triethoxysilyl)ethylene monolith with C8 functional groups afforded high-resolution separation of complex cardiac lysate including a large proteoform, α-actinin2 (103.77 kDa) [72].”
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Sheathflow and sheathless interfaces have enabled facile coupling of CZE to MS.
“The development of sheathflow and sheathless interfaces have enabled facile coupling of CZE to MS [73].”
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CZE has recently shown promise as an alternative or complementary front-end separation due to inherent sensitivity and peak capacity.
“Capillary zone electrophoresis (CZE) has recently shown great promise as an alternative or complementary front-end separation due to its inherent sensitivity and peak capacity [73].”
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CZE for intact protein separation is limited by low loading capacity and narrow separation window.
“However, the application of CZE for intact protein separation has been limited by the low loading capacity and narrow separation window common to CZE systems.”
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No single separation mode can sufficiently handle the complexity of the whole proteome.
“While the continued development of online separation strategies is essential for enhancing the capabilities of top-down proteomics, no single separation mode can sufficiently handle the complexity of the whole proteome. Therefore, multidimensional separation approaches are commonly employed for deeper proteome coverage [82].”
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HIC-MS shows great promise for characterizing intact protein directly coupled to top-down MS.
“Hydrophobic interaction chromatography (HIC)-MS shows great promise for characterizing intact protein directly coupled to top-down MS [80].”
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SEC coupled to CZE identified ~5700 proteoforms from E. coli.
“SEC was also coupled to CZE for the identification of ~5700 proteoforms from Escherichia coli [86].”
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Weak-cationic exchange HILIC and RPLC enabled characterization of hundreds of histone proteoforms from ~1.5 μg of protein.
“However, some recent online approaches have been developed which include using weak-cationic exchange HILIC and RPLC to enable the characterization of hundreds of histone proteoforms from ~1.5 μg of protein [90].”
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The Kelleher group combined solution isoelectric focusing, GELFrEE, and RPLC-MS/MS to identify ~3,000 proteoforms from 1043 protein groups including proteins up to 105 kDa.
“In 2012, the Kelleher group combined solution isoelectric focusing, GELFrEE, and RPLC-MS/MS to identify ~3,000 proteoforms from 1043 protein groups including proteins up to 105 kDa [84].”
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Native GELFrEE and IEX identified 125 intact endogenous complexes from mouse hearts and human cancer cell lines.
“Using Native GELFrEE and IEX, Skinner et al. identified 125 intact endogenous complexes from mouse hearts and human cancer cell lines [89].”
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Gel-based strategies suffer from the use of SDS, which requires sample clean-up that may result in protein loss and variability.
“Overall, gel-based strategies suffer from the use of SDS, which requires sample clean-up that may result in protein loss and variability [26].”
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Yu et al. used offline fractionation by high pH RPLC followed by online low pH RPLC coupled to MS to identify 2778 proteoforms from 628 proteins.
“Yu et al. took a different approach using offline fractionation by high pH RPLC followed by online low pH RPLC coupled to MS to enable the identification of 2778 proteoforms from 628 proteins [87].”
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Submicron ESI emitter tips developed by the Williams group improved ESI sensitivity and salt tolerance up to physiological concentrations (25 mM Tris, 150 mM KCl) by creating smaller droplets.
“Recently, submicron ESI emitter tips, developed by the Williams group, have pushed the boundaries of ESI sensitivity while also showing improved salt tolerance up to physiological concentrations (25 mM Tris, 150 mM KCl) by virtue of creating smaller droplets [93].”
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ESI protein detection suffers from signal competition with small-molecule contaminants that outcompete large molecules, resulting in the need for highly purified samples.
“Although ESI enables the highly sensitive detection of analytes, protein detection by ESI suffers from signal competition with small-molecule contaminates that outcompete large molecules and results in the need for highly purified samples [23,83].”
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Orbitrap top-down proteomics was limited to low-molecular-weight species because the signal of larger biomolecules rapidly decays due to collisions with background gas.
“However, top-down proteomics using an Orbitrap MS was limited to low-molecular-weight species as the signal of larger biomolecules rapidly decays due to collisions with the background gas [101].”
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Online high pH RPLC coupled to low pH RPLC shows promise for intact protein separation before top-down MS.
“Additionally, online high pH RPLC coupled to low pH RPLC shows promise for intact protein separation before top-down MS [91].”
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Global top-down proteomics using the Orbitrap has enabled identification and quantification of thousands of proteoforms.
“Moreover, global top-down proteomics using the Orbitrap has enabled the identification and quantification of thousands of proteoforms [84,100].”
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Tuning Orbitrap instrument parameters by the Brodbelt and Kelleher group increased its scope for targeted and global analysis of larger proteoforms.
“Work by the Brodbelt and Kelleher group in tuning the Orbitrap instrument parameters has increased its scope for targeted and global analysis of larger proteoforms [98,102].”
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Instrument hardware improvements enhanced large ion transmission and detection, especially with UHMR Orbitraps capable of analyzing species at 70,000 m/z and mass as large as 800 kDa.
“More recently, instrument hardware improvements have led to enhanced large ion transmission and detection, especially with the implementation of ultra-high mass range (UHMR) Orbitraps that are capable of analyzing species at 70,000 m/z and mass as large as 800 kDa [103,104].”
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CDMS measures m/z and z for individual ions in an electrostatic ion trap from frequency and amplitude of the signal, which can be converted into mass.
“CDMS analysis of intact proteins is achieved by simultaneously measuring m/z and z for individual ions contained in an electrostatic ion trap from the frequency and amplitude of the resulting signal, which can then be converted into a mass measurement [111].”
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CDMS is one of the most important recent developments for top-down proteomics.
“Arguably, one of the most important recent developments is charge detection mass spectrometry (CDMS) (also referred to as individual ion MS) for top-down proteomics [107–110].”
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Non-denaturing conditions improve detection of larger biomolecules by reducing the number of protein charge states and collapsing MS signal into fewer isotopic features.
“The simplest of these is using non-denaturing conditions, which inherently improves the detection of larger biomolecules by reducing the number of protein charge states to collapse MS signal into fewer isotopic features [105].”
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Effective ion activation for MS/MS analysis is essential for characterizing proteoforms.
“Effective ion activation for MS/MS analysis is essential for characterizing proteoforms [112].”
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CAD and HCD are the most prevalent and robust techniques for protein fragmentation, especially for global top-down proteomics studies.
“Collisionally activated dissociation (CAD) and higher-energy collisional dissociation (HCD) are the most prevalent and robust techniques for protein fragmentation especially for global top-down proteomics studies [100,113].”
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ECD and ETD are nonergodic techniques for protein fragmentation.
“Electron capture dissociation (ECD) [114] and electron transfer dissociation (ETD) [115], on the other hand, are nonergodic techniques for protein fragmentation.”
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Combining deconvolution results from a single dataset using a simple voting ensemble or random forest machine learning improved fragment identification and confidence compared to a single algorithm.
“Recently, combining deconvolution results from a single data set using a simple voting ensemble method or random forest machine learning-enabled improved fragment identification and confidence compared to a single algorithm [131].”
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- Premisecitation
With the Nativeomics approach, endogenous ligands such as lipids and drug binding could be identified for several membrane proteins.
“Using the ‘Nativeomics’ approach, endogenous ligands such as lipids and even drug binding could be identified as demonstrated for several membrane proteins.”
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AI-ETD generally performed better than HCD, ETD, and EThcD in sequence coverage and proteoform characterization scores.
“Importantly, AI-ETD generally outperformed HCD, ETD, and EThCD in terms of sequence coverage and proteoform characterization scores.”
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- Premisecitation
The molecular events leading to the HCM disease phenotype remain largely misunderstood.
“While around 1,400 mutations have been identified in 11 genes related to the sarcomere, the molecular events leading to disease phenotype remain largely misunderstood [148].”
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- Premisecitation
Decreased cTnI phosphorylation was found in hearts with increased chronic heart failure.
“Additionally, decreased level of cTnI phosphorylation was found in hearts with increased chronic heart failure [61]”
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- Premisecitation
Regardless of the HCM-causing mutation, convergent sarcomeric proteoforms were observed in HCM samples compared to donor samples.
“Their results convincingly show that regardless of the HCM causing mutation, convergent sarcomeric proteoforms were observed in the HCM samples compared to the donor samples.”
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- Interpretationcitation
Using top-down proteomics to identify characteristic PTM or isoform profiles from low-abundance proteins shows promise as a molecular fingerprint with potential as next-generation biomarkers.
“Notably, the use of top-down proteomics to identify characteristic PTM or isoform profiles from low-abundance proteins shows promise as a “molecular fingerprint” with the potential to serve as the next-generation biomarkers.”
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A strong linear correlation of decreased phosphorylation levels of cardiac troponin I and enigma homolog 2 was determined in HCM samples.
“Interestingly, the authors determined a strong linear correlation of decreased phosphorylation levels of cardiac troponin I and enigma homolog 2 in the HCM samples suggesting protein crosstalk or dysregulation of signaling by cAMP-dependent protein kinase A (Figure 4) [149].”
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- Premisecitation
Different low-abundance cTnI proteoforms could be enriched directly from human serum and characterized by top-down MS.
“Using the previously discussed NP-based method, Tiambeng and Roberts et al. demonstrated that different low-abundance cTnI proteoforms could be enriched directly from human serum and characterized by top-down MS, showing promise for improved clinical diagnosis [68].”
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- Premisecitation
Tucholski et al. performed a large-scale quantitative top-down proteomics study of donor (n=16) and obstructive HCM (n=16) samples to compare proteoform landscapes.
“Tucholski et al. performed a large-scale quantitative top-down proteomics study of donor (n=16) and obstructive HCM (n=16) samples to compare the proteoform landscape between the two groups (Figure 4) [149].”
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- Premisecitation
Wei et al. applied a top-down proteomics strategy to study the sarcomere proteome of fast- and slow-twitch skeletal muscles of aging rats.
“Wei et. al applied a top-down proteomics strategy to study the sarcomere proteome of fast- and slow-twitch skeletal muscles of aging rats [153].”
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- Rests on an assumption: There remains an incomplete understanding of the molecular mechanism underlying sarcopenia.
- Interpretationcitation
The finding implies the importance of the Z-disk in the progression of sarcopenia.
“This finding represented the first report of PTMs in Z-disk proteins and implies the importance of the Z-disk in the progression of sarcopenia.”
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- Premisecitation
Highly consistent changes in phosphorylation levels of cardiac troponin T, tropomyosin isoform 1.1, and the ventricular isoform of myosin light chain 2 were observed in HCM samples.
“In addition, Tucholski et al. also observed highly consistent changes in the phosphorylation levels of cardiac troponin T, tropomyosin isoform 1.1, and the ventricular isoform of myosin light chain 2 in the HCM samples.”
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- Premisecitation
Distinct changes in protein isoform expression, such as a switch from atrial to ventricular isoform of myosin light chain 1, were observed between the two maturation states.
“Distinct changes in protein isoform expression, such as a switch in expression from the atrial to the ventricular isoform of myosin light chain 1, were observed between the two maturation states.”
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- Interpretationcitation
A conserved pathway is associated with clinical phenotypes in patients diagnosed with obstructive HCM.
“This study indicates a conserved pathway is associated with clinical phenotypes in patients diagnosed with obstructive HCM, providing a new opportunity for the development of interventions that target the HCM phenotype rather than the individual genotype [149].”
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- Study design and conductcitation
The Wei et al. study was limited to only two skeletal muscle tissues: gastrocnemius (fast-twitch) and soleus (slow-twitch).
“While this report was important to study the effects of sarcopenia, the study was limited to only two skeletal muscle tissues: gastrocnemius (fast-twitch) and soleus (slow-twitch).”
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- Premisecitation
This finding represented the first report of PTMs in Z-disk proteins.
“This finding represented the first report of PTMs in Z-disk proteins and implies the importance of the Z-disk in the progression of sarcopenia.”
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- Premisecitation
Top-down proteomics was employed to quantify contractile protein isoform and PTM changes between early and late-stage 2D hiPSC-CM monolayers and 3D hiPSC-ECTs.
“The top-down proteomics was employed to quantify contractile protein isoform and PTM changes between early and late-stage 2D hiPSC-CM monolayers and 3D hiPSC-ECTs (Figure 5) [151].”
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- Rests on an assumption: hiPSC-CMs resemble fetal cardiomyocytes rather than fully matured cardiomyocytes.
- Rests on an assumption: There is a lack of comprehensive methods to measure the maturity of hiPSC-CMs.
- Premisecitation
A decrease in alpha tropomyosin phosphorylation was discovered as a promising new marker of hPSC-CM maturation.
“For the first time, contractile PTMs such as a decrease in alpha tropomyosin phosphorylation were discovered as promising new markers of hPSC-CMs maturation.”
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- Premisecitation
Cai et al. developed an unbiased method for assessing hiPSC-CM maturation by combining functional assessments and proteomics in 2D monolayer systems and 3D engineered cardiac tissues.
“To address this challenge, Cai et al. developed an unbiased method for the assessment of hiPSC-CMs maturation by combining functional assessments and proteomics to assess CM maturation in 2-dimensional (2D) monolayer systems and 3-dimensional (3D) engineered cardiac tissues (ECTs) [151].”
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- Rests on an assumption: hiPSC-CMs resemble fetal cardiomyocytes rather than fully matured cardiomyocytes.
- Rests on an assumption: There is a lack of comprehensive methods to measure the maturity of hiPSC-CMs.
- Premisecitation
Melby et al. performed top-down proteomics on seven different rat skeletal muscle tissues: vastus lateralis, vastus medialis, vastus intermedius, rectus femoris, soleus, gastrocnemius, and plantaris.
“Melby et al. expanded upon this study by performing top-down proteomics on seven different rat skeletal muscle tissues: vastus lateralis (VL), vastus medialis (VM), vastus intermedius (VI), rectus femoris (RF), soleus (SOL), gastrocnemius (GAS), and plantaris (PLN) [154].”
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- Premisecitation
Quantitative top-down proteomics revealed age-related alterations, such as phosphorylation levels of the Z-disk protein cypher, in fast-twitch skeletal muscles of aging rats.
“Importantly, quantitative top-down proteomics revealed age-related alterations, such as the phosphorylation levels of the Z-disk protein cypher, in the fast-twitch skeletal muscles of the aging rats [153].”
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- Rests on an assumption: There remains an incomplete understanding of the molecular mechanism underlying sarcopenia.
- Premisecitation
Distinct differences in myofilament proteoforms were found across seven various rat skeletal muscle tissues.
“Quantitative top-down proteomics discovered that there were distinct differences in the myofilament proteoforms found across the seven various rat skeletal muscle tissues, which demonstrates the highly heterogeneous nature of skeletal muscle (Figure 6) [154].”
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- Interpretationreasoning
As the number of large-molecule therapeutics increases, top-down proteomics is expected to be increasingly utilized by the pharmaceutical industry.
“As the number of large-molecule therapeutics increases, top-down proteomics is expected to be increasingly utilized by the pharmaceutical industry.”
Quote in the paperNot a substantial claim - Interpretationcitation
The advancement of top-down proteomics is stimulated by commercial growth of large molecule therapeutics such as monoclonal antibodies and antibody-drug-conjugates, because detailed high-throughput characterization and quality control methods are required.
“Undoubtedly, the advancement of top-down proteomics is stimulated by the commercial growth of large molecule therapeutics such as monoclonal antibodies and antibody-drug-conjugates as detailed and high-throughput methods for their characterization and quality control are required [81,159,160].”
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Ntai et al. identified changes in PTMs, such as Cys118 nitrosylation and C-terminal methylation, using isogenic KRAS colorectal cancer cell lines and patient CRC tumors.
“They identified changes in PTMs (such as Cys118 nitrosylation and C-terminal methylation) using both isogenic KRAS colorectal cancer (CRC) cell lines and patient CRC tumors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] source
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- Premisecitation
Targeted top-down proteomics was employed by Ntai et al. to investigate mutation in KRAS.
“Targeted top-down proteomics was employed by Ntai et al. to investigate mutation in KRAS [59].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] source
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- Premisecitation
He et al. used ultrahigh-resolution MS on a 21 T FTICR to diagnose hemoglobinopathy and β-thalassemia from blood with a 3 min assay.
“He et al. utilized ultrahigh-resolution MS on a 21 T FTICR enabling the diagnosis of hemoglobinopathy and β-thalassemia from blood with a 3 min assay [158].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [158] source
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- Premisecitation
Toby et al. developed a top-down proteomics-based protocol for analyzing human peripheral blood mononuclear cells.
“Recently, Toby et al. developed a top-down proteomics-based protocol for the analysis of human peripheral blood mononuclear cells [157].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [157] source
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PremisecitationIn that approach, ultrafiltration spin filters exchange incompatible salts for low-concentration organic acid or volatile ammonium-based salts before analysis.
“Using their outlined approach, incompatible salts and other components are removed from target proteins by ultrafiltration spin filters with specific molecular weight cutoffs to exchange MS-incompatible components for low concentration organic acid or volatile ammonium-based salts before analysis.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] source
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PremisecitationBottom-up proteomics is conventional because peptides are more soluble, easier to separate, and many bioinformatics tools exist.
“This “bottom-up” proteomics approach is conventional as peptides, resulting from intact protein digestion, are biochemically more soluble, easier to separate, and there is numerous well-developed bioinformatics software available for protein identification and quantification [10].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] source
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PremisecitationTop-down proteomics analyzes intact proteins and is preferred for unambiguous proteoform-resolved detail.
“For this reason, the “top-down” proteomics approach, which forgoes digestion to peptides and instead analyzes intact proteins, is the preferred method to achieve unambiguous, proteoform-resolved molecular detail (Figure 1) [15].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] source
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PremisecitationBrown et al. developed photocleavable ionic surfactant Azo, which has extraction efficiency comparable to SDS and is compatible with top-down MS after rapid UV degradation.
“Brown et al. have recently developed a photocleavable ionic surfactant, 4-hexylphenylazosulfonate (Azo) [31], which shows comparable protein extraction efficiency to common surfactants such as SDS and was compatible with top-down MS analysis after rapid UV-degradation (Figure 2) [31].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] source
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PremisecitationAzo enables rapid tryptic digestion, acting as an all-in-one surfactant for integrated top-down and bottom-up proteomics.
“Additionally, Azo was shown to enable rapid enzymatic digestion by trypsin, demonstrating its unique ability as an “all-in-one” surfactant for integrated top-down and bottom-up proteomics [36].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] source
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PremisecitationPrecipitation may take time and introduce unwanted variability and loss of sample, since certain proteins do not dissolve again easily.
“However, precipitation can be time-consuming and may add unintended sample variability and sample loss, as some proteins are not readily re-solubilized [26,27].”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationNative top-down MS uses non-denaturing conditions and often 100-200 mM ammonium acetate to analyze intact proteins and protein complexes.
“Briefly, native top-down MS involves using non-denaturing conditions and often employing 100–200 mM ammonium acetate as a volatile buffer for the analysis of intact proteins and protein complexes.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationIn native MS of protein-micelle complexes, the complex is ionized and the protein is liberated from the surfactant micelle using high collisional energy.
“In this case, the entire protein-micelle complex is ionized, and the protein is liberated from the surfactant micelle using high collisional energy in the mass spectrometer [49].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] source
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PremisecitationNative MS provides information on protein complex subunit stoichiometry, metal binding, protein interaction partners, and lipid binding.
“Valuable information regarding protein complex subunit stoichiometry [42], metal-binding [43,44], protein interaction partners [45], and lipid binding [46] can be achieved using native MS.”
Quote in the paperNot a substantial claim0 of 4 sources checkedMay combine two claims.
PremisecitationnanoPOTS is promising for highly sensitive top-down proteomics potentially including single-cell analysis, but most protein identifications were limited to sizes below 10 kDa.
“The nanoPOTs technology, although still highly specialized, shows enormous promise to enable highly sensitive top-down proteomics (potentially even single-cell top-down analysis), but the majority of protein identifications were limited to sizes <10 kDa.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] source
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PremisecitationMonolithic columns offer high-resolution protein separation with low backpressure.
“On the other hand, monolithic columns offer high-resolution protein separation with low backpressure [71].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] source
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PremisecitationSurface-silanized superparamagnetic magnetite particles coupled with GAPT-Zn improved synthetic scalability, reproducibility, and enrichment efficacy of these nanoparticles.
“More recently, the synthetic scalability, reproducibility, and enrichment efficacy of these NPs were improved using surface-silanized superparamagnetic magnetite (Fe3O4) particles coupled with the GAPT-Zn ligand [58].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] source
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PremisecitationcTnI is an important gold-standard cardiac biomarker.
“cardiac troponin I (cTnI) [65–67], an important and gold-standard cardiac biomarker [68].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] source
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PremisecitationThe NP-peptide approach enriched cTnI with high specificity (<1 ng/mL) and reproducibility while depleting highly abundant proteins such as human serum albumin.
“The NP-peptide approach enabled the enrichment of cTnI with high specificity (< 1 ng/mL) and reproducibility, while at the same time depleted highly abundant proteins like human serum albumin.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [68] source
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PremisecitationSingle-dimension RPLC can identify only ~100 intact proteoforms with limited coverage of larger species (>30 kDa).
“Typically a single-dimension of RPLC can only enable the identification of ~100 intact proteoforms with limited coverage of larger species (>30 kDa) [69].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [69] source
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PremisecitationAntibodies have limitations including batch-to-batch variation, high production cost, poor chemical stability, and lack of proteoform-specific epitope recognition, which contribute to reproducibility issues.
“However, antibodies possess many inherent limitations: batch-to-batch variation, high cost of production, poor chemical stability, and lack of proteoform-specific epitope recognition that collectively contribute to reproducibility issues [62–64].”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationLong columns >1 m provide peak capacity >400 and confidently identify ~900 proteoforms, but operate at ultrahigh pressures (~14,000 psi) and are not always practical.
“Although long columns (>1 m) were demonstrated to provide a peak capacity of >400 and confidently identified ~900 proteoforms, they operate at ultrahigh pressures (~14,000 psi) and are not always practical [70].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] source
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PremisecitationGargano et al. developed online capillary HILIC for top-down proteomics.
“More recently, Gargano et al. developed online capillary HILIC for top-down proteomics [76].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] source
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PremisecitationThey used a C4 trap column for loading and doped propionic acid in the electrospray interface to overcome signal suppression of trifluoroacetic acid in the mobile phase.
“Notably, they utilized a C4 trap column for loading (bypassing the traditional use of high organic solvent for sample composition) and doped propionic acid in the electrospray interface to overcome the signal suppression of trifluoroacetic acid in the mobile phase [76].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] source
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PremisecitationThe Sun group optimized dynamic pH junction CZE using 10% acetic acid as background electrolyte to load ~1 μL and demonstrated single-shot CZE-MS identification of ~600 proteoforms from E. coli lysate.
“To address these major issues, the Sun group optimized the dynamic pH junction CZE method, using 10% acetic acid as the background electrolyte, to load ~1 μL of sample and they demonstrated the use of single-shot CZE-MS analysis to identify ~600 proteoforms from an Escherichia coli lysate [74].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] source
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PremisecitationChen et al. demonstrated online HIC-MS for determination of relative hydrophobicity, intact masses, and glycosylations of monoclonal antibodies and for gaining sequence and structural information using MS/MS.
“Chen et al. demonstrated online HIC-MS analysis for determination of the relative hydrophobicity, intact masses, and glycosylations of monoclonal antibodies (mAb) as well as gaining sequence and structural information using MS/MS [81].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [81] source
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PremisecitationOnline SEC has been used for rapid online desalting of antibodies and protein complexes.
“For example, online size exclusion chromatography (SEC) has been used for the rapid online desalting of antibodies and protein complexes [77].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [77] source
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PremisecitationIEX-MS has been used to characterize protein conjugates.
“Similarly, ion-exchange chromatography (IEX)-MS has been used to characterize protein conjugates [78,79].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationHILIC proteome coverage was limited and significant work remains before its full potential for top-down proteomics is recognized.
“However, the proteome coverage was limited and significant work will still be needed before the full potential of HILIC for top-down proteomics is recognized.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] source
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PremisecitationNative SEC and CZE coupled identified 672 proteoforms, 144 proteins, and 23 protein complexes.
“For example, native SEC and CZE were coupled to identify 672 proteoforms, 144 proteins, and 23 protein complexes [88].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [88] source
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PremisecitationLarge proteins have inherently lower signal-to-noise and are underrepresented in top-down studies.
“Often large proteins, which have an inherently lower signal-to-noise, are underrepresented in top-down studies [83].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [83] source
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PremisecitationPEPPI-MS was introduced as an alternative gel-based separation technique.
“More recently, PEPPI (passively eluting protein from polyacrylamide gel as intact species)-MS was introduced as an alternative gel-based separation technique [85].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] source
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Premisenone givensSEC was developed by coupling columns with differing pore sizes and using an MS-compatible mobile phase (1% formic acid).
“To bypass the use of SDS for separation, serial SEC (sSEC) was developed by coupling columns with differing pore sizes and using an MS-compatible mobile phase (1% formic acid).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationUsing PEPPI, good protein recovery and high-resolution separation were achieved for top-down proteomics of proteins <50 kDa.
“Using PEPPI, good protein recovery, and high-resolution separation was achieved for top-down proteomics of protein <50 kDa.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] source
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PremisecitationsSEC achieved high-resolution size-based separation of cardiac sarcomere proteins and, when used for offline fractionation before RPLC-MS, enabled detection of ~4,000 unique proteoforms up to 223 kDa.
“sSEC was used to achieve high-resolution size-based separation of cardiac sarcomere proteins and, when used as for offline fractionation before RPLC-MS, enabled the detection of ~4,000 unique proteoforms up to 223 kDa [69].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] source
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Premisenone givenOffline protein fractionation remains labor-intensive, low-throughput, and requires relatively large sample quantities, making it unsuitable for sample-limited applications.
“Despite the advancements in multidimensional separation strategies, performing offline protein fractionation remains labor-intensive, low-throughput, and requires relatively large sample quantities making it not suitable for sample limited applications.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLESA directly samples proteins from a solid surface for analysis of proteins and protein complexes.
“Another emerging technique is liquid extraction surface analysis (LESA), which directly sampling proteins from a solid surface for analysis of protein and protein complexes [94,95].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Premisecitationq-TOF mass spectrometers are a common alternative, robust, affordable, and capable of analyzing relatively large protein species.
“Quadrupole time-of-flight (q-TOF) mass spectrometers are a common alternative instrument platform, as they are robust, affordable, and capable of analyzing relatively large protein species [69,97].”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationESI is predominantly utilized for top-down proteomics because it is easy to interface with common LC systems.
“Although several ionization techniques are available, ESI is still predominately utilized for top-down proteomics as it is easy to interface with common LC systems [92].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [92] source
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PremisecitationBenchtop Orbitrap mass spectrometers are the most common instrument for proteomics, bypass cryogenic cooling, and offer high resolution and faster acquisition.
“Currently, benchtop Orbitrap mass spectrometers are the most common instrument for proteomics as they bypass the need for cryogenic cooling (which is needed for the magnets of FTICR instruments) while still offering high-resolution and faster acquisition speeds [98,99].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationFTICR mass spectrometers are traditionally the instrument of choice for top-down because they resolve very large species, but slower scan speed can limit LC-MS/MS and global protein characterization.
“Traditionally, Fourier-transform ion cyclotron resonance (FTICR) mass spectrometers are the instrument of choice for top-down because of its capabilities to resolve very large species [96]; however, the slower scan speed can limit its capabilities for effective LC-MS/MS analysis and global protein characterization.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [96] source
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PremisecitationKafader et al. demonstrated increased sensitivity and sequence coverage when employing CDMS of intact protein analysis.
“Additionally, Kafader et. al demonstrated increase sensitivity and sequence coverage when employing CDMS of intact protein analysis [107].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [107] source
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PremisecitationCDMS advantage is analysis of very large biomolecules including virus particles (2.47 MDa) and highly complex intact protein mixtures.
“The major advantage of CDMS is the analysis of very large biomolecules including virus particles (2.47 MDa) and highly complex intact protein mixtures [108,109].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationPTR MS reduces the average number of charge states for improved signal-to-noise and reduced spectral complexity for identification of protein complex mixtures.
“Similarly, proton transfer reaction (PTR) MS has been used to reduce the average number of charge states for improved signal-to-noise and reduced spectral complexity for the identification of protein complex mixtures [106].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [106] source
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PremisecitationDDA in top-down LC-MS selects the topmost intense peaks in the initial MS scan for fragmentation.
“Generally, data acquisition in top-down on an LC-MS timescale is performed using data-dependent acquisition (DDA) wherein the topmost intense peaks in the initial MS scan are selected for fragmentation [113].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [113] source
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PremisecitationECD and ETD breakages along the protein backbone occur more randomly, enabling higher sequence coverage while preserving labile PTMs.
“Breakages along the protein backbone occur more randomly enabling higher sequence coverage while preserving labile PTMs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] source
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PremisecitationIn a cited study, AI-ETD identified 935 proteoforms, while HCD, ETD, and EThcD identified 1014, 915, and 817 proteoforms, respectively.
“For example, Riley et al. demonstrated AI-ETD could identify 935 proteoforms while HCD, ETD, and EThcD identified 1014 proteoforms, 915, and 817, respectively [121].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [121] source
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Premisenone givenUVPD predominantly breaks the bond between the alpha carbon and the carbonyl, yielding a/x ions, but can also produce b/y and c/z ions.
“Predominately, UVPD breaks the bond between the alpha carbon and the carbonyl, resulting in a/x ions, but also can produce b/y and c/z ions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenDespite challenges of sequencing intact proteins, top-down proteomics has enabled a wealth of information regarding protein isoform switching and changes in PTMs.
“Despite the challenges of sequencing intact proteins, top-down proteomics has enabled a wealth of information regarding protein isoform switching and changes in PTMs.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationUVPD's diversity of bond breakages makes it ideal for deep sequence coverage, but higher numbers of protein identifications are still obtained using HCD for global top-down analysis by LC-MS.
“The diversity of bond breakages afforded by UVPD makes it ideal for deep sequence coverage, but higher numbers of protein identifications are still obtained using HCD for global top-down analysis by LC-MS [117].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [117] source
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PremisecitationCAD and HCD may cleave labile PTMs and cause unwanted neutral loss of water and ammonium.
“However, because CAD and HCD often break the most labile bonds, it may cleave labile PTMs (e.g., phosphorylation) and cause unwanted neutral loss of water and ammonium [112].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] source
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Interpretationnone givenContinuous developments in sample preparation, intact protein separation, and instrumentation for top-down MS have broadened its capabilities to characterize proteoforms from a range of samples on an increasingly global scale.
“Continuous developments in sample preparation, intact protein separation, and instrumentation for top-down MS have broadened its capabilities to characterize proteoforms from a range of samples on an increasingly global scale.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenProteoform-resolved information can substantially contribute to understanding molecular mechanisms of various diseases and identifying novel proteoform targets for therapeutic development toward precision medicine.
“Proteoform-resolved information can substantially contribute to the understanding of the molecular mechanisms underlying various diseases and for the identification of novel proteoform targets for better therapeutic development toward precision medicine.”
Quote in the paperNot a substantial claim- Rests on an assumption: Many diseases have complex molecular mechanisms that remain poorly understood.
- Rests on an assumption: Improved understanding of disease mechanisms is necessary for developing more effective diagnostics and therapeutics for precision medicine.
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PremisecitationEID uses high energy electrons for fragmentation and shows promise for improved internal fragmentation for higher sequence coverage.
“Recently, electron ionization dissociation (EID), which uses high energy electrons for fragmentation, has shown promise for improved internal fragmentation for higher sequence coverage [116].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [116] Zenaidee M, 2020, Internal fragments generated by electron ionization dissociation enhances protein top-down mass spectrometry. J. Am. Soc. Mass Spectrom
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PremisecitationUVPD preserves labile modifications and, unlike ECD and ETD, is charge state independent.
“Ultraviolet photodissociation (UVPD) also preserves labile modification, but unlike ECD and ETD, it is charge state independent [20].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] source
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PremisecitationSlower reaction kinetics, protein-to-protein variability, and charge state dependence limit ECD and ETD for global proteomic analysis.
“However, the slower reaction kinetics, protein-to-protein variability, and charge state dependence of these techniques limit their application for global proteomic analysis[112].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] source
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PremisecitationUniDec was developed to handle highly heterogeneous spectra, which has been critical for interpreting native protein mass spectra.
“UniDec was developed to handle highly heterogeneous spectra, which has been critical for the interpretation of native protein mass spectra [127].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [127] source
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PremisecitationTHRASH was the first software to automate deconvolution of high-resolution mass spectra and remains widely used.
“Thorough High-Resolution Analysis of Spectra by Horn (THRASH) was the first software to automate the deconvolution of high-resolution mass spectra and is still widely used [124].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [124] source
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InterpretationcitationThe increasing availability of different fragmentation tools has enabled high protein sequence coverage, improved global proteoform characterization, and characterization of higher-order protein structure.
“Overall, the growing number of different fragmentation tools available has enabled high protein sequence coverage, improved global proteoform characterization, and characterization of higher-order protein structure [112].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [112] source
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PremisecitationTHRASH compares experimental envelopes to a theoretical isotopomer envelope based on average amino acid composition (averagine) and assigns a statistical score from the overlap.
“THRASH uses a theoretical isotopomer envelope based on the average elemental composition of amino acids (averagine) [125] to compare to the experimental envelopes. A statistical score is then assigned based on the overlap of the experimental and theoretical fit.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [125] source
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PremisecitationMS-Deconv generates many candidate isotopomer envelopes and scores sets of envelopes rather than a single fit.
“On the other hand, MS-Deconv generates a large set of candidate isotopomer envelopes and scores sets of envelopes rather than a single fit [126].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [126] source
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PremisecitationMS/MS analysis has been used to study protein complexes and protein-ligand binding.
“Beyond primary sequence coverage, MS/MS analysis has been utilized to study protein complexes [122] and protein-ligand binding [123].”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFLASHDeconv used pattern matching to deconvolute MS quickly, with speeds orders of magnitude higher than conventional approaches.
“Recently, FLASHDeconv used pattern matching to quickly deconvolute MS with speeds orders of magnitudes higher than conventional approaches [128].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [128] source
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PremisecitationMS4 analysis can identify both the proteoform state and the associated ligand structure.
“For example, Gault et al. demonstrated the use of MS4 analysis to identify both the proteoform state and the associated ligand structure [123].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [123] source
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PremisecitationHypertrophic cardiomyopathy is a commonly heritable cardiovascular disease that thickens the ventricular septum and leads to obstructive heart failure if untreated.
“Hypertrophic cardiomyopathy is a commonly heritable cardiovascular disease that results in the thickening of the ventricular septum, which results in obstructive heart failure if left untreated [147].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [147] source
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PremisecitationMASH Explorer integrates multiple spectral deconvolution and database searching algorithms into a single freely available universal platform that can process top-down proteomics data from various vendor formats.
“recently the Ge group developed MASH Explorer, which integrates multiple spectral deconvolution and database searching algorithms into a single, freely-available universal platform that can process top-down proteomics data from various vendor formats [139].”
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PremisecitationMS-based proteomics has become a staple in biomedical research for discovering novel biomarkers and elucidating disease mechanisms.
“MS-based proteomics has become a staple in biomedical research for the discovery of novel biomarkers and elucidation of disease mechanisms [140].”
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PremisecitationAround 1,400 mutations have been identified in 11 genes related to the sarcomere.
“While around 1,400 mutations have been identified in 11 genes related to the sarcomere, the molecular events leading to disease phenotype remain largely misunderstood [148].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [148] source
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PremisecitationIn the heart, protein isoform switching and PTMs regulate cardiac contraction and relaxation and contribute to heart failure progression.
“For example, in the heart, protein isoform switching [141], and PTMs are known to regulate cardiac contraction and relaxation, as well as play a role in the progression of heart failure [61,142,143].”
Quote in the paperNot a substantial claim0 of 4 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCirculating cTnI released into the blood after myocardial infarction is a known cardiac protein biomarker.
“circulating cTnI released into the blood upon myocardial infarction is a known cardiac protein biomarker [144–146].”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
InterpretationcitationThe correlation suggests protein crosstalk or dysregulation of signaling by cAMP-dependent protein kinase A.
“Interestingly, the authors determined a strong linear correlation of decreased phosphorylation levels of cardiac troponin I and enigma homolog 2 in the HCM samples suggesting protein crosstalk or dysregulation of signaling by cAMP-dependent protein kinase A (Figure 4) [149].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [149] source
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PremisecitationhiPSC-CMs offer clinical opportunities to study heritable cardiovascular diseases, test drug candidates, and enable cardiac regeneration and precision medicine.
“While patient tissue samples are the most relevant for disease studies, human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer unprecedented clinical opportunities to study heritable cardiovascular diseases, test various drug candidates, and enable cardiac regeneration and precision medicine [150].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [150] source
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- Rests on an assumption: Patient tissue samples are the most relevant for disease studies.
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PremisecitationSarcopenia has detrimental effects on skeletal muscle due to deterioration of muscle mass.
“The effects of aging, or sarcopenia, has detrimental effects on skeletal muscle due to the deterioration of muscle mass [152].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [152] source
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InterpretationcitationSkeletal muscle is highly heterogeneous in its myofilament proteoforms.
“Quantitative top-down proteomics discovered that there were distinct differences in the myofilament proteoforms found across the seven various rat skeletal muscle tissues, which demonstrates the highly heterogeneous nature of skeletal muscle (Figure 6) [154].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [154] source
Not checked in the free run.
May combine two claims.
PremisecitationA range of clinical samples including serum, urine, or biopsy tissue have been studied using top-down proteomics to identify protein profiles characteristic of a disease and generate more reliable biomarkers.
“A range of clinical samples including serum, urine, or biopsy tissue, have been studied using top-down proteomics to identify protein profiles characteristic of a certain disease generating a more reliable biomarker [155–157].”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationAnalysis of antibodies by top-down can quickly determine modification state, drug conjugate ratio, quality control screening, and more.
“For example, analysis of antibodies by top-down can quickly determine the modification state [81], drug conjugate ratio [161], quality control screening [162], and more [163,164].”
Quote in the paperNot a substantial claim0 of 3 sources checked
The paper relies on this without support.
Many diseases have complex molecular mechanisms that remain poorly understood.
“However, many challenges remain to unravel the complex nature of diseases.”
The paper relies on this without support.
Improved understanding of disease mechanisms is necessary for developing more effective diagnostics and therapeutics for precision medicine.
“A better understanding of the underlying molecular mechanism of diseases is critical for developing more effective diagnostic tools and therapeutics towards precision medicine.”
The paper relies on this without support.
hiPSC-CMs resemble fetal cardiomyocytes rather than fully matured cardiomyocytes.
“However, a major limitation to hiPSC-CM resembles fetal CMs rather than fully matured CMs.”
The paper relies on this without support.
There is a lack of comprehensive methods to measure the maturity of hiPSC-CMs.
“In addition, there is a lack of comprehensive methods to measure the maturity of hiPSC-CMs.”
The paper relies on this without support.
There remains an incomplete understanding of the molecular mechanism underlying sarcopenia.
“However, there remains an incomplete understanding of the molecular mechanism underlying sarcopenia.”
The paper relies on this without support.
Patient tissue samples are the most relevant for disease studies.
“While patient tissue samples are the most relevant for disease studies, human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer unprecedented clinical opportunities to study heritable cardiovascular diseases, test various drug candidates, and enable cardiac regeneration and precision medicine [150].”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Top-down proteomics still has limitations in protein separation and coverage of large proteoforms above 30 kDa.
“In the past decade, TDP has gained momentum, but limitations in protein separation and coverage of large proteoforms (>30 kDa) are still present (19).”
From The Blood Proteoform Atlas: A reference map of proteoforms in human hematopoietic cells (2022) · cites this paper as [19]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Study date conflicts with its reference
MinorThe text dates the cited study to 2012, but reference 84 lists its publication year as 2011.
“In 2012, the Kelleher group combined solution isoelectric focusing, GELFrEE, and RPLC-MS/MS to identify ~3,000 proteoforms from 1043 protein groups including proteins up to 105 kDa [84].”
“84. Tran JC, Zamdborg L, Ahlf DR Mapping intact protein isoforms in discovery mode using top-down proteomics. Nature, 480(7376), 254– 258 (2011).”
Cites
Tissue-based map of the human proteome
Uhlén, M., Fagerberg, L., Hallström, B. M., Lindskog, C., Oksvold, P., Mardinoglu, A., Sivertsson, Å., Kampf, C., Sjöstedt, E., Asplund, A., et al. (2015) · Science · doi:10.1126/science.1260419 · Cited by 15,286 · see citing works
Electrospray Ionization for Mass Spectrometry of Large Biomolecules
Fenn, J. B., Mann, M., Meng, C. K., Wong, S. F., & Whitehouse, C. M. (1989) · Science · doi:10.1126/science.2675315 · Cited by 7,634 · see citing works
Mass spectrometry-based proteomics
Aebersold, R., & Mann, M. (2003) · Nature · doi:10.1038/nature01511 · Cited by 6,955 · see citing works
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484 · see citing works
Large-scale analysis of the yeast proteome by multidimensional protein identification technology
Washburn, M. P., Wolters, D. A., & Yates, J. R. (2001) · Nature Biotechnology · doi:10.1038/85686 · Cited by 4,759 · see citing works
Anderson, N. L., & Anderson, N. G. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r200007-mcp200 · Cited by 4,414 · see citing works
Use of proteomic patterns in serum to identify ovarian cancer
Petricoin, E. F., Ardekani, A. M., Hitt, B. A., Levine, P. J., Fusaro, V. A., Steinberg, S. M., Mills, G. B., Simone, C., Fishman, D. A., Kohn, E. C., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07746-2 · Cited by 3,236 · see citing works
Peptide and protein sequence analysis by electron transfer dissociation mass spectrometry
Syka, J. E. P., Coon, J. J., Schroeder, M. J., Shabanowitz, J., & Hunt, D. F. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402700101 · Cited by 2,370 · see citing works
Electron Capture Dissociation of Multiply Charged Protein Cations. A Nonergodic Process
Zubarev, R. A., Kelleher, N. L., & McLafferty, F. W. (1998) · Journal of the American Chemical Society · doi:10.1021/ja973478k · Cited by 1,881 · see citing works
Proteoform: a single term describing protein complexity
The Consortium for Top Down Proteomics, Smith, L. M., & Kelleher, N. L. (2013) · Nature Methods · doi:10.1038/nmeth.2369 · Cited by 1,528 · see citing works
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491 · see citing works
Zhang, H., Li, X., Martin, D. B., & Aebersold, R. H. (2003) · Nature Biotechnology · doi:10.1038/nbt827 · Cited by 1,389 · see citing works
Phospholamban: a crucial regulator of cardiac contractility
MacLennan, D. H., & Kranias, E. G. (2003) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1151 · Cited by 1,088 · see citing works
Proteomics by Mass Spectrometry: Approaches, Advances, and Applications
Yates, J. R., Ruse, C. I., & Nakorchevsky, A. (2009) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-061008-124934 · Cited by 1,078 · see citing works
Anderson, N. L., Polanski, M., Pieper, R., Gatlin, T., Tirumalai, R. S., Conrads, T. P., Veenstra, T. D., Adkins, J., Pounds, J. G., Fagan, R. J., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m300127-mcp200 · Cited by 1,004 · see citing works
Marty, M. T., Baldwin, A. J., Marklund, E. G., Hochberg, G. K. A., Benesch, J. L. P., & Robinson, C. V. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b00140 · Cited by 1,000 · see citing works
Clinical Course and Management of Hypertrophic Cardiomyopathy
Maron, B. J. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1710575 · Cited by 944 · see citing works
How many human proteoforms are there?
Aebersold, R., Agar, J. N., Amster, I. J., Baker, M. S., Bertozzi, C. R., Boja, E. S., Costello, C. E., Cravatt, B. F., Fenselau, C., Garcia, B. A., et al. (2018) · Nature Chemical Biology · doi:10.1038/nchembio.2576 · Cited by 907 · cited 1× · see citing works
“The human proteome has a high dynamic range; therefore, the analysis of certain protein classes, low abundance proteoforms, and target proteins often requires an enrichment step [4,52].”
BackgroundSelf-citationReproducibility crisis: Blame it on the antibodies
Baker, M. (2015) · Nature · doi:10.1038/521274a · Cited by 830 · see citing works
Mapping intact protein isoforms in discovery mode using top-down proteomics
Tran, J. C., Zamdborg, L., Ahlf, D. R., Lee, J. E., Catherman, A. D., Durbin, K. R., Tipton, J. D., Vellaichamy, A., Kellie, J. F., Li, M., et al. (2011) · Nature · doi:10.1038/nature10575 · Cited by 665 · see citing works
Reproducibility: Standardize antibodies used in research
Bradbury, A., & Plückthun, A. (2015) · Nature · doi:10.1038/518027a · Cited by 647 · see citing works
The SCX/IMAC enrichment approach for global phosphorylation analysis by mass spectrometry
Villén, J., & Gygi, S. P. (2008) · Nature Protocols · doi:10.1038/nprot.2008.150 · Cited by 633 · see citing works
Highly selective enrichment of phosphorylated peptides using titanium dioxide
Thingholm, T. E., Jørgensen, T. J. D., Jensen, O. N., & Larsen, M. R. (2006) · Nature Protocols · doi:10.1038/nprot.2006.185 · Cited by 618 · see citing works
Native Mass Spectrometry: What is in the Name?
Leney, A. C., & Heck, A. J. R. (2017) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-016-1545-3 · Cited by 602 · cited 1× · see citing works
“More recently, native top-down MS has been utilized to study protein structure [40] and a more extensive summary of this emerging technology can be found in a recent review [41].”
Zhu, Y., Piehowski, P. D., Zhao, R., Chen, J., Shen, Y., Moore, R. J., Shukla, A. K., Petyuk, V. A., Campbell-Thompson, M., Mathews, C. E., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03367-w · Cited by 587 · see citing works
Progress in Top-Down Proteomics and the Analysis of Proteoforms
Toby, T. K., Fornelli, L., & Kelleher, N. L. (2016) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-071015-041550 · Cited by 576 · see citing works
Hebert, A. S., Richards, A. L., Bailey, D. J., Ulbrich, A., Coughlin, E. E., Westphall, M. S., & Coon, J. J. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.034769 · Cited by 528 · cited 1× · see citing works
“Currently, benchtop Orbitrap mass spectrometers are the most common instrument for proteomics as they bypass the need for cryogenic cooling (which is needed for the magnets of FTICR instruments) while still offering high-resolution and faster acquisition speeds [98,99].”
BackgroundAutomated reduction and interpretation of
Horn, D. M., Zubarev, R. A., & McLafferty, F. W. (2000) · Journal of the American Society for Mass Spectrometry · doi:10.1016/s1044-0305(99)00157-9 · Cited by 507 · see citing works
Senko, M. W., Beu, S. C., & McLaffertycor, F. W. (1995) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(95)00017-8 · Cited by 451 · see citing works
Mass spectrometry of intact membrane protein complexes
Laganowsky, A., Reading, E., Hopper, J. T. S., & Robinson, C. V. (2013) · Nature Protocols · doi:10.1038/nprot.2013.024 · Cited by 409 · see citing works
High-sensitivity Orbitrap mass analysis of intact macromolecular assemblies
Rose, R. J., Damoc, E., Denisov, E., Makarov, A., & Heck, A. J. R. (2012) · Nature Methods · doi:10.1038/nmeth.2208 · Cited by 392 · see citing works
Best practices and benchmarks for intact protein analysis for top-down mass spectrometry
Donnelly, D. P., Rawlins, C. M., DeHart, C. J., Fornelli, L., Schachner, L. F., Lin, Z., Lippens, J. L., Aluri, K. C., Sarin, R., Chen, B., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0457-0 · Cited by 377 · see citing works
Self-citationComplete Protein Characterization Using Top-Down Mass Spectrometry and Ultraviolet Photodissociation
Shaw, J. B., Li, W., Holden, D. D., Zhang, Y., Griep-Raming, J., Fellers, R. T., Early, B. P., Thomas, P. M., Kelleher, N. L., & Brodbelt, J. S. (2013) · Journal of the American Chemical Society · doi:10.1021/ja4029654 · Cited by 371 · see citing works
Proteomics of Integral Membrane ProteinsTheory and Application
Speers, A. E., & Wu, C. C. (2007) · Chemical Reviews · doi:10.1021/cr068286z · Cited by 325 · see citing works
Proteoforms as the next proteomics currency
Smith, L. M., & Kelleher, N. L. (2018) · Science · doi:10.1126/science.aat1884 · Cited by 322 · see citing works
Labugger, R., Organ, L., Collier, C., Atar, D., & Van Eyk, J. E. (2000) · Circulation · doi:10.1161/01.cir.102.11.1221 · Cited by 315 · see citing works
Yu, Y.-Q., Gilar, M., Lee, P. J., Bouvier, E. S. P., & Gebler, J. C. (2003) · Analytical Chemistry · doi:10.1021/ac0346196 · Cited by 313 · see citing works
PtdIns(4,5)P2 stabilizes active states of GPCRs and enhances selectivity of G-protein coupling
Yen, H.-Y., Hoi, K. K., Liko, I., Hedger, G., Horrell, M. R., Song, W., Wu, D., Heine, P., Warne, T., Lee, Y., et al. (2018) · Nature · doi:10.1038/s41586-018-0325-6 · Cited by 284 · see citing works
Kou, Q., Xun, L., & Liu, X. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw398 · Cited by 276 · see citing works
Clustering Millions of Tandem Mass Spectra
Frank, A. M., Bandeira, N., Shen, Z., Tanner, S. W., Briggs, S. P., Smith, R. D., & Pevzner, P. A. (2007) · Journal of Proteome Research · doi:10.1021/pr070361e · Cited by 267 · see citing works
Katrukha, A. G., Bereznikova, A. V., Esakova, T. V., Pettersson, K., Lövgren, T., Severina, M. E., Pulkki, K., Vuopio-Pulkki, L.-M., & Gusev, N. B. (1997) · Clinical Chemistry · doi:10.1093/clinchem/43.8.1379 · Cited by 266 · see citing works
Time-of-flight mass spectrometry (concepts, achievements, and prospects)
Mamyrin, B. A. (2001) · International Journal of Mass Spectrometry · doi:10.1016/s1387-3806(00)00392-4 · Cited by 251 · cited 1× · see citing works
“Quadrupole time-of-flight (q-TOF) mass spectrometers are a common alternative instrument platform, as they are robust, affordable, and capable of analyzing relatively large protein species [69,97].”
BackgroundIon Activation Methods for Peptides and Proteins
Brodbelt, J. S. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b04563 · Cited by 245 · see citing works
On the Scalability and Requirements of Whole Protein Mass Spectrometry
Compton, P. D., Zamdborg, L., Thomas, P. M., & Kelleher, N. L. (2011) · Analytical Chemistry · doi:10.1021/ac2010795 · Cited by 243 · see citing works
Age-related muscle dysfunction
Thompson, L. V. (2009) · Experimental Gerontology · doi:10.1016/j.exger.2008.05.003 · Cited by 226 · see citing works
Top‐down proteomics in health and disease: Challenges and opportunities
Gregorich, Z. R., & Ge, Y. (2014) · PROTEOMICS · doi:10.1002/pmic.201300432 · Cited by 217 · see citing works
Self-citationTop-Down Proteomics: Ready for Prime Time?
Chen, B., Brown, K. A., Lin, Z., & Ge, Y. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.7b04747 · Cited by 210 · see citing works
Self-citationIdentification and Quantification of Proteoforms by Mass Spectrometry
Schaffer, L. V., Millikin, R. J., Miller, R. M., Anderson, L. C., Fellers, R. T., Ge, Y., Kelleher, N. L., LeDuc, R. D., Liu, X., Payne, S. H., et al. (2019) · PROTEOMICS · doi:10.1002/pmic.201800361 · Cited by 209 · see citing works
Self-citationAssembly of the membrane domain of ATP synthase in human mitochondria
He, J., Ford, H. C., Carroll, J., Douglas, C. P. L. C., Gonzales, E., Ding, S., Fearnley, I. M., & Walker, J. E. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1722086115 · Cited by 200 · see citing works
Kafader, J. O., Melani, R. D., Durbin, K. R., Ikwuagwu, B., Early, B. P., Fellers, R. T., Beu, S. C., Zabrouskov, V., Makarov, A. A., Maze, J. T., et al. (2020) · Nature Methods · doi:10.1038/s41592-020-0764-5 · Cited by 197 · see citing works
Zhang, J., Guy, M. J., Norman, H. S., Chen, Y.-C., Xu, Q., Dong, X., Guner, H., Wang, S., Kohmoto, T., Young, K. H., et al. (2011) · Journal of Proteome Research · doi:10.1021/pr200258m · Cited by 194 · see citing works
Self-citationDynamics of ions of intact proteins in the Orbitrap mass analyzer
Makarov, A., & Denisov, E. (2009) · Journal of the American Society for Mass Spectrometry · doi:10.1016/j.jasms.2009.03.024 · Cited by 194 · see citing works
LeDuc, R. D., Taylor, G. K., Kim, Y.-B., Januszyk, T. E., Bynum, L., Solà, J., Garavelli, J., & Kelleher, N. (2004) · Nucleic Acids Res. · doi:10.1093/nar/gkh447 · Cited by 192 · see citing works
Protein assemblies ejected directly from native membranes yield complexes for mass spectrometry
Chorev, D. S., Baker, L. A., Wu, D., Beilsten-Edmands, V., Rouse, S. L., Zeev-Ben-Mordehai, T., Jiko, C., Samsudin, F., Gerle, C., Khalid, S., et al. (2018) · Science · doi:10.1126/science.aau0976 · Cited by 191 · see citing works
Induced pluripotent stem cells: at the heart of cardiovascular precision medicine
Chen, I. Y., Matsa, E., & Wu, J. C. (2016) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2016.36 · Cited by 191 · see citing works
Cardiac troponin I as diagnostic and prognostic marker in severe heart failure
La Vecchia, L., Mezzena, G., Zanolla, L., Paccanaro, M., Varotto, L., Bonanno, C., & Ometto, R. (2000) · The Journal of Heart and Lung Transplantation · doi:10.1016/s1053-2498(00)00120-0 · Cited by 191 · see citing works
Wörner, T. P., Snijder, J., Bennett, A., Agbandje-McKenna, M., Makarov, A. A., & Heck, A. J. R. (2020) · Nature Methods · doi:10.1038/s41592-020-0770-7 · Cited by 186 · see citing works
Surfactant effects on protein structure examined by electrospray ionization mass spectrometry
Loo, R. R. O., Dales, N., & Andrews, P. C. (1994) · Protein Science · doi:10.1002/pro.5560031109 · Cited by 184 · cited 1× · see citing works
“In particular, precipitation is often required when using surfactants, which are often employed during cell lysis to solubilize hydrophobic membrane proteins, because they significantly inhibit MS signal by outcompeting proteins for ionization or by forming harmful adducts [24,25].”
BackgroundMembrane Protein–Lipid Interactions Probed Using Mass Spectrometry
Bolla, J. R., Agasid, M. T., Mehmood, S., & Robinson, C. V. (2019) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-013118-111508 · Cited by 175 · see citing works
Gault, J., Liko, I., Landreh, M., Shutin, D., Bolla, J. R., Jefferies, D., Agasid, M., Yen, H.-Y., Ladds, M. J. G. W., Lane, D. P., et al. (2020) · Nature Methods · doi:10.1038/s41592-020-0821-0 · Cited by 171 · see citing works
Deconvolution and Database Search of Complex Tandem Mass Spectra of Intact Proteins
Liu, X., Inbar, Y., Dorrestein, P. C., Wynne, C., Edwards, N., Souda, P., Whitelegge, J. P., Bafna, V., & Pevzner, P. A. (2010) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m110.002766 · Cited by 170 · see citing works
VanAernum, Z. L., Busch, F., Jones, B. J., Jia, M., Chen, Z., Boyken, S. E., Sahasrabuddhe, A., Baker, D., & Wysocki, V. H. (2020) · Nature Protocols · doi:10.1038/s41596-019-0281-0 · Cited by 169 · see citing works
Advances in the Genetic Basis and Pathogenesis of Sarcomere Cardiomyopathies
Yotti, R., Seidman, C. E., & Seidman, J. G. (2019) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083118-015306 · Cited by 168 · see citing works
Susa, A. C., Xia, Z., & Williams, E. R. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b04897 · Cited by 167 · see citing works
Catherman, A. D., Durbin, K. R., Ahlf, D. R., Early, B. P., Fellers, R. T., Tran, J. C., Thomas, P. M., & Kelleher, N. L. (2013) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.030114 · Cited by 157 · see citing works
Top-down characterization of endogenous protein complexes with native proteomics
Skinner, O. S., Haverland, N. A., Fornelli, L., Melani, R. D., Do Vale, L. H. F., Seckler, H. S., Doubleday, P. F., Schachner, L. F., Srzentić, K., Kelleher, N. L., et al. (2018) · Nature Chemical Biology · doi:10.1038/nchembio.2515 · Cited by 155 · see citing works
Advances in the Mass Spectrometry of Membrane Proteins: From Individual Proteins to Intact Complexes
Barrera, N. P., & Robinson, C. V. (2011) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-062309-093307 · Cited by 154 · see citing works
Ge, Y., Rybakova, I. N., Xu, Q., & Moss, R. L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813369106 · Cited by 154 · see citing works
Self-citationInformed-Proteomics: open-source software package for top-down proteomics
Park, J., Piehowski, P., Wilkins, C. S., Zhou, M., Mendoza, J., Fujimoto, G. M., Gibbons, B. C., Shaw, J., Shen, Y., Shukla, A. K., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4388 · Cited by 153 · see citing works
Comprehensive Analysis of Protein Modifications by Top-Down Mass Spectrometry
Zhang, H., & Ge, Y. (2011) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.110.957829 · Cited by 148 · see citing works
Self-citationZhou, M., Lantz, C., Brown, K. A., Ge, Y., Paša-Tolić, L., Loo, J. A., & Lermyte, F. (2020) · Chemical Science · doi:10.1039/d0sc04392c · Cited by 146 · see citing works
Self-citationThe Role of the Detergent Micelle in Preserving the Structure of Membrane Proteins in the Gas Phase
Reading, E., Liko, I., Allison, T. M., Benesch, J. L. P., Laganowsky, A., & Robinson, C. V. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201411622 · Cited by 137 · see citing works
Cai, W., Tucholski, T., Chen, B., Alpert, A. J., McIlwain, S., Kohmoto, T., Jin, S., & Ge, Y. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b00380 · Cited by 135 · see citing works
Self-citationLermyte, F., Tsybin, Y. O., O’Connor, P. B., & Loo, J. A. (2019) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-019-02201-x · Cited by 132 · see citing works
ATP Synthase Diseases of Mitochondrial Genetic Origin
Dautant, A., Meier, T., Hahn, A., Tribouillard-Tanvier, D., di Rago, J.-P., & Kucharczyk, R. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00329 · Cited by 127 · see citing works
Fort, K. L., van de Waterbeemd, M., Boll, D., Reinhardt-Szyba, M., Belov, M. E., Sasaki, E., Zschoche, R., Hilvert, D., Makarov, A. A., & Heck, A. J. R. (2018) · The Analyst · doi:10.1039/c7an01629h · Cited by 122 · see citing works
Brunner, A. M., Lössl, P., Liu, F., Huguet, R., Mullen, C., Yamashita, M., Zabrouskov, V., Makarov, A., Altelaar, M. A. F., & Heck, A. J. R. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b00162 · Cited by 121 · see citing works
McCool, E. N., Lubeckyj, R. A., Shen, X., Chen, D., Kou, Q., Liu, X., & Sun, L. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b00693 · Cited by 117 · see citing works
Recent trends of capillary electrophoresis‐mass spectrometry in proteomics research
Gomes, F. P., & Yates, J. R. (2019) · Mass Spectrometry Reviews · doi:10.1002/mas.21599 · Cited by 112 · cited 2× · see citing works
“Capillary zone electrophoresis (CZE) has recently shown great promise as an alternative or complementary front-end separation due to its inherent sensitivity and peak capacity [73].”
BackgroundMethodQuantitation and Identification of Thousands of Human Proteoforms below 30 kDa
Durbin, K. R., Fornelli, L., Fellers, R. T., Doubleday, P. F., Narita, M., & Kelleher, N. L. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00997 · Cited by 111 · see citing works
A photocleavable surfactant for top-down proteomics
Brown, K. A., Chen, B., Guardado-Alvarez, T. M., Lin, Z., Hwang, L., Ayaz-Guner, S., Jin, S., & Ge, Y. (2019) · Nature Methods · doi:10.1038/s41592-019-0391-1 · Cited by 111 · see citing works
Self-citationOnline Hydrophobic Interaction Chromatography–Mass Spectrometry for Top-Down Proteomics
Chen, B., Peng, Y., Valeja, S. G., Xiu, L., Alpert, A. J., & Ge, Y. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.5b04285 · Cited by 110 · see citing works
Self-citationNtai, I., Fornelli, L., DeHart, C. J., Hutton, J. E., Doubleday, P. F., LeDuc, R. D., van Nispen, A. J., Fellers, R. T., Whiteley, G., Boja, E. S., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1716122115 · Cited by 108 · see citing works
Tucholski, T., Cai, W., Gregorich, Z. R., Bayne, E. F., Mitchell, S. D., McIlwain, S. J., de Lange, W. J., Wrobbel, M., Karp, H., Hite, Z., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2006764117 · Cited by 107 · see citing works
Self-citationIon Activation Methods for Peptides and Proteins
Macias, L. A., Santos, I. C., & Brodbelt, J. S. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b04859 · Cited by 107 · see citing works
Peng, Y., Gregorich, Z. R., Valeja, S. G., Zhang, H., Cai, W., Chen, Y.-C., Guner, H., Chen, A. J., Schwahn, D. J., Hacker, T. A., et al. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.040675 · Cited by 107 · see citing works
Self-citationUrner, L. H., Liko, I., Yen, H.-Y., Hoi, K.-K., Bolla, J. R., Gault, J., Almeida, F. G., Schweder, M.-P., Shutin, D., Ehrmann, S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14424-8 · Cited by 107 · see citing works
Augmented Phosphorylation of Cardiac Troponin I in Hypertensive Heart Failure
Dong, X., Sumandea, C. A., Chen, Y.-C., Garcia-Cazarin, M. L., Zhang, J., Balke, C. W., Sumandea, M. P., & Ge, Y. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.293258 · Cited by 99 · see citing works
Self-citationTop-down Proteomics: Technology Advancements and Applications to Heart Diseases
Cai, W., Tucholski, T. M., Gregorich, Z. R., & Ge, Y. (2016) · Expert Review of Proteomics · doi:10.1080/14789450.2016.1209414 · Cited by 99 · see citing works
Self-citationMuneeruddin, K., Nazzaro, M., & Kaltashov, I. A. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b02982 · Cited by 98 · see citing works
Lubeckyj, R. A., McCool, E. N., Shen, X., Kou, Q., Liu, X., & Sun, L. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b02532 · Cited by 96 · see citing works
Cleland, T. P., DeHart, C. J., Fellers, R. T., VanNispen, A. J., Greer, J. B., LeDuc, R. D., Parker, W. R., Thomas, P. M., Kelleher, N. L., & Brodbelt, J. S. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00043 · Cited by 96 · see citing works
Karabacak, M., Li, L., Tiwari, A., Hayward, L. J., Hong, P., Easterling, M. L., & Agar, J. N. (2008) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m800099-mcp200 · Cited by 95 · see citing works
Proton Transfer Charge Reduction Enables High-Throughput Top-Down Analysis of Large Proteoforms
Huguet, R., Mullen, C., Srzentić, K., Greer, J. B., Fellers, R. T., Zabrouskov, V., Syka, J. E. P., Kelleher, N. L., & Fornelli, L. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.9b03925 · Cited by 94 · see citing works
Definition of the mitochondrial proteome by measurement of molecular masses of membrane proteins
Carroll, J., Fearnley, I., & Walker, J. (2006) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0607719103 · Cited by 92 · see citing works
Takemori, A., Butcher, D. S., Harman, V. M., Brownridge, P., Shima, K., Higo, D., Ishizaki, J., Hasegawa, H., Suzuki, J., Yamashita, M., et al. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00303 · Cited by 90 · see citing works
Fornelli, L., Durbin, K. R., Fellers, R. T., Early, B. P., Greer, J. B., LeDuc, R. D., Compton, P. D., & Kelleher, N. L. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00698 · Cited by 88 · see citing works
A comprehensive pipeline for translational top-down proteomics from a single blood draw
Toby, T. K., Fornelli, L., Srzentić, K., DeHart, C. J., Levitsky, J., Friedewald, J., & Kelleher, N. L. (2019) · Nature Protocols · doi:10.1038/s41596-018-0085-7 · Cited by 86 · see citing works
STORI Plots Enable Accurate Tracking of Individual Ion Signals
Kafader, J. O., Beu, S. C., Early, B. P., Melani, R. D., Durbin, K. R., Zabrouskov, V., Makarov, A. A., Maze, J. T., Shinholt, D. L., Yip, P. F., et al. (2019) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-019-02309-0 · Cited by 85 · see citing works
Proteomics in Clinical Trials and Practice
Azad, N. S., Rasool, N., Annunziata, C. M., Minasian, L., Whiteley, G., & Kohn, E. C. (2006) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r600008-mcp200 · Cited by 85 · see citing works
Harper, C. C., Elliott, A. G., Oltrogge, L. M., Savage, D. F., & Williams, E. R. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.9b01669 · Cited by 84 · see citing works
Blackwell, A. E., Dodds, E. D., Bandarian, V., & Wysocki, V. H. (2011) · Analytical Chemistry · doi:10.1021/ac200452b · Cited by 84 · see citing works
FLASHDeconv: Ultrafast, High-Quality Feature Deconvolution for Top-Down Proteomics
Jeong, K., Kim, J., Gaikwad, M., Hidayah, S. N., Heikaus, L., Schlüter, H., & Kohlbacher, O. (2020) · Cell Systems · doi:10.1016/j.cels.2020.01.003 · Cited by 82 · see citing works
Chen, B., Lin, Z., Alpert, A. J., Fu, C., Zhang, Q., Pritts, W. A., & Ge, Y. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b01865 · Cited by 82 · see citing works
Self-citationNew Mass-Spectrometry-Compatible Degradable Surfactant for Tissue Proteomics
Chang, Y.-H., Gregorich, Z. R., Chen, A. J., Hwang, L., Guner, H., Yu, D., Zhang, J., & Ge, Y. (2015) · Journal of Proteome Research · doi:10.1021/pr5012679 · Cited by 80 · see citing works
Self-citationActivated Ion-Electron Transfer Dissociation Enables Comprehensive Top-Down Protein Fragmentation
Riley, N. M., Westphall, M. S., & Coon, J. J. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00249 · Cited by 79 · see citing works
Cai, W., Zhang, J., de Lange, W. J., Gregorich, Z. R., Karp, H., Farrell, E. T., Mitchell, S. D., Tucholski, T., Lin, Z., Biermann, M., et al. (2019) · Circulation Research · doi:10.1161/circresaha.119.315305 · Cited by 78 · see citing works
Self-citationShen, X., Kou, Q., Guo, R., Yang, Z., Chen, D., Liu, X., Hong, H., & Sun, L. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b02725 · Cited by 78 · see citing works
Shaw, J. B., Liu, W., Vasil′ev, Y. V., Bracken, C. C., Malhan, N., Guthals, A., Beckman, J. S., & Voinov, V. G. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b03129 · Cited by 77 · see citing works
Kafader, J. O., Durbin, K. R., Melani, R. D., Des Soye, B. J., Schachner, L. F., Senko, M. W., Compton, P. D., & Kelleher, N. L. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.9b00797 · Cited by 76 · see citing works
Nanoproteomics enables proteoform-resolved analysis of low-abundance proteins in human serum
Tiambeng, T. N., Roberts, D. S., Brown, K. A., Zhu, Y., Chen, B., Wu, Z., Mitchell, S. D., Guardado-Alvarez, T. M., Jin, S., & Ge, Y. (2020) · Nature Communications · doi:10.1038/s41467-020-17643-1 · Cited by 76 · see citing works
Self-citationMASH Explorer: A Universal Software Environment for Top-Down Proteomics
Wu, Z., Roberts, D. S., Melby, J. A., Wenger, K., Wetzel, M., Gu, Y., Ramanathan, S. G., Bayne, E. F., Liu, X., Sun, R., et al. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00469 · Cited by 76 · see citing works
Self-citationpTop 1.0: A High-Accuracy and High-Efficiency Search Engine for Intact Protein Identification
Sun, R.-X., Luo, L., Wu, L., Wang, R.-M., Zeng, W.-F., Chi, H., Liu, C., & He, S.-M. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.5b03963 · Cited by 71 · see citing works
Wongkongkathep, P., Han, J. Y., Choi, T. S., Yin, S., Kim, H. I., & Loo, J. A. (2018) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-018-2002-2 · Cited by 71 · see citing works
Specific Enrichment of Phosphoproteins Using Functionalized Multivalent Nanoparticles
Hwang, L., Ayaz-Guner, S., Gregorich, Z. R., Cai, W., Valeja, S. G., Jin, S., & Ge, Y. (2015) · Journal of the American Chemical Society · doi:10.1021/ja511833y · Cited by 70 · see citing works
Self-citationpParse: A method for accurate determination of monoisotopic peaks in high‐resolution mass spectra
Yuan, Z., Liu, C., Wang, H., Sun, R., Fu, Y., Zhang, J., Wang, L., Chi, H., Li, Y., Xiu, L., et al. (2011) · PROTEOMICS · doi:10.1002/pmic.201100081 · Cited by 69 · see citing works
Jin, Y., Lin, Z., Xu, Q., Fu, C., Zhang, Z., Zhang, Q., Pritts, W. A., & Ge, Y. (2019) · mAbs · doi:10.1080/19420862.2018.1525253 · Cited by 68 · see citing works
Self-citationValeja, S. G., Kaiser, N. K., Xian, F., Hendrickson, C. L., Rouse, J. C., & Marshall, A. G. (2011) · Analytical Chemistry · doi:10.1021/ac202429c · Cited by 67 · see citing works
Doucette, A. A., Vieira, D. B., Orton, D. J., & Wall, M. J. (2014) · Journal of Proteome Research · doi:10.1021/pr500864a · Cited by 63 · see citing works
Shen, Y., Tolić, N., Piehowski, P. D., Shukla, A. K., Kim, S., Zhao, R., Qu, Y., Robinson, E., Smith, R. D., & Paša-Tolić, L. (2017) · Journal of Chromatography A · doi:10.1016/j.chroma.2017.01.008 · Cited by 63 · see citing works
Zhou, M., Uwugiaren, N., Williams, S. M., Moore, R. J., Zhao, R., Goodlett, D., Dapic, I., Paša-Tolić, L., & Zhu, Y. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c00467 · Cited by 62 · see citing works
Mass Spectrometry Compatible Surfactant for Optimized In-Gel Protein Digestion
Saveliev, S. V., Woodroofe, C. C., Sabat, G., Adams, C. M., Klaubert, D., Wood, K., & Urh, M. (2013) · Analytical Chemistry · doi:10.1021/ac302423t · Cited by 62 · see citing works
de Tombe, P. P., & Solaro, R. J. (2000) · Annals of Biomedical Engineering · doi:10.1114/1.1312189 · Cited by 61 · see citing works
Sawyer, W. S., Srikumar, N., Carver, J., Chu, P. Y., Shen, A., Xu, A., Williams, A. J., Spiess, C., Wu, C., Liu, Y., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1917383117 · Cited by 55 · see citing works
Sequencing Larger Intact Proteins (30–70 kDa) with Activated Ion Electron Transfer Dissociation
Riley, N., Westphall, M., & Coon, J. (2017) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-017-1808-7 · Cited by 55 · see citing works
Identification of Ultramodified Proteins Using Top-Down Tandem Mass Spectra
Liu, X., Hengel, S. M., Wu, S., Tolić, N., Paša‐Tolić, L., & Pevzner, P. A. (2013) · Journal of Proteome Research · doi:10.1021/pr400849y · Cited by 54 · see citing works
Gargano, A. F. G., Shaw, J. B., Zhou, M., Wilkins, C. S., Fillmore, T. L., Moore, R. J., Somsen, G. W., & Paša-Tolić, L. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00458 · Cited by 53 · see citing works
Capillary HILIC-MS: A New Tool for Sensitive Top-Down Proteomics
Gargano, A. F. G., Roca, L. S., Fellers, R. T., Bocxe, M., Domínguez-Vega, E., & Somsen, G. W. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b00382 · Cited by 52 · see citing works
Native vs Denatured: An in Depth Investigation of Charge State and Isotope Distributions
Kafader, J. O., Melani, R. D., Schachner, L. F., Ives, A. N., Patrie, S. M., Kelleher, N. L., & Compton, P. D. (2020) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.9b00040 · Cited by 51 · see citing works
Expanding the mass range for UVPD-based native top-down mass spectrometry
Greisch, J.-F., Tamara, S., Scheltema, R. A., Maxwell, H. W. R., Fagerlund, R. D., Fineran, P. C., Tetter, S., Hilvert, D., & Heck, A. J. R. (2019) · Chemical Science · doi:10.1039/c9sc01857c · Cited by 47 · see citing works
Wei, L., Gregorich, Z. R., Lin, Z., Cai, W., Jin, Y., McKiernan, S. H., McIlwain, S., Aiken, J. M., Moss, R. L., Diffee, G. M., et al. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra117.000124 · Cited by 47 · see citing works
Self-citationZenaidee, M. A., Lantz, C., Perkins, T., Fu, J., Jung, W., Loo, J. A., & Loo, J. A. (2020) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.0c00160 · Cited by 47 · see citing works
Gomes, F. P., Diedrich, J. K., Saviola, A. J., Memili, E., Moura, A. A., & Yates, J. R. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b03856 · Cited by 46 · see citing works
Fert-Bober, J., Murray, C. I., Parker, S. J., & Van Eyk, J. E. (2018) · Circulation Research · doi:10.1161/circresaha.118.310966 · Cited by 45 · see citing works
Proteoform Suite: Software for Constructing, Quantifying, and Visualizing Proteoform Families
Cesnik, A. J., Shortreed, M. R., Schaffer, L. V., Knoener, R. A., Frey, B. L., Scalf, M., Solntsev, S. K., Dai, Y., Gasch, A. P., & Smith, L. M. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00685 · Cited by 45 · see citing works
High‐Throughput Proteomics Enabled by a Photocleavable Surfactant
Brown, K. A., Tucholski, T., Eken, C., Knott, S. J., Zhu, Y., Jin, S., & Ge, Y. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.201915374 · Cited by 44 · see citing works
Self-citationChen, B., Hwang, L., Ochowicz, W., Lin, Z., Guardado-Alvarez, T. M., Cai, W., Xiu, L., Dani, K., Colah, C., Jin, S., et al. (2017) · Chemical Science · doi:10.1039/c6sc05435h · Cited by 43 · see citing works
Self-citationRiley, N. M., Sikora, J. W., Seckler, H. S., Greer, J. B., Fellers, R. T., LeDuc, R. D., Westphall, M. S., Thomas, P. M., Kelleher, N. L., & Coon, J. J. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b01638 · Cited by 43 · see citing works
He, L., Rockwood, A. L., Agarwal, A. M., Anderson, L. C., Weisbrod, C. R., Hendrickson, C. L., & Marshall, A. G. (2019) · Clinical Chemistry · doi:10.1373/clinchem.2018.295766 · Cited by 43 · see citing works
REEP5 depletion causes sarco-endoplasmic reticulum vacuolization and cardiac functional defects
Lee, S.-H., Hadipour-Lakmehsari, S., Murthy, H. R., Gibb, N., Miyake, T., Teng, A. C. T., Cosme, J., Yu, J. C., Moon, M., Lim, S., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14143-9 · Cited by 42 · see citing works
Mikhailov, V. A., Griffiths, R. L., & Cooper, H. J. (2017) · International Journal of Mass Spectrometry · doi:10.1016/j.ijms.2016.09.011 · Cited by 41 · see citing works
Yu, D., Wang, Z., Cupp-Sutton, K. A., Liu, X., & Wu, S. (2019) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-019-02315-2 · Cited by 39 · see citing works
The benefits (and misfortunes) of SDS in top-down proteomics
Kachuk, C., & Doucette, A. A. (2018) · Journal of Proteomics · doi:10.1016/j.jprot.2017.03.002 · Cited by 39 · see citing works
Muneeruddin, K., Bobst, C. E., Frenkel, R., Houde, D., Turyan, I., Sosic, Z., & Kaltashov, I. A. (2017) · The Analyst · doi:10.1039/c6an02041k · Cited by 38 · cited 1× · see citing works
“Similarly, ion-exchange chromatography (IEX)-MS has been used to characterize protein conjugates [78,79].”
MethodTop-Down LESA Mass Spectrometry Protein Analysis of Gram-Positive and Gram-Negative Bacteria
Kocurek, K. I., Stones, L., Bunch, J., May, R. C., & Cooper, H. J. (2017) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-017-1718-8 · Cited by 37 · cited 1× · see citing works
“Another emerging technique is liquid extraction surface analysis (LESA), which directly sampling proteins from a solid surface for analysis of protein and protein complexes [94,95].”
BackgroundProteins and Proteoforms: New Separation Challenges
Regnier, F. E., & Kim, J. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.7b05007 · Cited by 36 · see citing works
The continuing evolution of cardiac troponin I biomarker analysis: from protein to proteoform
Soetkamp, D., Raedschelders, K., Mastali, M., Sobhani, K., Bairey Merz, C. N., & Van Eyk, J. (2017) · Expert Review of Proteomics · doi:10.1080/14789450.2017.1387054 · Cited by 36 · see citing works
Baghdady, Y. Z., & Schug, K. A. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.9b01665 · Cited by 36 · see citing works
Liang, Y., Jin, Y., Wu, Z., Tucholski, T., Brown, K. A., Zhang, L., Zhang, Y., & Ge, Y. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.8b05817 · Cited by 33 · see citing works
Self-citationRoberts, D. S., Chen, B., Tiambeng, T. N., Wu, Z., Ge, Y., & Jin, S. (2019) · Nano Research · doi:10.1007/s12274-019-2418-4 · Cited by 33 · see citing works
Self-citationEffective Top-Down LC/MS+ Method for Assessing Actin Isoforms as a Potential Cardiac Disease Marker
Chen, Y.-C., Ayaz-Guner, S., Peng, Y., Lane, N. M., Locher, M. R., Kohmoto, T., Larsson, L., Moss, R. L., & Ge, Y. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b01745 · Cited by 31 · see citing works
Self-citationExtending the Isotopically Resolved Mass Range of Orbitrap Mass Spectrometers
Shaw, J. B., & Brodbelt, J. S. (2013) · Analytical Chemistry · doi:10.1021/ac401634b · Cited by 28 · see citing works
Kellie, J. F., Tran, J. C., Jian, W., Jones, B. R., Mehl, J. T., Ge, Y., Henion, J. D., & Bateman, K. P. (2020) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.0c00270 · Cited by 28 · see citing works
Self-citationMcIlwain, S. J., Wu, Z., Wetzel, M., Belongia, D., Jin, Y., Wenger, K., Ong, I. M., & Ge, Y. (2020) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.0c00035 · Cited by 27 · see citing works
Self-citationCrittenden, C. M., Novelli, E. T., Mehaffey, M. R., Xu, G. N., Giles, D. H., Fies, W. A., Dalby, K. N., Webb, L. J., & Brodbelt, J. S. (2020) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.0c00066 · Cited by 24 · see citing works
Simone, P., Pierri, G., Foglia, P., Gasparrini, F., Mazzoccanti, G., Capriotti, A. L., Ursini, O., Ciogli, A., & Laganà, A. (2016) · Journal of Separation Science · doi:10.1002/jssc.201500844 · Cited by 24 · see citing works
Larson, E. J., Zhu, Y., Wu, Z., Chen, B., Zhang, Z., Zhou, S., Han, L., Zhang, Q., & Ge, Y. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c03152 · Cited by 21 · see citing works
Self-citationMelby, J. A., Jin, Y., Lin, Z., Tucholski, T., Wu, Z., Gregorich, Z. R., Diffee, G. M., & Ge, Y. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.9b00623 · Cited by 20 · see citing works
Self-citationFragile epitopes—Antibody’s guess is as good as yours
Janes, K. A. (2020) · Science Signaling · doi:10.1126/scisignal.aaz8130 · Cited by 16 · see citing works
Comprehensive Characterization of Swine Cardiac Troponin T Proteoforms by Top-down Mass Spectrometry
Lin, Z.-Q., Guo, F., Gregorich, Z., Sun, R.-X., Zhang, H., Hu, Y., Shanmuganayagam, D., & Ge, Y. (2018) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-018-1925-y · Cited by 15 · see citing works
Self-citationHigh‐Throughput Proteomics Enabled by a Photocleavable Surfactant
Brown, K. A., Tucholski, T., Eken, C., Knott, S., Zhu, Y., Jin, S., & Ge, Y. (2020) · Angewandte Chemie · doi:10.1002/ange.201915374 · Cited by 14 · see citing works
Self-citationWu, Z., Jin, Y., Chen, B., Gugger, M. K., Wilkinson-Johnson, C. L., Tiambeng, T. N., Jin, S., & Ge, Y. (2019) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-019-02341-0 · Cited by 13 · see citing works
Self-citationLi, W., Srikumar, N., Forrest, W. F., Ellerman, D. A., Gu, C., Tchelepi, R., Lazar, G. A., Liu, Y., & Tran, J. C. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b05739 · Cited by 12 · see citing works
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- 10.1080/14789450.2016.1209414 · DOI · Paper page
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Roberts, D. S., Loo, J. A., Tsybin, Y. O., Liu, X., Wu, S., Chamot-Rooke, J., Agar, J. N., Paša-Tolić, L., Smith, L. M., & Ge, Y. (2024) · Nature Reviews Methods Primers · doi:10.1038/s43586-024-00318-2 · Cited by 154 · see citing works
Self-citationTop-Down Proteomics and the Challenges of True Proteoform Characterization
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Lee, H. J., Lee, H. S., Youn, T., Byrne, B., & Chae, P. S. (2022) · Chem · doi:10.1016/j.chempr.2022.02.007 · Cited by 96 · see citing works
Dowling, P., Gargan, S., Swandulla, D., & Ohlendieck, K. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032415 · Cited by 95 · see citing works
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Roberts, D. S., Mann, M. W., Melby, J. A., Larson, E. J., Zhu, Y., Brasier, A. R., Jin, S., & Ge, Y. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.1c02713 · Cited by 73 · see citing works
Self-citationHigh sensitivity top–down proteomics captures single muscle cell heterogeneity in large proteoforms
Melby, J. A., Brown, K. A., Gregorich, Z., Roberts, D. S., Chapman, E. A., Ehlers, L. E., Gao, Z., Larson, E. J., Jin, Y., Lopez, J., et al. (2023) · bioRxiv · doi:10.1073/pnas.2222081120 · Cited by 63 · see citing works
Self-citationToward single-molecule protein sequencing using nanopores
Lu, C., Bonini, A., Viel, J. H., & Maglia, G. (2025) · Nature Biotechnology · doi:10.1038/s41587-025-02587-y · Cited by 68 · see citing works
Liu, R., Xia, S., & Li, H. (2022) · Mass Spectrometry Reviews · doi:10.1002/mas.21793 · Cited by 59 · see citing works
TopFD: A Proteoform Feature Detection Tool for Top–Down Proteomics
Basharat, A. R., Zang, Y., Sun, L., & Liu, X. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.2c05244 · Cited by 60 · see citing works
Critical considerations in N-glycoproteomics
Chau, T. H., Chernykh, A., Kawahara, R., & Thaysen‐Andersen, M. (2023) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2023.102272 · Cited by 57 · see citing works
Recent advances in top‐down proteome sample processing ahead of MS analysis
Nickerson, J. L., Baghalabadi, V., Rajendran, S. R. C. K., Jakubec, P. J., Said, H., McMillen, T. S., Dang, Z., & Doucette, A. A. (2021) · Mass Spectrometry Reviews · doi:10.1002/mas.21706 · Cited by 55 · see citing works
Proteomics in the pharmaceutical and biotechnology industry: a look to the next decade
Lill, J. R., Mathews, W. R., Rose, C. M., & Schirle, M. (2021) · Expert Review of Proteomics · doi:10.1080/14789450.2021.1962300 · Cited by 54 · see citing works
Xu, T., Wang, Q., Wang, Q., & Sun, L. (2024) · Analytical Methods · doi:10.1039/d4ay00651h · Cited by 53 · see citing works
Food allergen detection by mass spectrometry: From common to novel protein ingredients
Bianco, M., Ventura, G., Calvano, C. D., Losito, I., & Cataldi, T. R. I. (2023) · PROTEOMICS · doi:10.1002/pmic.202200427 · Cited by 49 · see citing works
Top-down mass spectrometry of native proteoforms and their complexes: a community study
Habeck, T., Brown, K. A., Soye, B. J. D., Lantz, C., Zhou, M., Alam, N., Hossain, M. A., Jung, W., Keener, J. E., Volný, M., et al. (2024) · Nature Methods · doi:10.1038/s41592-024-02279-6 · Cited by 49 · see citing works
Self-citationCollision energies: Optimization strategies for bottom‐up proteomics
Révész, Á., Hevér, H., Steckel, A., Schlosser, G., Szabo, D. A., Vékey, K., & Drahos, L. (2021) · Mass Spectrometry Reviews · doi:10.1002/mas.21763 · Cited by 41 · see citing works
Štěpánová, S., & Kašička, V. (2023) · Journal of Separation Science · doi:10.1002/jssc.202300043 · Cited by 40 · see citing works
Native top-down proteomics enables discovery in endocrine resistant breast cancer
Gomes, F. P., Durbin, K. R., Schauer, K. L., Nwachukwu, J., Kobylski, R. R., Njeri, J., Seath, C. P., Saviola, A. J., McClatchy, D. B., Diedrich, J. K., et al. (2025) · Nature Chemical Biology · doi:10.1038/s41589-025-01866-8 · Cited by 34 · see citing works
The application of proteomics in muscle exercise physiology
Hesketh, S. J., Stansfield, B. N., Stead, C. A., & Burniston, J. G. (2020) · Expert Review of Proteomics · doi:10.1080/14789450.2020.1879647 · Cited by 35 · see citing works
Kline, J. T., Belford, M., Boeser, C. L., Huguet, R., Fellers, R. T., Greer, J. B., Greer, S. M., Horn, D., Durbin, K. R., Dunyach, J.-J., et al. (2023) · Journal of Proteome Research · doi:10.1021/acs.jproteome.3c00488 · Cited by 27 · see citing works
Zhao, Z.-T., Guo, Y., Chowdhury, T., Anjum, S., Li, J.-X., Huang, L.-S., Cupp-Sutton, K. A., Burgett, A. W. G., Shi, D.-J., & Wu, S. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c01119 · Cited by 24 · see citing works
Roberts, D. S., Mann, M. W., Li, B. H., Kim, D., Braiser, A. R., Jin, S., & Ge, Y. (2022) · Chemical Science · doi:10.1039/d2sc02132c · Cited by 29 · see citing works
Self-citationMass Spectrometry Strategies for O-Glycoproteomics
Helms, A., & Brodbelt, J. S. (2024) · Cells · doi:10.3390/cells13050394 · Cited by 28 · see citing works
Emerging chemistry and biology in protein glutathionylation
Kukulage, D. S. K., Don, N. N. J. M., & Ahn, Y. (2022) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2022.102221 · Cited by 29 · see citing works
Multidimensional separations in top–down proteomics
Guo, Y., Cupp‐Sutton, K. A., Zhao, Z., Anjum, S., & Wu, S. (2023) · Analytical Science Advances · doi:10.1002/ansa.202300016 · Cited by 27 · see citing works
Sadeghi, S. A., Chen, W., Wang, Q., Wang, Q., Fang, F., Liu, X., & Sun, L. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.3c00872 · Cited by 25 · see citing works
Bondt, A., Dingess, K. A., Hoek, M., van Rijswijck, D. M. H., & Heck, A. J. R. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.789748 · Cited by 24 · see citing works
The ubiquitin proteoform problem
Deol, K. K., & Strieter, E. R. (2021) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2021.02.015 · Cited by 22 · see citing works
Tabang, D. N., Ford, M., & Li, L. (2021) · Frontiers in Chemistry · doi:10.3389/fchem.2021.707387 · Cited by 23 · see citing works
One-Pot Exosome Proteomics Enabled by a Photocleavable Surfactant
Buck, K. M., Roberts, D. S., Aballo, T. J., Inman, D. R., Jin, S., Ponik, S. M., Brown, K. A., & Ge, Y. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c01252 · Cited by 23 · see citing works
Self-citationJeong, K., Babović, M., Gorshkov, V., Kim, J., Jensen, O. N., & Kohlbacher, O. (2022) · Nature Communications · doi:10.1038/s41467-022-31922-z · Cited by 23 · see citing works
Sung, C. H., Hao, T., Fang, H., Nguyen, A. T., Perricone, V., Yu, H., Huang, W., Sarmiento, E., Ornelas, A. F. D., Lublin, D., et al. (2025) · Advanced Materials · doi:10.1002/adma.202509281 · Cited by 21 · see citing works
Decoding alternative splicing: A key player in plant biotic stress resistance
Zhu, J., Guo, W., Chen, J., & Sun, Z. (2025) · Journal of Integrative Plant Biology · doi:10.1111/jipb.13951 · Cited by 18 · see citing works
Exploring the unmapped cysteine redox proteoform landscape
Cobley, J. N. (2024) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00152.2024 · Cited by 18 · see citing works
Chowdhury, T., Cupp-Sutton, K. A., Guo, Y., Gao, K., Zhao, Z.-T., Burgett, A. W. G., & Wu, S. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00778 · Cited by 18 · see citing works
PEPPI-MS: gel-based sample pre-fractionation for deep top-down and middle-down proteomics
Takemori, A., Kaulich, P. T., Tholey, A., & Takemori, N. (2025) · Nature Protocols · doi:10.1038/s41596-024-01100-0 · Cited by 17 · see citing works
Wang, C., Liang, Y.-H., Zhao, B.-F., Liang, Z., Zhang, L., & Zhang, Y.-K. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.1c05234 · Cited by 12 · see citing works
Bayne, E. F., Rossler, K. J., Gregorich, Z., Aballo, T. J., Roberts, D. S., Chapman, E. A., Guo, W., Palecek, S., Ralphe, J., Kamp, T., et al. (2023) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2023.06.003 · Cited by 14 · see citing works
Self-citationSearfoss, R. M., Zahn, E., Lin, Z.-T., & Garcia, B. A. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00874 · Cited by 17 · see citing works
Chromatographic separation of peptides and proteins for characterization of proteomes
Liang, Y., Zhang, L., & Zhang, Y. (2022) · Chemical Communications · doi:10.1039/d2cc05568f · Cited by 15 · see citing works
Greenness of proteomic sample preparation and analysis techniques for biopharmaceuticals
Maráková, K., Tomašovský, R., Opetová, M., & Schug, K. A. (2023) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2023.117490 · Cited by 15 · see citing works
Kumar, N. H., Kluever, V., Barth, E., Krautwurst, S., Furlan, M., Pelizzola, M., Marz, M., & Fornasiero, E. F. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae172 · Cited by 14 · see citing works
A Nonionic, Cleavable Surfactant for Top-down Proteomics
Brown, K. A., Gugger, M. K., Yu, Z., Moreno, D., Jin, S., & Ge, Y. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.2c03916 · Cited by 15 · see citing works
Self-citationRahali, M. A., Lakis, R., Sauvage, F., Pinault, É., Marquet, P., Saint‐Marcoux, F., & Balkhi, S. E. (2023) · Journal of Chromatography B · doi:10.1016/j.jchromb.2023.123740 · Cited by 14 · see citing works
Berthias, F., Bilgin, N., Mecinović, J., & Jensen, O. N. (2024) · PROTEOMICS · doi:10.1002/pmic.202200471 · Cited by 13 · see citing works
Spatial -omics technologies: the new enterprise in 3D breast cancer models
Pierantoni, L., Reis, R. L., Silva‐Correia, J., Oliveira, J. M., & Heavey, S. (2023) · Trends in biotechnology · doi:10.1016/j.tibtech.2023.07.003 · Cited by 12 · see citing works
A Universal Spectrum Annotator for Complex Peptidoforms in Mass Spectrometry-Based Proteomics
Schulte, D., Leuvenink, R. W., Jager, S., Heck, A. J. R., & Snijder, J. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c02832 · Cited by 12 · see citing works
Miles, H. N., Delafield, D. G., & Li, L. (2021) · RSC Chemical Biology · doi:10.1039/d1cb00039j · Cited by 12 · see citing works
Identification of Subproteomic Markers for Skeletal Muscle Profiling
Dowling, P., Gargan, S., Swandulla, D., & Ohlendieck, K. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2831-7_20 · Cited by 12 · see citing works
Mass spectrometry based proteomics: Changing the impact of protein analysis in forensic science
Keane, R. E., Tidy, R. J., Parker, G. J., Gummer, J. P. A., & Priddis, C. (2024) · Wiley Interdisciplinary Reviews Forensic Science · doi:10.1002/wfs2.1516 · Cited by 11 · see citing works
Progress in Tandem Mass Spectrometry Data Analysis for Nucleic Acids
Lanzillotti, M. B., & Brodbelt, J. S. (2025) · Mass Spectrometry Reviews · doi:10.1002/mas.21923 · Cited by 11 · see citing works
Abbas, T., Kanwar, F., Tariq, H., & Malik, M. R. (2025) · Indus journal of bioscience research. · doi:10.70749/ijbr.v3i1.507 · Cited by 11 · see citing works
Top-Down Proteomics and Comparative 2D-DIGE Analysis
Ohlendieck, K. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2831-7_2 · Cited by 11 · see citing works
Mass spectrometry-based proteomics for advancing solid organ transplantation research
Huang, C.-F., Su, P., Fisher, T. D., Levitsky, J., Kelleher, N. L., & Forte, E. (2023) · Frontiers in Transplantation · doi:10.3389/frtra.2023.1286881 · Cited by 8 · see citing works
Wang, C. R., Harlington, A. C., Snel, M. F., & Pukala, T. L. (2023) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2023.140992 · Cited by 10 · see citing works
A Conformation-Specific Approach to Native Top-down Mass Spectrometry
Britt, H. M., Ben-Younis, A., Page, N., & Thalassinos, K. (2024) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.4c00361 · Cited by 10 · see citing works
Brown, K. A., Morris, R. K., Eckhardt, S. J., Ge, Y., & Gellman, S. H. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.3c09078 · Cited by 10 · see citing works
Self-citationArad, M., Frey, C., Balagtas, R., Hare, R., Ku, K., Jereb, D., Nestman, Z., Sidhu, A., Shi, Y., Fordwour, O. B., et al. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c04846 · Cited by 9 · see citing works
Wang, C. R., McFarlane, L. O., & Pukala, T. (2024) · Toxicon · doi:10.1016/j.toxicon.2024.107841 · Cited by 7 · see citing works
Ni, W., Jagust, W. J., & Wang, D. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00424 · Cited by 9 · see citing works
Size Exclusion Chromatography Strategies and MASH Explorer for Large Proteoform Characterization
Tiambeng, T. N., Wu, Z., Melby, J. A., & Ge, Y. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2325-1_3 · Cited by 10 · see citing works
Self-citationLuo, R. Y., Pfaffroth, C., Yang, S., Hoang, K., Yeung, P. S.-W., Zehnder, J. L., & Shi, R. (2023) · Scientific Reports · doi:10.1038/s41598-023-42064-7 · Cited by 9 · see citing works
Lieu, L. B., Hinkle, J. D., Syka, J. E., & Fornelli, L. (2024) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.4c00391 · Cited by 8 · see citing works
Liu, H., Huang, S., Yang, L., He, Y., Jing, Y., Xie, Y., Hu, B., Li, Z., Bi, H., & Li, Z. (2025) · Talanta · doi:10.1016/j.talanta.2025.128611 · Cited by 8 · see citing works
How can we use proteomics to learn more about platelets?
Aslan, J. E. (2023) · Platelets · doi:10.1080/09537104.2023.2217932 · Cited by 8 · see citing works
Fulcher, J. M., Swensen, A., Chen, Y., Verchere, C. B., Petyuk, V., & Qian, W. (2023) · Endocrinology · doi:10.1210/endocr/bqad160 · Cited by 8 · see citing works
Use of dried blood spots for monitoring inflammatory and nutritional biomarkers in the elderly
Vialaret, J., Vignon, M., Hirtz, C., Badiou, S., Baptista, G., Fichter, L., Dupuy, A., Maceski, A. M., Fayolle, M., Brousse, M., et al. (2023) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2023-0312 · Cited by 8 · see citing works
Absolute quantification of proteins using element mass spectrometry and generic standards
Nosti, A. J., Cid-Barrio, L., Calderón‐Celis, F., Soldado, A., & Encinar, J. R. (2022) · Journal of Proteomics · doi:10.1016/j.jprot.2022.104499 · Cited by 8 · see citing works
Cline, E. N., Alvarez, C., Duan, J., & Patrie, S. M. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c00396 · Cited by 8 · see citing works
Brown, K. A., Anderson, C., Reilly, L., Sondhi, K., Ge, Y., & Eckhardt, L. (2021) · Biochemistry · doi:10.1021/acs.biochem.1c00555 · Cited by 7 · see citing works
Self-citationAthira Raj, T., Aravind, G. B., Arun, M., & Aneesh, E. M. (2025) · Egyptian Journal of Forensic Sciences · doi:10.1186/s41935-025-00484-8 · Cited by 7 · see citing works
Post‐translational Modifications in Proteins: Prediction Methods, Biological Functions, and Diseases
Zhang, S., li, J., Chen, M., & Huang, H. (2026) · MedComm · doi:10.1002/mco2.70729 · Cited by 7 · see citing works
TopDIA: A Software Tool for Top-Down Data-Independent Acquisition Proteomics
Basharat, A. R., Xiong, X., Xu, T., Zang, Y., Sun, L., & Liu, X. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00293 · Cited by 8 · see citing works
Wilson, M. C., Josvai, M., Walters, J. K., Lawson, J., Rossler, K. J., Gao, Z., Zhu, Y.-L., Kamp, T. J., Crone, W., Eckhardt, L. L., et al. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5c00505 · Cited by 5 · see citing works
Self-citationApplications of high performance liquid chromatography-mass spectrometry in proteomics
Wei, L. I. U., Weng, L., Gao, M., & Zhang, X. (2024) · Chinese Journal of Chromatography · doi:10.3724/sp.j.1123.2023.11006 · Cited by 6 · see citing works
Ni, Z., & Arévalo, R. (2024) · Rapid Communications in Mass Spectrometry · doi:10.1002/rcm.9887 · Cited by 6 · see citing works
FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics
Kim, J., Jeong, K., Kaulich, P. T., Winkels, K., Tholey, A., & Kohlbacher, O. (2023) · bioRxiv · doi:10.1021/acs.analchem.4c03117 · Cited by 5 · see citing works
Unravelling disease complexity: integrative analysis of multi-omic data in clinical research
Cominetti, O., & Dayon, L. (2025) · Expert Review of Proteomics · doi:10.1080/14789450.2025.2491357 · Cited by 6 · see citing works
Bashyal, A., Dunham, S. D., & Brodbelt, J. S. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.3c02618 · Cited by 5 · see citing works
A Narrative Review of the Role of S-Glutathionylation in Bacteria
Federici, L., Masulli, M., Laurenzi, V. D., & Allocati, N. (2025) · Microorganisms · doi:10.3390/microorganisms13030527 · Cited by 5 · see citing works
Selective Comprehensive Online NanoLCxCZE-MS Platform for Top-Down Proteoform Analysis
Waldmann, T., Kaulich, P. T., Stolz, A., Tholey, A., & Neusüß, C. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c03469 · Cited by 4 · see citing works
Ayon, N. J. (2025) · AppliedChem · doi:10.3390/appliedchem5040035 · Cited by 5 · see citing works
Gao, Z., Rossler, K. J., Rogers, H. T., Gregorich, Z. R., Aballo, T. J., Chapman, E. A., Price, S. J., Hermsen, J. L., de Lange, W. J., Zhu, Y., et al. (2025) · Circulation Heart Failure · doi:10.1161/circheartfailure.125.012899 · Cited by 6 · see citing works
Self-citationFull Window Data-Independent Acquisition Method for Deeper Top-Down Proteomics.
Sun, C., Zhang, W., Zhou, M.-W., Myu, M., & Xu, W. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.4c06471 · Cited by 4 · see citing works
Accurate Proteoform Identification and Quantitation Using pTop 2.0
Sun, R.-X., Wang, R., Luo, L. E., Liu, C., Chi, H., Zeng, W., & He, S. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2325-1_9 · Cited by 6 · see citing works
The World of Protein Interactions
Eyk, J. E. V. (2021) · Circulation Research · doi:10.1161/circresaha.121.318922 · Cited by 5 · see citing works
Dollar, A. N., & Webb, I. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.4c03978 · Cited by 4 · see citing works
Characterization of Cytokine Treatment on Human Pancreatic Islets by Top‐Down Proteomics
Ives, A. N., Sagendorf, T. J., Nierves, L. A., Lin, T.-T., Dirice, E., Kulkarni, R. N., Paša-Tolić, L., Qian, W.-J., & Fulcher, J. (2025) · Proteomics · doi:10.1002/pmic.70044 · Cited by 1 · see citing works
Cupp‐Sutton, K. A., Guo, Y., Welborn, T., & Wu, S. (2025) · Journal of Mass Spectrometry · doi:10.1002/jms.5187 · Cited by 4 · see citing works
Methionine Oxidation Footprinting in Intact Proteins (MOFIP) Using Top‐Down Proteomics
Sunny, A. T., Cupp‐Sutton, K. A., Zhao, Z., Chowdhury, T., Guo, Y., & Wu, S. (2025) · PROTEOMICS · doi:10.1002/pmic.70063 · Cited by 4 · see citing works
Proteomics Studies on Extracellular Vesicles Derived from Glioblastoma: Where Do We Stand?
Giuliani, P., Simone, C. D., Febo, G., Bellasame, A., Tupone, N., Virglio, V. D., Giuseppe, F. D., Ciccarelli, R., Iorio, P. D., & Angelucci, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25189778 · Cited by 4 · see citing works
Fartade, S., Jadav, T., Rajput, N., & Sengupta, P. (2025) · Archiv der Pharmazie · doi:10.1002/ardp.202400911 · Cited by 3 · see citing works
Wilson, M. C., Gao, Z., Lopez, J., Zhu, Y.-L., Olszewski, S. S., Konopka, A., Diffee, G., & Ge, Y. (2026) · Journal of Mass Spectrometry · doi:10.1002/jms.70040 · Cited by 1 · see citing works
Self-citationYue, Y.-F., Fang, F., Gao, G., Sadeghi, S., Colón-Rosado, J. A., Nimavard, R. T., Askarani, M. F., Thorp, L., Dashtaki, M. R., Zhu, G., et al. (2026) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5c01194 · Cited by 2 · see citing works
Exploiting ion‐mobility mass spectrometry for unraveling proteome complexity
Perchepied, S., Zhou, Z., Mitulović, G., & Eeltink, S. (2023) · Journal of Separation Science · doi:10.1002/jssc.202300512 · Cited by 3 · see citing works
- Authors
- Brown, K. A., Melby, J. A., Roberts, D. S., & Ge, Y.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Brown, Kyle A.
- Ge, Ying
- Venue
- Expert Review of Proteomics
- Publisher
- Informa UK Limited
- Published
- 2020-10-02
- Volume
- 17
- Issue
- 10
- Pages
- 719-733
- ISSN
- 1478-9450 (ISSN-L)
- 1744-8387
- PMC
- PMC7864889
- OpenAlex
- W3106602244
- Cited by
- 152
- References
- 163
- Citations by year
- 2026: 23 · 2025: 37 · 2024: 28 · 2023: 26 · 2022: 19 · 2021: 18 · 2020: 1
- FWCI
- 6.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Expert Review of Proteomics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Foundation for the National Institutes of Health
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- top-down proteomics, proteoforms, protein isoforms, post-translational modification, alternative splicing, heart disease, precision medicine, sample preparation, intact protein separation
- MeSH terms
- Heart Diseases, Humans, Protein Processing, Post-Translational, Proteomics, Tandem Mass Spectrometry
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