Cell type- and brain region-resolved mouse brain proteome
Open accessAbstract
Brain transcriptome and connectome maps are being generated, but an equivalent effort on the proteome is currently lacking. We performed high-resolution mass spectrometry-based proteomics for in-depth analysis of the mouse brain and its major brain regions and cell types. Comparisons of the 12,934 identified proteins in oligodendrocytes, astrocytes, microglia and cortical neurons with deep sequencing data of the transcriptome indicated deep coverage of the proteome. Cell type-specific proteins defined as tenfold more abundant than average expression represented about a tenth of the proteome, with an overrepresentation of cell surface proteins. To demonstrate the utility of our resource, we focused on this class of proteins and identified Lsamp, an adhesion molecule of the IgLON family, as a negative regulator of myelination. Our findings provide a framework for a system-level understanding of cell-type diversity in the CNS and serves as a rich resource for analyses of brain development and function.
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31 of 48 cited sources checked · 13 supported · 0 flagged · accuracy not yet measured
- Premisecitation
High-resolution mass spectrometry technologies now allow in-depth coverage of nearly complete proteomes of mammalian cells.
“this situation has changed with the development of more sensitive and powerful high-resolution mass spectrometry (MS) technologies that allow in-depth coverage of nearly complete proteomes of mammalian cells 13–17.”
Quote in the paperSubstantial claim2 of 5 sources checked- cites [13] Beck, M., Claassen, M. & Aebersold, R. Comprehensive proteomics. Curr. Opin. Biotechnol. 22, 3–8 (2011). source
- cites [14] Mann, M., Kulak, N.A., Nagaraj, N. & Cox, J. The coming age of complete, accurate, and ubiquitous proteomes. Mol. Cell 49, 583–590 (2013). source
- cites [15] Nagaraj, N. et al. Deep proteome and transcriptome mapping of a human cancer cell line. Mol. Syst. Biol. 7, 548 (2011). source
- cites [16] Wilhelm, M. et al. Mass-spectrometry-based draft of the human proteome. Nature 509, 582–587 (2014). source
- cites [17] Kim, M.S. et al. A draft map of the human proteome. Nature 509, 575–581 (2014). source
The Abstract and Discussion report that high-resolution mass spectrometry identified proteins corresponding to about 84% of human protein-coding genes, supporting in-depth coverage of the human proteome. But that coverage was pooled across 30 tissue and cell types; the Discussion describes sampling individual cell types more extensively as future work. The paper therefore does not establish nearly complete coverage of individual mammalian-cell proteomes. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
A concerted effort to resolve the brain proteome is missing.
“Thus, protein expression analyses are required, but a concerted effort to resolve the brain proteome is missing12.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Kitchen, R.R., Rozowsky, J.S., Gerstein, M.B. & Nairn, A.C. Decoding neuroproteomics: integrating the genome, translatome and functional anatomy. Nat. Neurosci. 17, 1491–1499 (2014). source
In “Improving the compatibility of proteomics with functional genomics” (page unavailable), the paper says brain-wide protein-localisation and abundance data are far less mature than RNA data and calls for a large-scale quantitative resource. That supports a gap in resolving the brain proteome, but not the stronger assertion that a concerted effort is missing: the same section names the HUPO Brain Proteome Project, and “Challenges in assessing the proteome(s) of the CNS” describes existing studies. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Findingown data
After excluding low-abundance transcripts, the number of genes was reduced to 12,933.
“When we excluded these transcripts from our analysis, a standard procedure in RNA-Seq analysis28, the number of genes was reduced to 12,933 (Fig. 1f).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [28] Hebenstreit, D. et al. RNA sequencing reveals two major classes of gene expression levels in metazoan cells. Mol. Syst. Biol. 7, 497 (2011). source
The citation is attached to the description of excluding low-abundance transcripts as a standard RNA-seq procedure, not to the citing authors’ count of 12,933 genes. The Results and discussion section describes detection limits at low expression levels, but the passages found do not say that excluding those transcripts is standard practice (searched for filtering and exclusion of low-expression genes). (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Premisecitation
iBAQ values yield protein copy number estimates of each protein in the proteome.
“These iBAQ values yield protein copy number estimates of each protein in the proteome33.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [33] Wiśśniewski, J.R. et al. Extensive quantitative remodeling of the proteome between normal colon tissue and adenocarcinoma. Mol. Syst. Biol. 8, 611 (2012). source
The Results section (“Estimation of absolute copy number of proteins”; page unavailable) says the paper estimates protein copy numbers using LFQ intensities and the total protein approach (TPA). It reports that iBAQ gave similar values in a validation calculation, but does not say that iBAQ values themselves yield copy-number estimates for each protein in the proteome. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationreasoning
The data indicate great depth of coverage of the proteome of glia and neurons.
“Taken together with previous estimates of the size of cellular proteomes14,15,29, our data indicate that we have achieved a great depth of coverage of the proteome of glia and neurons.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [14] Mann, M., Kulak, N.A., Nagaraj, N. & Cox, J. The coming age of complete, accurate, and ubiquitous proteomes. Mol. Cell 49, 583–590 (2013). source
- cites [15] Nagaraj, N. et al. Deep proteome and transcriptome mapping of a human cancer cell line. Mol. Syst. Biol. 7, 548 (2011). source
- cites [29] Beck, M. et al. The quantitative proteome of a human cell line. Mol. Syst. Biol. 7, 549 (2011). source
- Premisecitation
Proteins of the IgLON family promote cell-to-cell adhesion by homo- and heterophilic interactions.
“Given that proteins of the IgLON family promote cell-to-cell adhesion by homo- and heterophilic interactions40,41, they represent ideal candidates for axon and oligodendrocyte interaction.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [40] Reed, J., McNamee, C., Rackstraw, S., Jenkins, J. & Moss, D. Diglons are heterodimeric proteins composed of IgLON subunits, and Diglon-CO inhibits neurite outgrowth from cerebellar granule cells. J. Cell Sci. 117, 3961–3973 (2004). source
- cites [41] Gil, O.D., Zanazzi, G., Struyk, A.F. & Salzer, J.L. Neurotrimin mediates bifunctional effects on neurite outgrowth via homophilic and heterophilic interactions. J. Neurosci. 18, 9312–9325 (1998). source
In “Ntm forms homomeric complexes: potential role in promoting adhesion” (page unavailable), the paper concludes that IgLON family members promote homophilic adhesion. It also suggests heterophilic interactions in neurite outgrowth, but does not establish that those interactions promote cell-to-cell adhesion. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Data from several large-scale, high-resolution, FDR-controlled cellular proteome projects show coverage saturating at approximately 11,000.
“This analysis is supported by data from several large scale, high-resolution, FDR-controlled cellular proteome projects, where the coverage saturated at approximately 11,000 (refs. 15,18,45,46).”
Quote in the paperSubstantial claim3 of 4 sources checked- cites [15] Nagaraj, N. et al. Deep proteome and transcriptome mapping of a human cancer cell line. Mol. Syst. Biol. 7, 548 (2011). source
The Results and discussion (page unavailable) describe a high-resolution, FDR-controlled HeLa proteome project that identified 10,255 proteins and estimate that 10,000–12,000 genes are expressed in HeLa cells. This supports coverage in the approximate range claimed, but the paper calls its protein count a lower bound and does not show that coverage saturated at approximately 11,000. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [18] Geiger, T., Wehner, A., Schaab, C., Cox, J. & Mann, M. Comparative proteomic analysis of eleven common cell lines reveals ubiquitous but varying expression of most proteins. Mol. Cell Proteomics 11, M111.014050 (2012). source
The Results (page unavailable) report a high-resolution analysis of eleven cell lines with a 1% peptide and protein FDR, identifying more than 10,000 proteins per cell line and 11,731 protein groups across the combined analysis. That supports coverage on the order of 11,000, but the paper does not establish that coverage saturated at that level. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [45] Moghaddas Gholami, A. et al. Global proteome analysis of the NCI-60 cell line panel. Cell Rep. 4, 609–620 (2013). source
The NCI-60 proteome analysis (Figure 1, p. 2) identifies 10,350 distinct proteins, approximately 11,000, and Protein Identification and Quantification (p. 10) specifies a maximum 1% false discovery rate. The paper does not show that coverage saturated at that level; its total is a measured yield, not an established saturation point. It is one of several projects cited by the sentence, so it need not itself report results from several projects. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [46] Azimifar, S.B., Nagaraj, N., Cox, J. & Mann, M. Cell type–resolved quantitative proteomics of murine liver. Cell Metab. 20, 1076–1087 (2014). source
- Findingcitation
The optimized single-shot analysis detected more than 11,500 different proteins in only 4-h replicate analysis.
“We further optimized this technology by extending our single-shot analysis27, which resulted in the detection of more than 11,500 different proteins in only 4-h replicate analysis.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [27] Nagaraj, N. et al. System-wide perturbation analysis with nearly complete coverage of the yeast proteome by single-shot ultra HPLC runs on a bench top Orbitrap. Mol. Cell Proteomics 11, M111.013722 (2012). source
- Findingown data
Combined analysis of four replicates of 9-week-old whole mouse brains identified 13,214 protein groups.
“Combined analysis of the replicates using MaxQuant software26 and applying a peptide and protein false discovery rate (FDR) of 1% identified 13,214 protein groups (Fig.1a,b and Supplementary Table 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Cox, J. & Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat. Biotechnol. 26, 1367–1372 (2008). source
- Findingown data
In each single-shot analysis of brain regions and developmental time points, more than 11,500 proteins were identified.
“Notably, in each of the single-shot analyses, we identified more than 11,500 proteins.”
Quote in the paperNot a substantial claim - Findingown data
Single-shot analysis of mouse brain lysates detected more than 11,500 different proteins when matched against the deep brain proteome library.
“We detected more than 11,500 different proteins when we matched them against the ‘library’ of the deep brain proteome (Fig. 1c,d).”
Quote in the paperNot a substantial claim - Findingown data
Cell type-specific proteins were over-represented for cell surface proteins.
“Cell type-specific proteins defined as tenfold more abundant than average expression represented about a tenth of the proteome, with an over representation of cell surface proteins.”
Quote in the paperSubstantial claim - Findingown data
Cell type-specific proteins, defined as tenfold more abundant than average expression, represented about a tenth of the proteome.
“Cell type-specific proteins defined as tenfold more abundant than average expression represented about a tenth of the proteome, with an over representation of cell surface proteins.”
Quote in the paperSubstantial claim - Findingown data
Lsamp, an adhesion molecule of the IgLON family, was identified as a negative regulator of myelination.
“we focused on this class of proteins and identified Lsamp, an adhesion molecule of the IgLON family, as a negative regulator of myelination.”
Quote in the paperSubstantial claim - Findingown data
The study identified 12,934 proteins across oligodendrocytes, astrocytes, microglia and cortical neurons.
“Comparisons of the 12,934 identified proteins in oligodendrocytes, astrocytes, microglia and cortical neurons with deep sequencing data of the transcriptome indicated deep coverage of the proteome.”
Quote in the paperSubstantial claim - Findingown data
Cilium assembly was prominently enriched in cultured astrocytes.
“Notably, cilium assembly was prominently enriched in cultured astrocytes (Supplementary Table 8).”
Quote in the paperNot a substantial claim - Findingown data
Cell type-specific transcripts were also significantly enriched for functions related to the cell surface and extracellular space.
“A similar analysis for the RNA-Seq data set revealed that cell type-specific transcripts were also significantly enriched for functionsrelated to the cell surface and extracellular space (Supplementary Table 12).”
Quote in the paperNot a substantial claim - Findingown data
Among the top 40 most abundant and enriched brain proteins were proteins of the myelin sheath, cytoskeleton, synapses, glycolysis and energy pathways.
“Among the top 40 most abundant and enriched ones were proteins of the myelin sheath (Mbp, Plp1 and Cnp), the cytoskeleton (Tuba1b, Actb, Sptan1, Map2, Map1a, Tubb3, Nefl, Map6, Nefh, Gfap), synapses (Dnm1, Syn1, Camk2b, Syt1, Camk2a, Syn2, Bsn, Snap25, Stx1b) and glycolysis, as well as energy pathways (Aldoa, Eno2, Ldhb).”
Quote in the paperNot a substantial claim - Findingown data
Components of the myelin sheath accumulated during oligodendrocyte differentiation.
“We also found accumulation of components of the myelin sheath during oligodendrocyte differentiation.”
Quote in the paperNot a substantial claim - Findingown data
Neuron-specific cellular components such as axon terminus, axons, synaptosome, and neuronal projection were enriched.
“Among the cellular components, a range of neuron-specific components such as axon terminus, axons, synaptosome, and neuronal projection were enriched.”
Quote in the paperNot a substantial claim - Findingown data
In each acutely isolated cell replicate, more than 11,500 proteins were identified and quantified.
“We achieved highly purified populations of cells with mean purity in excess of 95% in all three biological replicates (Supplementary Fig. 1), in each of which we identified and quantified more than 11,500 proteins (Fig. 1d and Supplementary Tables 2 and 13).”
Quote in the paperSubstantial claim - Findingown data
Oligodendrocyte-specific proteins included proteins with functions in extracellular matrix, cytoskeleton and vesicular trafficking.
“In oligodendrocytes, several of these proteins had functions related to the extracelluar matrix (Col11a1, Col1a1, Leprl1, Bgn, Plod2), the cytoskeleton (Afap1l2, Tagln, Kank1, Rtkn, Tns3) and vesicular trafficking (Dnm3, Rtkn).”
Quote in the paperNot a substantial claim - Findingown data
Processes related to cGMP metabolism and semaphorin receptor activity were more abundant in cortical neurons compared with cerebellar granule neurons.
“Processes related to cGMP metabolism and semaphoring receptor activity were more abundant in cortical neurons as compared with CGN Supplementary Fig. 4).”
Quote in the paperNot a substantial claim - Findingown data
Protein translation was evident in only about a quarter of transcripts with RPKM values between 1 and 0.1.
“There was evidence of protein translation in only about a quarter of the transcripts with RPKM values between 1 and 0.1 (Supplementary Fig. 2).”
Quote in the paperNot a substantial claim - Findingown data
Oligodendrocyte precursor cells showed strong enrichment in RNA related to metabolic processes.
“In the oligodendrocyte precursor cells population, we observed a strong enrichment in RNA related to metabolic processes, which would be expected for proliferating cells.”
Quote in the paperNot a substantial claim - Findingown data
RNA sequencing of cultured oligodendrocytes, astrocytes, microglia and cortical neurons resulted in 19,501 unique gene symbols expressed in at least one cell type.
“RNA sequencing (RNA-Seq) using the Illumina platform resulted in 19,501 unique gene symbols that were expressed in at least one cell type (Fig. 1e and Supplementary Table 3).”
Quote in the paperSubstantial claim - Findingown data
The analysis revealed several previously unknown cell type-specific proteins.
“In addition, our analysis revealed several previously unknown cell type-specific proteins (see below; Supplementary Tables 6 and 7).”
Quote in the paperNot a substantial claim - Findingown data
High correlation in fold enrichments of proteins was observed when comparing related cell types in culture and acutely isolated.
“We observed high correlation in the fold enrichments of proteins when comparing the related cell types in culture and acutely isolated (Fig. 3c).”
Quote in the paperSubstantial claim - Findingown data
Integral membrane proteins were not enriched among transcripts for which no protein was detected.
“Integral membrane proteins in general were not enriched in the transcripts for whsich no protein was detected (Supplementary Table 4).”
Quote in the paperSubstantial claim - Findingown data
Close to 1,000 annotation terms, including about 60 KEGG pathways, were significantly enriched in at least one cell type proteome.
“Close to 1,000 annotation terms, including about 60 KEGG pathways, were significantly enriched in at least one cell type proteome (annotation matrix resolved to individual replicate; Supplementary Table 10).”
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Cortical and cerebellar granule neurons showed expected pathways involving synapse, dendrite development and morphogenesis, axonogenesis, calcium-mediated signaling, and pre- and postsynaptic membrane potential processes.
“For cortical and cerebellar granule neurons, we found the expected pathways involving the synapse and pathways, including dendrite development and morphogenesis, axonogenesis, calcium-mediated signaling, and post-and presynaptic membrane potential processes.”
Quote in the paperNot a substantial claim - Findingown data
Using a fourfold difference criterion, 411 oligodendrocyte-enriched and 1,388 neuron-enriched gene products were identified.
“Similar results were obtained with at least fourfold (and with statistical significance) difference between the different cells. This selection resulted in 411 oligodendrocyte-enriched and 1,388 neuron-enriched gene products (Supplementary Table 6).”
Quote in the paperSubstantial claim - Findingown data
Oligodendrocyte-enriched pathways include myelination, ensheathment of axons, lipid metabolism and membrane-associated processes.
“Pathways and biological functions enriched in oligodendrocytes include the known highly specific processes such as myelination, ensheathment of axons, lipid metabolism and membrane-associated processes.”
Quote in the paperNot a substantial claim - Findingown data
Transcription factors were among the cell type-specific proteins.
“Transcription factors (for example, Sox8, Sox10, Myt1, Myrf, Olig2, Nkx2.2 in oligodendrocytes; Tbr1, Bcl11b, Myt1l, Emx1, Bhlhe22, Arx in neurons; Sfpi1, Irf5, Irf8, Runx1, Ikzf1 in microglia; Sox9 and Pax6 in astrocytes) were also among these cell type-specific proteins.”
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Astrocyte-enriched pathways were mainly metabolic, including cellular ketone, organic acid, carboxylic, oxidation-reduction, amino acid amine and small molecule catabolic processes.
“Pathways enriched in astrocytes were mainly metabolic in nature, including cellular ketone, organic acid, carboxylic, oxidation-reduction processes, amino acid amine and small molecule catabolic processes.”
Quote in the paperNot a substantial claim - Findingown data
A quantitative comparison of adult mouse brain and liver proteomes provided a list of 147 most abundant brain-enriched (>10-fold enrichment compared to liver) proteins.
“To this end, we performed a quantitative comparison of the adult mouse brain (Fig.4 and Supplementary Table 2) and liver proteomes and provide a list of the 147 most abundant brain-enriched (>10-fold enrichment as compared to the liver) proteins (Supplementary Table 15).”
Quote in the paperNot a substantial claim - Findingown data
In acutely isolated cells, the total number of cell type-specific proteins (>10-fold more abundant in one cell type compared to all others) was relatively small (768 proteins).
“As in cultured cells, their total number was relatively small 768 proteins).”
Quote in the paperNot a substantial claim - Findingown data
Cell type-specific proteins were highly enriched for cell surface and extracellular proteins.
“GO-based enrichment analysis revealed that cell type-specific proteins are highly enriched for cell surface and extracellular proteins (Supplementary Table 11).”
Quote in the paperSubstantial claim - Findingown data
Microglia-enriched pathways mostly involve regulation of immune processes, antigen processing and presentation, defense response, or leukocyte activation.
“The pathways enriched in microglia were mostly those involving regulation of immune processes, antigen processing and presentation, defense response, or leukocyte activation.”
Quote in the paperNot a substantial claim - Findingown data
The most substantial increase in pathways was for antigen-presentation and extracellular matrix in primary cultures of microglia and astrocytes, respectively.
“The most substantial increase was observed for pathways related to antigen-presentation and extracellular matrix in primary cultures of microglia and astrocytes, respectively (Supplementary Fig. 6b,c).”
Quote in the paperNot a substantial claim - Findingown data
Significantly enriched annotation terms revealed very similar functional proteomics portraits in corresponding cell types.
“The significantly enriched annotation terms revealed very similar functional proteomics portraits in the corresponding cell types (Supplementary Table 14).”
Quote in the paperSubstantial claim - Findingown data
GO-based enrichment analysis of cell type-specific proteins from acutely isolated cells showed high enrichment for cell surface proteins.
“Again, as observed in cultured CNS cell types, our GO-based enrichment analysis of cell type-specific proteins showed a high enrichment for cell surface proteins (Fig. 3d).”
Quote in the paperNot a substantial claim - Findingown data
In developing cerebellum, pathways related to synaptogenesis, myelination and axonal growth increased at P14 and P24.
“In the analysis of the developing cerebellum (P5, P14, P24) we observed that pathways related to synaptogenesis, myelination and axonal growth increased at P14 and P24(Supplementary Fig. 5).”
Quote in the paperNot a substantial claim - Findingown data
GO enrichment analysis of all enriched proteins highlighted the cell surface as one of the most significant components (P < 0.02).
“GO enrichment analysis of all the enriched proteins together again highlighted the cell surface as one of the most significant components (P < 0.02; Fig. 5d).”
Quote in the paperNot a substantial claim - Findingown data
Cell adhesion was among the KEGG pathways shared between neurons and oligodendrocytes.
“Cell adhesion was among the KEGG pathways that were shared between neurons and oligodendrocytes (Fig. 6a).”
- Also stated in: § Discussion · plain
“we applied bioinformatic tools and found that cell adhesion was among the KEGG pathways that were shared between neurons and oligodendrocytes.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
For the three pooled oligodendrocyte stages, three thus far unstudied proteins were found among the top ten proteins.
“For the three pooled oligodendrocyte stages, we found three thus far unstudied proteins just among the top ten proteins.”
Quote in the paperNot a substantial claim - Findingown data
The interaction was specific, as none of the proteins interacted with astrocytes or HEK293T cells.
“The interaction was specific, as none of the proteins interacted with astrocytes or HEK293T cells (Fig. 7c and Supplementary Fig.10).”
Quote in the paperSubstantial claim - Findingown data
In primary cortical neuronal culture, Lsamp was found in the cell body and processes of a subpopulation of neurons, consistent with its previously described regional specific expression pattern.
“In primary cortical neuronal culture, we found Lsamp in the cell body and processes of a subpopulation of neurons, consistent with the previously described regional specific expression pattern of Lsamp in the brain44 (Fig. 7f).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] Reed, J.E. et al. Expression of cellular adhesion molecule 'OPCML' is down-regulated in gliomas and other brain tumours. Neuropathol. Appl. Neurobiol. 33, 77–85 (2007). source
- Findingown data
Western blotting of purified CNS cell types confirmed that Col11A1 is enriched in oligodendrocytes at an early stage of development.
“Using western blotting of purified CNS cell types, we confirmed that Col11A1 is enriched in oligodendrocytes at an early stage of development (Supplementary Fig. 8).”
Quote in the paperNot a substantial claim - Findingown data
In brain sections, Lsamp was highly enriched in limbic structures.
“In brain sections, Lsamp was highly enriched in limbic structures.”
Quote in the paperNot a substantial claim - Findingown data
The most abundant and enriched adhesion molecule shared between oligodendrocytes and neurons was Ncam1.
“The most abundant and enriched adhesion molecule shared between oligodendrocytes and neurons was Ncam1 (Fig. 6b),a protein that negatively regulates myelination36.”
Quote in the paperSubstantial claim - Findingown data
All tested IgLON family members (Lsamp-Fc, Neurotrimin-Fc, Opcml-Fc) bound to both neurons and oligodendrocytes.
“All of the members of the IgLON family that we tested (Lsamp-Fc, Neurotrimin-Fc, Opcml-Fc) bound to both neurons and oligodendrocytes (Fig. 7a,b ,d and Supplementary Fig. 9).”
Quote in the paperSubstantial claim - Findingown data
By plotting the most abundant and enriched adhesion molecules of the adult mouse brain compared with liver, Lsamp was identified among the top proteins.
“By plotting the most abundant and enriched (as compared with the liver) adhesion molecules of the adult mouse brain, we identified Lsamp among the top proteins (Fig. 6d), further supporting the importance of this still poorly described molecule in brain function.”
Quote in the paperSubstantial claim - Findingown data
Early in development, before myelination started (up to P20), Lsamp appeared along axonal tracts connecting limbic areas, including the frontal corpus callosum, fimbria, stria terminalis and fibers of the anterior commissure.
“Early in development, before myelination had started (up to P20), Lsamp appeared along the axonal tracts connecting limbic areas, including the frontal corpus callosum, fimbria, stria terminalis and on fibers of the anterior commissure (Fig. 7g).”
Quote in the paperNot a substantial claim - Findingown data
Comparing overall architecture of fiber tracts in knockout and wild-type mice stained for MBP revealed no major differences.
“Comparing the overall architecture of fiber tracts in knockout and wild-type mice on brain sections stained for MBP revealed no major differences.”
Quote in the paperSubstantial claim - Findingown data
Lsamp was the second-most enriched adhesion molecule in neurons and oligodendrocytes.
“The limbic system-associated membrane protein (Lsamp) was the second-most enriched adhesion molecule in neurons and oligodendrocytes.”
Quote in the paperSubstantial claim - Findingown data
Thinner axons started to be myelinated earlier in Lsamp knockout mice than in wild-type animals.
“When we analyzed the axonal size distribution of myelinated fibers, we observed that thinner axons started to be myelinated earlier in Lsamp knockout mice than in wild-type animals (Fig. 8c).”
Quote in the paperSubstantial claim - Findingown data
In adult mice, labeling of Lsamp in white matter was reduced.
“In adult mice, the labeling of Lsamp in white matter was reduced.”
Quote in the paperNot a substantial claim - Findingown data
A higher number of myelinated axons was observed in Lsamp-deficient animals at P20 and P30.
“Indeed, we observed a higher number of myelinated axons in Lsamp-deficient animals at P20 and P30 (Fig. 8e).”
Quote in the paperSubstantial claim - Findingown data
G-ratios were significantly different only at P30 in the fimbria of Lsamp knockout mice (thicker myelin) compared with wild-type mice (P = 0.0105).
“We observed that g-ratios were significantly different only at P30 in the fimbria of Lsamp knockout (thicker myelin) as compared with wild-type mice (P = 0.0105; Fig. 8a,b,d and Supplementary Fig. 12).”
Quote in the paperSubstantial claim - Findingown data
Cell type-specific proteins represent many relatively abundant integral membrane proteins associated with the cell surface and extracellular matrix.
“An interesting aspect of our analysis is that cell type-specific proteins represent many relatively abundantintegral membrane proteins associated with the cell surface and the extracellular matrix.”
Quote in the paperNot a substantial claim - Findingown data
An unexpected finding was the high qualitative degree of similarity of the proteomes even among very dedicated cell types in a highly complex organ.
“An unexpected finding of our study was the high qualitative degree of similarity of the proteomes, even in the context of very dedicated cell types in a highly complex organ.”
Quote in the paperSubstantial claim - Findingown data
Using acutely purified cell populations, highly overlapping protein expression patterns were found between cultured and isolated CNS cell preparations.
“Using acutely purified cell populations, we found highly overlapping protein expression patterns between cultured and isolated CNS cell preparations.”
Quote in the paperSubstantial claim - Findingown data
Lsamp was the second most enriched adhesion molecule in neurons and oligodendrocytes.
“Lsamp wasthe second most enriched adhesion molecule in neurons and oligodendrocytes.”
Quote in the paperNot a substantial claim - Findingown data
Even when comparing different brain regions, the cell surface emerged as the cellular component containing proteins that contribute most to brain-region specificity.
“Even when comparing the different brain regions, the cell surface emerged as the cellular component containing the proteins that contribute the most to brain-region specificity.”
Quote in the paperSubstantial claim - Findingown data
The study resulted in the largest collection thus far of cell type- and brain region-resolved protein expression data of the brain.
“we performed in-depth proteome analysis of the adult mouse brain, its major brain-region and CNS cell types that resulted in the largest collection thus far of cell type- and brain region-resolved protein expression data of the brain.”
Quote in the paperSubstantial claim - Findingown data
Ncam1 was the most abundant and enriched adhesion molecule shared between oligodendrocytes and neurons.
“we plotted all 282 proteins of this category and found that the most abundant and enriched adhesion molecule shared between oli-godendrocytes and neurons was Ncam1”
Quote in the paperSubstantial claim - Interpretationown data
Proteomics technology enables rapid, reproducible and quantitative in-depth profiling of complex tissue.
“These results illustrate the power of proteomics technology for in-depth profiling of complex tissue in a rapid, reproducible and a quantitative fashion.”
Quote in the paperSubstantial claim - Interpretationown data
Comparison of the identified proteins with deep sequencing transcriptome data indicated deep coverage of the proteome.
“Comparisons of the 12,934 identified proteins in oligodendrocytes, astrocytes, microglia and cortical neurons with deep sequencing data of the transcriptome indicated deep coverage of the proteome.”
Quote in the paperSubstantial claim - Study design and conductown data
Cultured oligodendrocytes, astrocytes, microglia, cortical and cerebellar granule neurons were confirmed to have intact morphology and purity by antibody labeling with established markers.
“We started with primary cell culture and confirmed the intact morphology and purity of cultured oligodendrocytes, astrocytes, microglia, cortical and cerebellar granule neurons by antibody labeling using established markers (GFAP,P-III tubulin, Ibal, O1 and MBP; Supplementary Fig. 1).”
Quote in the paperSubstantial claim - Study design and conductnone given
Three independent preparations with purity >95% were used for the analysis.
“Three independent preparations with a purity >95% were used for the analysis.”
Quote in the paperSubstantial claim - Study design and conductown data
Acutely isolated cell populations achieved mean purity in excess of 95% in all three biological replicates.
“We achieved highly purified populations of cells with mean purity in excess of 95% in all three biological replicates (Supplementary Fig. 1), in each of which we identified and quantified more than 11,500 proteins (Fig. 1d and Supplementary Tables 2 and 13).”
Quote in the paperSubstantial claim - Study design and conductown data
Clustering and cluster-specific enrichment analysis recalled known biological processes, components and pathways of each cell type from unbiased analysis.
“Clustering and cluster-specific enrichment analysis using Gene Ontology Biological Processes (GOBP), Gene Ontology Cellular Components (GOCC), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Comprehensive Resource of Mammalian Protein Complexes (CORUM) clearly recalled the knownbiological processes, components and pathways of each cell type from unbiased analysis (Fig. 2e and Supplementary”
Quote in the paperSubstantial claim - Study design and conductown data
RNA-Seq biological replicates showed high correlations (Pearson's correlation ∼0.98).
“We also observed high correlations of the biological replicates for the RNA-Seq data (Pearsons correlation of ∼0.98; Supplementary Fig. 3).”
Quote in the paperNot a substantial claim - Interpretationown data
These data point to a role of Lsamp as a negative regulator of myelination in specific fiber tracts.
“Together, these data point to a role of Lsamp as a negative regulator of myelination in specific fiber tracts.”
Quote in the paperSubstantial claim - Interpretationown data
Similar results for Ntm-Fc and Opcml-Fc suggest that members of the IgLON family are repulsive to oligodendrocytes.
“Similar results were obtained for Ntm-Fc and Opcml-Fc, suggesting that members of the IgLON family are repulsive to oligodendrocytes.”
Quote in the paperSubstantial claim - Study design and conductown data
Specificity of Lsamp staining was confirmed using brain tissue from Lsamp knockout mice.
“We confirmed specificity of the staining using brain tissue from Lsamp knockout mice (Supplementary Fig. 11).”
Quote in the paperSubstantial claim - Interpretationreasoning
The shift toward earlier myelination of thinner axons indicates premature myelination.
“Given that myelination starts in the thickest axons and progresses to small diameter axons with time, such a shift is an indication for premature myelination.”
Quote in the paperSubstantial claim - Interpretationown data
The strong similarity between cell proteomes is unlikely to be due to cell culture conditions.
“Could the strong similarity be a result of cell culture conditions? Although intercellular interactions of the various CNS cells in vivo are known to be important, this is unlikely to be the reason.”
Quote in the paperSubstantial claim - Interpretationown data
Cultured primary cells can serve as an alternative for cells in vivo in many contexts.
“This indicates that these cultured primary cells can serve as an alternative for cells in vivo in many contexts (see Supplementary Fig. 13 for RNA-Seq comparison).”
Quote in the paperSubstantial claim - Premiseown data
Correlations between mRNA and protein levels are too weak and variable for each protein to allow reliable quantitative predictions on protein abundance.
“Genome-wide transcriptome analyses have been performed extensively with CNS cell types,but the correlations between mRNA and protein levels are too weak and variable for each protein to allow for reliable quantitative predictions on protein abundance.”
Quote in the paperSubstantial claim - Interpretationown data
Deep proteome coverage in a single run was made possible by matching to the brain proteome library composed of fractionated analysis of mouse brain and its primary cell types.
“Such a deep proteome coverage in a single run was made possible by matching to the brain proteome library composed of the fractionated analysis of mouse brain and its primary cell types that we generated.”
Quote in the paperSubstantial claim - Interpretationreasoning
The small number of cell type-specific proteins was unexpected given the highly specialized tasks of glia and neuronal cells.
“Considering the highly specialized tasks that the glia and neuronal cells need to carry out, the small number of cell type-specific proteins was unexpected.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
The brain proteome presented is an incomplete snapshot.
“The brain proteome presented here represents an incomplete snapshot.”
Quote in the paperNot a substantial claim - Interpretationown data
This study provides proof of concept that analyzing abundantly and differentially expressed proteins in CNS cells can identify adhesion molecules involved in neuron-oligodendrocyte interaction.
“We provide proof of concept by applying this strategy to identify adhesion molecules in neuron and oligodendrocyte interaction.”
Quote in the paperSubstantial claim - Interpretationown data
Proteome analysis may serve as a rich resource for understanding brain development and function, complementing existing transcriptome databases.
“our proof-of-concept study found that proteome analysis may serve as a rich resource for the understanding of brain development and function, complementing existing transcriptome databases.”
Quote in the paperNot a substantial claim
- May combine two claims. 35
- Classified as probably not a substantial claim. 28
May combine two claims.
PremisecitationMessenger RNA and protein quantities often correlate poorly, emphasizing post-transcriptional control of protein synthesis and degradation.
“Several studies have reported that quantities of messenger RNA and proteins often correlate poorly, emphasizing the importance of post-transcriptional processes that control protein synthesis and degradation11.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [11] Vogel, C. & Marcotte, E.M. Insights into the regulation of protein abundance from proteomic and transcriptomic analyses. Nat. Rev. Genet. 13, 227–232 (2012). source
Classified as probably not a substantial claim.
PremisecitationPrevious studies of human cancer cell lines found proteins tend to be ubiquitously expressed, with differences in expression level rather than presence or absence.
“Previous studies of different human cancer cell lines have found that proteins tend to be ubiquitously expressed with differences in the level of expression of the proteins rather than in their absence or presence18–20.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [18] Geiger, T., Wehner, A., Schaab, C., Cox, J. & Mann, M. Comparative proteomic analysis of eleven common cell lines reveals ubiquitous but varying expression of most proteins. Mol. Cell Proteomics 11, M111.014050 (2012). source
- cites [19] Lundberg, E. et al. Defining the transcriptome and proteome in three functionally different human cell lines. Mol. Syst. Biol. 6, 450 (2010). source
- cites [20] Pontén, F. et al. A global view of protein expression in human cells, tissues, and organs. Mol. Syst. Biol. 5, 337 (2009). source
The Results sections on 45 human cell lines and confocal microscopy report that most analyzed proteins were detected across cell lines, while 66% differed in expression level among the three lines examined by confocal microscopy. This supports the expression-level-versus-presence distinction, but our copy describes the lines as human cell lines without establishing the claim’s specific characterization of them as cancer cell lines. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAstrocytes provide nutrients, maintain extracellular ion balance, recycle neurotransmitters, shape synaptic circuits and regulate the blood-brain barrier.
“Astrocytes, in contrast, provide nutrients to the nervous tissue, maintain the extracellular ion balance, recycle neurotransmitters, shape synaptic circuits and regulate the blood-brain barrier24.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [24] Molofsky, A.V. et al. Astrocytes and disease: a neurodevelopmental perspective. Genes Dev. 26, 891–907 (2012). source
“Astrocyte function during normal development” says astrocytes maintain extracellular homeostasis, and “Maturing astrocytes promote synaptogenesis in developing postnatal brains” describes their role in synapse formation. “Other possible developmental functions of astrocytes” says they regulate blood–brain barrier permeability. The passages do not establish the more specific claims that astrocytes provide nutrients or recycle neurotransmitters. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationLow abundance transcripts appear to result from rare stochastic transcription and are thought to often be non-functional mRNAs.
“These low abundance transcripts appear to be the result of rare stochastic transcription and are thought to often result in non-functional mRNAs28.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [28] Hebenstreit, D. et al. RNA sequencing reveals two major classes of gene expression levels in metazoan cells. Mol. Syst. Biol. 7, 497 (2011). source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA relatively small number of proteins make up a high proportion of total protein mass in ultra-deep proteome analysis.
“As previously observed in ultra-deep proteome analysis, a relatively small number of proteins make up for a high proportion of the total protein mass15,34.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [15] Nagaraj, N. et al. Deep proteome and transcriptome mapping of a human cancer cell line. Mol. Syst. Biol. 7, 548 (2011). source
- cites [34] Marguerat, S. et al. Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells. Cell 151, 671–683 (2012). source
In “Coordinated Expression at mRNA and Protein Levels” (page not provided), the paper reports that the 20% most abundant proteins account for 81.3% of protein molecules in proliferating cells. This supports the unequal-abundance point, but the reported proportion is based on molecule counts, not total protein mass. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThe non-filtered RNA-Seq data showed a bimodal distribution, with one third of transcripts having abundances lower than 1 RPKM.
“As observed previously, the abundance of the non-filtered data, expressed as reads per kilobase of exon per million fragments mapped (RPKM), revealed a bimodal distribution (Fig. 1e), where one third of the transcripts have abundances lower than 1 RPKM15,28.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [15] Nagaraj, N. et al. Deep proteome and transcriptome mapping of a human cancer cell line. Mol. Syst. Biol. 7, 548 (2011). source
- cites [28] Hebenstreit, D. et al. RNA sequencing reveals two major classes of gene expression levels in metazoan cells. Mol. Syst. Biol. 7, 497 (2011). source
The Results and discussion describe two overlapping expression groups in RNA-seq data, but the RNA-seq distribution has a low-expression shoulder; the paper calls the microarray distribution clearly bimodal. Our copy does not report that one third of transcripts have abundances below 1 RPKM. Its figure of approximately 30% refers instead to genes with no detected reads at a sequencing depth of 25 million reads. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThe correlation between proteomes and corresponding transcriptomes was only 0.4 to 0.45, capturing important differences between transcriptome and proteome.
“As the correlation between the proteomes and the corresponding transcriptomes was only 0.4 to 0.45,our analysis captured important differences between transcriptome and proteome30,31 (Fig. 2c).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [30] de Sousa Abreu, R., Penalva, L.O., Marcotte, E.M. & Vogel, C. Global signatures of protein and mRNA expression levels. Mol. Biosyst. 5, 1512–1526 (2009). source
The section ‘Steady-state concentrations of protein molecules per mRNA and their correlates’ (page not provided) reports that several measurements have R² around 0.4 and that much of the variation in protein levels is not explained by mRNA levels. It does not give 0.4–0.45 as a general correlation coefficient: that figure is approximately a squared Pearson correlation, and the reported values vary across organisms. The citing authors’ statement about what their own analysis captured is their inference, not a finding attributed to this source. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [31] Maier, T., Guell, M. & Serrano, L. Correlation of mRNA and protein in complex biological samples. FEBS Lett. 583, 3966–3973 (2009). source
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataTransfection of full-length Lsamp, Neurotrimin and Opcml tagged with EGFP into HEK293T cells and addition of soluble Fc fusion proteins showed homo- and heterophilic interactions as noted previously.
“Next, we transfected plasmids encoding for full-length Lsamp, Neurotrimin and Opcml tagged with EGFP into HEK293T cells, added soluble Fc fusion proteins and observed homo- and heterophilic interactions as noted previously41 (Supplementary Fig. 10).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [41] Gil, O.D., Zanazzi, G., Struyk, A.F. & Salzer, J.L. Neurotrimin mediates bifunctional effects on neurite outgrowth via homophilic and heterophilic interactions. J. Neurosci. 18, 9312–9325 (1998). source
The section “Ntm forms homomeric complexes: potential role in promoting adhesion” reports homophilic binding between neurotrimin-expressing CHO cells and soluble Ntm-Fc. The paper also suggests heterophilic mechanisms in its neurite-outgrowth experiments, but does not establish the homo- and heterophilic interactions among Lsamp, Neurotrimin, and Opcml implied here. The HEK293T/EGFP experiment is the citing authors’ own work, not an experiment attributed to this source. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLsamp belongs to the IgLON family of adhesion molecules, which also comprises Ntm, Opcml and Negr1.
“Lsamp belongs to the IgLON family of adhesion molecules, which also comprises Ntm (neurotrimin), Opcml (opiod-binding cell adhesion molecule) and Negr1 (neuronal growth regulator1)37–39.”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [37] Pimenta, A.F. et al. The limbic system-associated membrane protein is an Ig superfamily member that mediates selective neuronal growth and axon targeting. Neuron 15, 287–297 (1995). source
- cites [38] Schofield, P.R. et al. Molecular characterization of a new immunoglobulin superfamily protein with potential roles in opioid binding and cell contact. EMBO J. 8, 489–495 (1989). source
- cites [39] Struyk, A.F. et al. Cloning of neurotrimin defines a new subfamily of differentially expressed neural cell adhesion molecules. J. Neurosci. 15, 2141–2156 (1995). source
The Discussion (page unavailable in our copy) identifies LAMP, neurotrimin and OBCAM as members of a subfamily of Ig-like cell adhesion molecules, supporting the Lsamp, Ntm and Opcml portion of the claim. It does not identify Negr1 as a member or use the name IgLON. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMutations in the Col11A1 gene are associated with a type of Stickler syndrome, a connective tissue disorder characterized by ocular, skeletal, orofacial and auditory defects.
“Mutations in the gene are associated with a type of Stickler syndrome, a connective tissue disorder characterized by ocular, skeletal, orofacial and auditory defects35.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [35] Snead, M.P. & Yates, J.R. Clinical and molecular genetics of Stickler syndrome. J. Med. Genet. 36, 353–359 (1999). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingcitationNecl1-Fc and Necl4-Fc bound to oligodendrocytes and axons, respectively, as expected.
“As positive controls, we used Necl1-Fc and Necl4-Fc42,43, which, as expected, bound to oligodendrocytes and axons, respectively.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [42] Spiegel, I. et al. A central role for Necl4 (SynCAM4) in Schwann cell-axon interaction and myelination. Nat. Neurosci. 10, 861–869 (2007). source
- cites [43] Maurel, P. et al. Nectin-like proteins mediate axon Schwann cell interactions along the internode and are essential for myelination. J. Cell Biol. 178, 861–874 (2007). source
The Results section, “Necl proteins mediate adhesion to neurons and Schwann cells” (page not provided), reports Necl-4-Fc binding to DRG neurites, supporting the axon portion. It reports Necl-1-Fc binding to Schwann cells, not oligodendrocytes; the oligodendrocyte portion is not established by this paper. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNcam1 negatively regulates myelination.
“Ncam1 (Fig. 6b),a protein that negatively regulates myelination36.”
- Also stated in: § Discussion · plain
“Ncam1, a protein that negatively regulates myelination36.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [36] Charles, P. et al. Negative regulation of central nervous system myelination by polysialylated-neural cell adhesion molecule. Proc. Natl. Acad. Sci. USA 97, 7585–7590 (2000). source
The Discussion reports that PSA-NCAM acts as a negative signal for myelination, and the Results show increased myelination after masking or removing its PSA moieties. The citing sentence attributes this effect to Ncam1 generally, but the paper establishes it specifically for polysialylated NCAM, not NCAM regardless of its polysialylation state. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Also stated in: § Discussion · plain
May combine two claims.
FindingcitationThe identified 17,634 transcripts from RNA sequencing showed a bimodal distribution, with one-third of transcripts of low abundance, possibly due to stochastic transcription.
“The identified 17,634 transcripts from the RNA sequencing showed a bimodal distribution, where one-third of the transcripts were of low abundance, possibly as a result of stochastic transcription28.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [28] Hebenstreit, D. et al. RNA sequencing reveals two major classes of gene expression levels in metazoan cells. Mol. Syst. Biol. 7, 497 (2011). source
The Results and discussion describe two expression classes and an emerging low-expression peak after correcting for RNA-seq detection limits. They say the microarray distribution is clearly bimodal, however, while the uncorrected RNA-seq distribution has a low-expression shoulder. The passages do not substantiate 17,634 identified transcripts, a one-third low-abundance fraction, or stochastic transcription as the explanation for that fraction. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThe study observed proteome-transcriptome Pearson correlation coefficients between 0.40 and 0.45, poorer than previously reported for cell lines but in the range of recent human tissue comparisons.
“We observed differences in the proteome and transcriptome with Pearson correlation coefficients between 0.40 and 0.45, somewhat poorer than those previously reported for cell lines15, but in the range of recent comparisons of human tissues16.”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
Findingown dataOligodendrocytes expressed the smallest number (341 proteins) of cell type-specific proteins, and cortical neurons the largest (669 proteins).
“We found that oligodendrocytes expressed the smallest number (341 proteins) of cell type-specific proteins, defined by the greater than tenfold fold enrichment criterion, and cortical neurons the largest (669 proteins).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBetween different cell types, proteome correlations ranged from 0.48 to 0.84 and transcriptome correlations from 0.25 to 0.86.
“Between different cell types, correlations were much lower, from 0.48 to 0.84 for the proteome (Fig. 2a) and from 0.25 to 0.86 for the transcriptome (Supplementary Fig. 3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThis corresponds to an average of 11,970 proteins per system, with 10,529 proteins identified in all five cell types and brain.
“This corresponds to an average of 11,970 different proteins in each of these systems, of which 10,529 proteins were identified in all five cell types and brain (Fig. 1b,c).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCell surface proteins were highly overrepresented among the most abundant brain-versus-liver-enriched proteins, and four out of the top five GOCC terms were related to membranes.
“Similar to the comparison between the different cell types, GO-based enrichment analysis revealed that cell surface proteins were highly overrepresented in the group of the most abundant brain-versus liver-enriched proteins and four out of the top five GOCC terms were related to membranes (Supplementary Table 16).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMicroglia-specific proteins had functions in membrane trafficking, lipid catabolism and cell surface signaling, whereas astrocyte-specific proteins had functions in actin-related processes and cilia.
“The cell type-specific proteins in microglia had functions in membrane trafficking (Rab32, Myo1f), lipid catabolism (Apobr, Lipa) and signaling at the cell surface (CD180, Dock2, Nckap1l,Gpnmb, Fermt3), whereas proteins with designated functions in actin-related processes (Cnn1, Fmn2, Nebl, Pdlim7, Synpo2) and cilia (Rsph1, Ccdc39) were enriched in astrocytes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn all four cell types, ∼30-40 of the most abundant proteins accounted for ∼25% of total protein molecules, and some were cell type specific.
“In fact, in all four cell types, ∼ 30–40 of the most abundant proteins accounted for ∼25% of the total protein molecules, and some of these were cell type specific (for oligodendrocytes Mbp, Plp, Cnp1; for cortical neurons Atp1b1, Crmp1, Gpm6a; for astrocytes Gfap, Gstm1, Prdx6; and for microglia Gm5483; Fig. 3b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe large majority of proteins were expressed in all four cell types, and only about 15% of quantified proteins were cell type specific (>10-fold more abundant in one cell compared with all others).
“The large majority of proteins were expressed in all four cell types, whereas only about 15% of the quantified proteins could be considered to be cell type specific (>10-fold more abundant in one cell compared with all others; Supplementary Table 6).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe top 50 cell type-specific proteins included many well-established markers and, based on PubMed search, more than one-third of the 50 proteins in various glial types had not previously been studied in the respective cell type.
“The top 50 cell type-specific proteins (the most enriched and abundant proteins) included many well-established cell type-specific markers, but, based on PubMed search, also a relatively large number of proteins that have previously not been studied in the context of the respective cell type (more than one-third of the 50 proteins in the various glial types).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe 12,934 proteins identified in different CNS cell types correspond to 11,690 ENSEMBL genes, representing about 60% of all protein coding genes in the genome.
“The 12,934 proteins identified in different CNS cell types correspond to 11,690 ENSEMBL genes, which represents ∽60% of all protein coding genes in the genome.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningMicroglia were the most diverging cell type, and astrocytes and oligodendrocytes were closest to each other.
“Consistent with their hematopoietic origin, microglia were the most diverging cell type; and, as expected from their shared lineage, astrocytes and oligodendrocytes were closest to each other (Fig. 2b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPCA and hierarchical clustering showed that the optic nerve, cerebellum and brain stem were the most diverging brain regions, while the remaining seven regions clustered more tightly.
“As judged by principal component analysis (PCA) and hierarchical clustering, the optic nerve, the cerebellum and the brain stem were the most diverging brain regions, whereas the remaining seven regions clustered more tightly (Fig. 5a,b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNecl1-Fc promoted growth and spreading of oligodendrocytes, whereas cells did not attach and grow on Lsamp-Fc coated coverslips.
“Whereas Necl1-Fc, used as a positive control, promoted growth and spreading of oligodendrocytes, cells did not attach and grow on Lsamp-Fc coated coverslips (Fig. 8f,g).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAntibody staining confirmed expression of Lsamp in oligodendrocytes and neurons, but not in astrocytes or microglia.
“Using antibody staining, we confirmed the expression of Lsamp in oligodendrocytes and neurons, but not in astrocytes or microglia (Fig. 7e,f).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn total, 2,901 brain region-enriched proteins (>4-fold difference) were identified, with the thalamus expressing the smallest and the optic nerve the largest numbers (154 and 1,179, respectively).
“In total, we identified 2,901 brain region-enriched proteins (>4-fold difference) and found that the thalamus expressed the smallest and the optic nerve the largest numbers of brain region-enriched proteins (154 and 1,179, respectively; Supplementary Tables 17 and 18).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataImmunofluorescence staining showed that Col11A1 can be used as a new marker for immature oligodendrocytes, and immunohistochemistry revealed a weak association of Col11A1 with white matter tracts.
“Immunofluorescence staining of cultured cells showed that Col11A1 can be used as a new marker for immature oligodendrocytes and immunohistochemistry of brain sections revealed a weak association of Col11A1 with white matter tracts (Supplementary Fig. 8).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataProteins of the extracellular matrix were identified, with Col11A1 being the most highly expressed and enriched protein.
“These analyses identified proteins of the extracellular matrix (Col11A1, Col1A1, Col1A2, Col4A1, Col3A1, Col5A2), of which Col11A1 was the most highly expressed and enriched protein.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMost IgLON family members were enriched in neurons and oligodendrocytes, except Ntm, which was only enriched in neurons.
“Notably, most family members were enriched in neurons and oligodendrocytes (except of Ntm, which was only enriched in neurons; Fig. 6c).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPrph, Sncg and Serpinb1b were most abundant and enriched in the brain stem; Omp and S100a5 in the olfactory bulb; Ppp1r1b, Actn2 and Pde10a in the striatum; and Plcb4, Prkcd and Synpo2 in the thalamus.
“Prph, Sncg and Serpinb1b were most abundant and enriched in the brain stem, Omp and S100a5 in the olfactory bulb, Ppp1r1b, Actn2 and Pde10a in the striatum, and Plcb4, Prkcd and Synpo2 in the thalamus (Fig. 5c).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMicroglia are glial cells with functions mainly related to immune response and maintaining brain homeostasis.
“Microglia cells constitute the third class of glial cells with functions mainly related to immune response and maintaining brain homeostasis25.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Hanisch, U.K. & Kettenmann, H. Microglia: active sensor and versatile effector cells in the normal and pathologic brain. Nat. Neurosci. 10, 1387–1394 (2007). source
May combine two claims.
PremisecitationGlia constitute 50-90% of cells in the human brain and are highly specialized toward cell type-selective tasks.
“Glia are not only abundant (constituting 50–90% of the cells in the human brain), but are also highly specialized toward cell type-selective tasks, and therefore ideally suited for these analyses21.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Barres, B.A. The mystery and magic of glia: a perspective on their roles in health and disease. Neuron 60, 430–440 (2008). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOligodendrocytes primarily synthesize membrane and insulate axons by enwrapping them with a multilamellar myelin sheath.
“Oligodendrocytes are primarily engaged in membrane synthesis, as their function is to insulate axons by enwrapping them with a multilamellar myelin sheath22,23.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Study design and conductown dataBetween biological replicates of the same cell types, Pearson's correlation coefficients were about 0.96, demonstrating excellent technical and biological reproducibility.
“Between biological replicates of the same cell types, Pearson’s correlation coefficients were about 0.96, demonstrating excellent technical and biological reproducibility (Fig. 2a).”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataCell type-specific markers for astrocytes, oligodendrocytes, microglia and neuronal progenitors were reproducibly enriched at least 16-fold, confirming proteome quality.
“The expression levels of cell type-specific markers for astrocytes (Aqp4, Gfap, Aldh1l1), oligodendrocytes (Cnp1, Mbp, Plp1), microglia (Iba1, Tlr2, Tlr7) and neuronal progenitors (Bcl11a, Bcl11b, Ebf3) showed that almost all of these markers were reproducibly enriched at least 16-fold, also confirming the quality of the proteome analysis (Supplementary Fig. 6a).”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataExpression levels of well-described markers for astrocytes, oligodendrocytes, cortical neurons, cerebellar granule neurons and microglia were reproducibly enriched at least 16-fold, confirming proteome quality.
“The expression levels of well-described markers for astrocytes (Aquaporin 4, Gfap, Glast and Aldh1l1), oligodendrocytes (Cnp1, Sox10, Mbp, Mag, Mog, Plp1), cortical neurons (neurofilament, Snap25, synaptotagmin I, Gabra 2), cerebellar granule neurons (Synaptotagmin I, Snap25, Sv2b, Gprin1, L1cam) and microglia (Iba1, Tlr2, Tlr7, CD86) in our triplicate proteome analysis revealed that almost all of”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe deep primary cell proteomes faithfully reproduce known cellular functions and markers, providing a solid foundation for global characterization and new discoveries.
“Together these analyses of our deep primary cell proteomes faithfully reproduce known and characteristic cellular functions as well as their markers, providing a solid foundation for their global characterization and for new discoveries.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenAll four IgLONs are GPI-anchored glycoproteins with three Ig domains implicated in cell adhesion and growth guidance in neurons, but not in glia.
“All four IgLONs are glycosylphosphati-dylinositol (GPI)-anchored glycoproteins with three Ig domains that have been implicated in cell adhesion and growth guidance in neurons, but not in glia.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe analysis filtered for 8,147 protein groups that were quantified in all replicates for at least one cell type or its differentiation stage.
“We filtered for 8,147 protein groups that were quantified in all replicates for at least one cell type or its differentiation stage.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAll statistical analyses were performed on at least three different biological replicates.
“All statistical analyses were performed on at least three different biological replicates.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataMS-based proteomics can be implemented more broadly into neuroscience to help resolve the full molecular complexity of the brain at the protein level, with cellular or even subcellular resolution.
“our data and the rapidity with which it can now be generated, suggest that MS-based proteomics can be implemented more broadly into neuroscience to help resolve the full molecular complexity of the brain at the protein level, with cellular or even subcellular resolution.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe one-dimensional annotation matrix algorithm used a two-sided Wilcoxon-Mann-Whitney test with Benjamini-Hochberg FDR threshold of 0.02 to adjust for multiple hypothesis testing.
“it tests and computes the difference of every protein annotation from the overall intensity distribution using the two-sided Wilcoxon-Mann-Whitney test where the multiple hypothesis testing is adjusted by applying a Benjamini-Hochberg FDR threshold of 0.02.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenDifferentially expressed proteins were identified by an ANOVA based test at permutation-based FDR cutoff of 0.05.
“Differentially expressed proteins were identified by an ANOVA based test at permutation-based FDR cutoff of 0.05.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenProtein identification required at least one unique or razor peptide per protein group.
“Protein identification required at least one unique or razor peptide per protein group.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataTwo-sample Welch t-tests with a 2% permutation-based FDR filter were used to identify proteins with significant differential expression in a cell type compared to others.
“We performed two-sample welch t-tests to identify proteins with a significant differential expression in a cell type in comparison to others employing a 2% permutation-based FDR filter.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenOnly cell cultures of at least 95% purity were included in further experiments.
“only cultures of at least 95% purity were included in further experiments.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenBlinded quantification was performed by determining areas of the myelinated and unmyelinated axons.
“Blinded quantification was performed by determining areas of the myelinated and unmyelinated axons.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe sample size was similar or higher than those generally employed in the field.
“The sample size was similar or higher to those generally employed in the field.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenPLL coating was used as a positive control to verify the quality of the primary oligodendrocyte preparation.
“PLL coating (100 μg ml-1) was used as a positive control to verify the quality of the primary oligodendrocyte preparation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe annotation matrix ANOVA used a permutation-based FDR cutoff of 0.001 to identify annotation terms significantly different between at least two groups.
“The replicates were grouped based on cell type and differentiation stage before applying an ANOVA test on the annotation matrix with a permutation-based FDR cutoff of 0.001 to identify annotation terms that are significantly different between at least two groups.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataThese technological advances can be used broadly in the proteomic study of diverse and rare brain cell types.
“We believe that these technological advances can be used broadly in the proteomic study of diverse and rare brain cell types.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe results identify a previously unknown negative regulator of myelination in specific fiber tracts of the CNS and exemplify the utility of the proteome resource.
“Apart from identifying a previously unknown negative regulator of myelination in specific fiber tracts of the CNS, these results exemplify the utility of our proteome resource.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataCommonly used filtering criteria for RNA-Seq reduced the number to 12,933, indicating that proteome coverage is close to completion, at least in terms of detection of each functionally expressed gene.
“Commonly used filtering criteria forRNA-Seq reduced the number to 12,933, indicating that our proteome coverage is close to completion, at least in terms of detection of each functionally expressed gene.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe required false discovery rate was set to 1% at the peptide and protein level.
“the required FDR was set to 1% at the peptide and protein level.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLsamp mediates homophilic and heterophilic interactions with other IgLON family members.
“Lsamp is known to mediate homophilic, as well as heterophilic, interactions with other members of the IgLON family48.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Gil, O.D. et al. Complementary expression and heterophilic interactions between IgLON family members neurotrimin and LAMP. J. Neurobiol. 51, 190–204 (2002). source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAnimal experiments were performed according to the Lower Saxony State regulations for animal experimentation.
“All animal experiments were performed according to the Lower Saxony State regulations for animal experimentation.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
How proteomes differ among specialized cells in tissue is not known.
“Proteins are the main functional components in all cells, but how the proteomes differ in specialized cells in tissue is not known.”
The paper relies on this without support.
The molecular nature of axon-glia interaction is unknown.
“Given that the molecularnature of axon and glia interaction is unknown”
The authors state this as an assumption.
Data distribution was assumed to be normal but not formally tested.
“Data distribution was assumed to be normal but this was not formally tested.”
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?
Protein expression data of isolated mouse brain cells was generated by Sharma and colleagues using MACS to isolate microglia, astrocytes, oligodendrocytes, and neurons from young (P8) C57/BL6 mice (3 biological replicates), analysed by mass spectrometry.
“Protein expression data of isolated mouse brain cells was generated by Sharma and colleagues [14] using Magnetic-Activated Cell Sorting (MACS) to isolate microglia, astrocytes, oligodendrocytes, and neurons from the brains of young (P8) C57/BL6 mice (3 biological replicates), analysed by mass spectrometry.”
From Selective suppression of oligodendrocyte-derived amyloid beta rescues neuronal dysfunction in Alzheimer’s disease (2024) · cites this paper as [14]
The Results section, “Proteome analysis of acutely isolated CNS cell types” (page unavailable), confirms magnetic sorting of microglia, astrocytes, oligodendrocytes and PSA-NCAM+ neuronal progenitors from P8 mice, with three biological replicates and quantified proteins. The claim calls the fourth population neurons rather than neuronal progenitors. The Online Methods identify C57BL/6 mice for the separate P60 brain-region analysis but do not specify the strain of the P8 mice. (LLM, conf=0.88)
Experimental — accuracy not yet measuredBCAS1 was one of the most enriched proteins in oligodendrocytes in the previously generated proteome database.
“We examined our previously generated proteome database for oligodendrocyte specific proteins and noticed that BCAS1 was one of the most enriched proteins in oligodendrocytes (21).”
From BCAS1 expression defines a population of early myelinating oligodendrocytes in multiple sclerosis lesions (2017) · cites this paper as [21]
The Results section describes a cell-type-resolved proteome and ranks proteins by enrichment in oligodendrocytes, supporting the identification of the previously generated database. But the passages naming enriched proteins do not mention BCAS1, and searches for BCAS1 and its expanded name found no passage establishing that it was among the most enriched. (LLM, conf=0.78)
Experimental — accuracy not yet measuredThe transcriptome is often not an accurate indicator of protein abundance, especially in complex brain tissue.
“The transcriptome, however, is often not an accurate indicator of protein abundance (Liu et al., 2016), especially in complex brain tissue (Sharma et al., 2015).”
From Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer’s Disease Progression (2020) · cites this paper as Sharma et al., 2015
At the protein level, oligodendrocytes contain high levels of APP, BACE1, and PSEN1.
“we exploited publicly available proteomics data derived from isolated mouse brain cells [14] and found that, at the protein level, oligodendrocytes indeed contain high levels of APP, BACE1, and PSEN1 (S1 Fig).”
From Selective suppression of oligodendrocyte-derived amyloid beta rescues neuronal dysfunction in Alzheimer’s disease (2024) · cites this paper as [14]
mRNA-protein correlation coefficients reach no higher than 0.47 even in acutely isolated brain cell types.
“mRNA-protein correlation coefficients reach no higher than 0.47 even in acutely isolated brain cell types (Sharma et al., 2015).”
From A Multi-network Approach Identifies Protein-Specific Co-expression in Asymptomatic and Symptomatic Alzheimer’s Disease (2017) · cites this paper as Sharma et al., 2015
Bin1 is a highly abundant microglial protein.
“Unique splicing of Bin1 in microglia and oligodendroglia not seen in neurons or astrocytes has also been suggested [59, 67] and Bin1 has also been identified as a highly abundant microglial protein in a recent microglial proteome [68] although the exact role of Bin1 in homeostatic microglia and in AD pathogenesis remains unclear.”
From Identification and therapeutic modulation of a pro-inflammatory subset of disease-associated-microglia in Alzheimer’s disease (2018) · cites this paper as [68]
A similar number of proteins has been shown to be expressed in native neurons.
“a similar number of proteins has been shown to be expressed in native neurons”
From A Multi-layered Quantitative In Vivo Expression Atlas of the Podocyte Unravels Kidney Disease Candidate Genes (2018) · cites this paper as Sharma et al., 2015
Conversely, junctions observed in neurons but not microglia had higher peptide coverage (fold change 2.3) in neuronal mass-spectral data sets.
“Conversely, junctions that were observed in neurons, but not in microglia, had higher peptide coverage (fold change of neuronal to microglial mean: 2.3) in neuronal mass-spectral data sets 43 (Fig. 3d).”
From Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells (2018) · cites this paper as [43]
Neuronal and microglial peptides have recently been identified in young mouse brains.
“Neuronal and microglial peptides have recently been identified in young mouse brains 43 .”
From Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells (2018) · cites this paper as [43]
MACS has been successfully applied to enrich four brain cell types (neuronal progenitors, microglia, astrocytes, and oligodendrocytes) from adult mice for high-resolution MS-based proteomics.
“The MACS approach has been successfully applied to enrich four brain cell types (neuronal progenitors, microglia, astrocytes, and oligodendrocytes) from adult mice for high-resolution MS-based proteomics [97].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [97]
The cell type "character" of each module can be assessed by examining the overlap of module protein membership with cell type specific protein expression data.
“The cell type “character” of each module can be assessed by examining the overlap of module protein membership with cell type specific protein expression data [5, 17].”
From Deep proteomic network analysis of Alzheimer’s disease brain reveals alterations in RNA binding proteins and RNA splicing associated with disease (2018) · cites this paper as [17]
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.
Different starting counts for the RNA-seq data
MinorThe Results give 19,501 expressed gene symbols before filtering, while the Discussion gives 17,634 identified transcripts for the RNA-seq analysis before describing the same filtered total of 12,933. The paper does not explain why these starting counts differ.
“RNA sequencing (RNA-Seq) using the Illumina platform resulted in 19,501 unique gene symbols that were expressed in at least one cell type (Fig. 1e and Supplementary Table 3).”
“The identified 17,634 transcripts from the RNA sequencing showed a bimodal distribution, where one-third of the transcripts were of low abundance, possibly as a result of stochastic transcription28.”
Conflicting final harvest day for cortical neurons
MinorThe Results say cortical neurons were analyzed at 5, 10 and 15 days in vitro, but the culture protocol says they were cultivated until days 5, 10 and 16.
“Lysates were prepared from neurons and oligodendrocytes at different stages of development (1, 2.5 and 4 d in vitro for oligodendrocytes, and 5, 10 and 15 d in vitro for cortical neurons).”
“The third day, AraC was washed out and cells were cultivated in neuronal growth medium until day 5, 10 and 16, respectively.”
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Limbic system associated membrane protein as a potential target for neuropsychiatric disorders
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On the Dependency of Cellular Protein Levels on mRNA Abundance
Liu, Y., Beyer, A., & Aebersold, R. (2016) · Cell · doi:10.1016/j.cell.2016.03.014 · Cited by 3,221 · see citing works
Mass-spectrometric exploration of proteome structure and function
Aebersold, R., & Mann, M. (2016) · Nature · doi:10.1038/nature19949 · Cited by 2,334 · see citing works
Self-citationRevisiting biomarker discovery by plasma proteomics
Geyer, P. E., Holdt, L. M., Teupser, D., & Mann, M. (2017) · Molecular Systems Biology · doi:10.15252/msb.20156297 · Cited by 917 · see citing works
“…the power of cutting edge MS-based proteomics, cell lines can now routinely be quantified to a depth of more than 10,000 different proteins in a relatively short time, sometimes even without any fractionation (Mann et al, 2013; Richards et al, 2015; Sharma et al, 2015; Bekker-Jensen et al, 2017).”
BackgroundSelf-citationSingle-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation
Jordão, M. J. C., Sankowski, R., Brendecke, S. M., Sagar, Locatelli, G., Tai, Y.-H., Tay, T. L., Schramm, E., Armbruster, S., Hagemeyer, N., et al. (2019) · Science · doi:10.1126/science.aat7554 · Cited by 843 · see citing works
“Only recently, comprehensive profiling of bulk populations of CNS macrophages, including of entire transcriptomes (10) and proteomes (11), has helped to uncover several myeloid cell states during homeostasis (12) and disease (13).”
BackgroundSingle-cell transcriptomic profiling of the aging mouse brain
Ximerakis, M., Lipnick, S. L., Innes, B. T., Simmons, S. K., Adiconis, X., Dionne, D., Mayweather, B. A., Nguyen, L., Niziolek, Z., Ozek, C., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0491-3 · Cited by 736 · see citing works
Astrocyte function from information processing to cognition and cognitive impairment
Santello, M., Toni, N., & Volterra, A. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0325-8 · Cited by 737 · see citing works
Microglia Heterogeneity in the Single-Cell Era
Masuda, T., Sankowski, R., Staszewski, O., & Prinz, M. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.01.010 · Cited by 784 · see citing works
Myelin in the Central Nervous System: Structure, Function, and Pathology
Stadelmann, C., Timmler, S., Barrantes‐Freer, A., & Simons, M. (2019) · Physiological Reviews · doi:10.1152/physrev.00031.2018 · Cited by 735 · see citing works
“A number of such inhibitory molecules such as polysialylated neural cell adhesion molecule (PSA-NCAM) on immature neurons (112), junctional adhesion molecule 2 (JAM2) on the somatodendritic compartment (513), limbic system-associated membrane protein (Lsamp) on neurons of the limbic system (565), and class 3 semaphori…”
BackgroundSelf-citationTAM receptors regulate multiple features of microglial physiology
Fourgeaud, L., Través, P. G., Tufail, Y., Leal-Bailey, H., Lew, E. D., Burrola, P. G., Callaway, P., Zagórska, A., Rothlin, C. V., Nimmerjahn, A., et al. (2016) · Nature · doi:10.1038/nature17630 · Cited by 600 · see citing works
Johnson, E. C. B., Carter, E. K., Dammer, E. B., Duong, D. M., Gerasimov, E. S., Liu, Y., Liu, J., Betarbet, R., Ping, L., Yin, L., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-00999-y · Cited by 561 · see citing works
“For each of the five cell types of interest (endothelia, microglia, astrocyte, neuron and oligodendrocyte), genes from the Sharma et al. list and genes from the Zhang et al. list were joined into one list per cell type.”
Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer’s Disease Progression
Bai, B., Wang, X., Li, Y., Chen, P.-C., Yu, K., Dey, K. K., Yarbro, J. M., Han, X., Lutz, B. M., Rao, S., et al. (2020) · Neuron · doi:10.1016/j.neuron.2019.12.015 · Cited by 632 · see citing works
“, 2016), especially in complex brain tissue (Sharma et al., 2015).”
BackgroundMethodSpatial proteomics: a powerful discovery tool for cell biology
Lundberg, E., & Borner, G. H. H. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0094-y · Cited by 591 · see citing works
Bruderer, R., Bernhardt, O. M., Gandhi, T., Xuan, Y., Sondermann, J. R., Schmidt, M., Gómez‐Varela, D., & Reiter, L. (2017) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra117.000314 · Cited by 479 · see citing works
“(2) were used to generate a spectral library comprising 12,107 mouse proteins.”
BackgroundMethod<i>C9orf72</i> is required for proper macrophage and microglial function in mice
O’Rourke, J. G., Bogdanik, L., Yáñez, A., Lall, D., Wolf, A. J., Muhammad, A. K. M. G., Ho, R., Carmona, S., Vit, J. P., Zarrow, J., et al. (2016) · Science · doi:10.1126/science.aaf1064 · Cited by 550 · see citing works
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“This relationship is not well understood in complex tissues such as brain; mRNA-protein correlation coefficients reach no higher than 0.47 even in acutely isolated brain cell types (Sharma et al., 2015).”
InfluentialTardáguila, M., de la Fuente, L., Martí, C., Pereira, C., Pardo-Palacios, F. J., del Risco, H., Ferrell, M., Mellado-López, M., Macchietto, M. G., Verheggen, K., et al. (2018) · Genome Research · doi:10.1101/gr.222976.117 · Cited by 441 · see citing works
Physiological blood–brain transport is impaired with age by a shift in transcytosis
Yang, A. C., Stevens, M. Y., Chen, M. B., Lee, D. P., Stähli, D., Gate, D., Contrepois, K., Chen, W., Iram, T., Zhang, L., et al. (2020) · Nature · doi:10.1038/s41586-020-2453-z · Cited by 477 · see citing works
Brain Cell Type Specific Gene Expression and Co-expression Network Architectures
McKenzie, A. T., Wang, M., Hauberg, M. E., Fullard, J. F., Kozlenkov, A., Keenan, A., Hurd, Y. L., Dracheva, S., Casaccia, P., Roussos, P., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-27293-5 · Cited by 481 · see citing works
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“not seen in neurons or astrocytes has also been suggested [59, 67] and Bin1 has also been identified as a highly abundant microglial protein in a recent microglial proteome [68] although the exact role of Bin1 in homeostatic microglia and in AD pathogenesis remains unclear.”
BackgroundNeuronal Stimulation Triggers Neuronal Glycolysis and Not Lactate Uptake
Díaz-García, C. M., Mongeon, R., Lahmann, C., Koveal, D., Zucker, H., & Yellen, G. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.06.021 · Cited by 466 · see citing works
“…(Salway, 2004; in neurons, mainly the malate-aspartate shuttle [MAS], McKenna et al., 2006); unbiased proteomics and transcriptomics surveys of central neurons reveal that these are by far the dominant NADH dehydrogenase enzymes in the cytosol (Sharma et al., 2015; Zeisel et al., 2015; Figure S1).”
Chi, H., Liu, C., Yang, H., Zeng, W., Wu, L., Zhou, W., Wang, R., Niu, X.-N., Ding, Y., Zhang, Y., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4236 · Cited by 425 · see citing works
Specification of synaptic connectivity by cell surface interactions
de Wit, J., & Ghosh, A. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn.2015.3 · Cited by 410 · see citing works
Social network architecture of human immune cells unveiled by quantitative proteomics
Rieckmann, J. C., Geiger, R., Hornburg, D., Wolf, T., Kveler, K., Jarrossay, D., Sallusto, F., Shen-Orr, S. S., Lanzavecchia, A., Mann, M., et al. (2017) · Nature Immunology · doi:10.1038/ni.3693 · Cited by 376 · see citing works
Self-citationOntogeny and homeostasis of CNS myeloid cells
Prinz, M., Erny, D., & Hagemeyer, N. (2017) · Nature Immunology · doi:10.1038/ni.3703 · Cited by 391 · see citing works
Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution
Gao, R., Asano, S. M., Upadhyayula, S., Pisarev, I., Milkie, D. E., Liu, T., Singh, V. P., Graves, A. R., Huynh, G. H., Zhao, Y., et al. (2019) · Science · doi:10.1126/science.aau8302 · Cited by 375 · see citing works
Integrated genomics and proteomics define huntingtin CAG length-dependent networks in mice
Langfelder, P., Cantle, J. P., Chatzopoulou, D., Wang, N., Gao, F., Al-Ramahi, I., Lu, X.-H., Ramos, E. M., El-Zein, K., Zhao, Y., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4256 · Cited by 385 · see citing works
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Self-citationMeier, F., Geyer, P. E., Winter, S. V., Cox, J., & Mann, M. (2018) · Nature Methods · doi:10.1038/s41592-018-0003-5 · Cited by 341 · see citing works
Self-citationGlutamate metabolism and recycling at the excitatory synapse in health and neurodegeneration.
Andersen, J. V., Markussen, K., Jakobsen, E., Schousboe, A., Waagepetersen, H., Rosenberg, P., & Aldana, B. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108719 · Cited by 331 · see citing works
“enriched in astrocytes compared to neurons (Aoki et al., 1987; Hull et al., 2018; Lovatt et al., 2007; Sharma et al., 2015; Zaganas et al., 2001).”
Fueling thought: Management of glycolysis and oxidative phosphorylation in neuronal metabolism
Yellen, G. (2018) · Journal of Cell Biology · doi:10.1083/jcb.201803152 · Cited by 371 · see citing works
“Right: Proteomics data (Sharma et al., 2015) from cultured neurons and astrocytes confirm the general pattern from the transcriptomics data.”
BackgroundProtein Quality Control by Molecular Chaperones in Neurodegeneration
Ciechanover, A. J., & Kwon, Y. T. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00185 · Cited by 350 · see citing works
“BBB-permeable Hsp90 inhibitors, 17-AAG and PU-DZ8, were used to decrease the levels of phosphorylated tau in the AD model (Luo et al., 2007) and to inhibit neurodegeneration in a fly HD model (Fujikake et al., 2008).”
BackgroundCell-type-specific profiling of brain mitochondria reveals functional and molecular diversity
Fecher, C., Trovò, L., Müller, S. A., Snaidero, N., Wettmarshausen, J., Heink, S., Ortiz, O., Wagner, I., Kühn, R., Hartmann, J., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0479-z · Cited by 314 · see citing works
Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells
Gupta, I., Collier, P. G., Haase, B., Mahfouz, A., Joglekar, A., Floyd, T., Koopmans, F., Barres, B., Smit, A. B., Sloan, S. A., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4259 · Cited by 343 · see citing works
Beyond the GFAP-Astrocyte Protein Markers in the Brain
Jurga, A. M., Paleczna, M., Kadluczka, J., & Kuter, K. Z. (2021) · Biomolecules · doi:10.3390/biom11091361 · Cited by 319 · see citing works
“Interestingly, AQP4 is not present in oligodendrocytes, which makes it a good glial differentiating factor, but it is also present in ependymal cells and especially highly expressed in Bergmann glia [33].”
BackgroundInfluentialCell-Type- and Brain-Region-Resolved Mouse Brain Lipidome
Fitzner, D., Bader, J. M., Penkert, H., Bergner, C. G., Su, M., Weil, M., Surma, M. A., Mann, M., Klose, C. D., & Simons, M. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108132 · Cited by 280 · see citing works
Self-citationSleep-wake cycles drive daily dynamics of synaptic phosphorylation
Brüning, F., Noya, S. B., Bange, T., Koutsouli, S., Rudolph, J. D., Tyagarajan, S. K., Cox, J., Mann, M., Brown, S. A., & Robles, M. S. (2019) · Science · doi:10.1126/science.aav3617 · Cited by 261 · see citing works
“However, recent advances in MS in combination with spatial isolation methods allow the deep characterization of proteomes from different brain regions and cell populations (4, 5).”
BackgroundSelf-citationRegion and cell-type resolved quantitative proteomic map of the human heart
Doll, S., Dreßen, M., Geyer, P. E., Itzhak, D. N., Braun, C., Doppler, S. A., Meier, F., Deutsch, M.-A., Lahm, H., Lange, R., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01747-2 · Cited by 265 · see citing works
Self-citationProbing the Complexities of Astrocyte Calcium Signaling
Shigetomi, E., Patel, S., & Khakh, B. S. (2016) · Trends in Cell Biology · doi:10.1016/j.tcb.2016.01.003 · Cited by 268 · see citing works
“Notably, recent cell specific proteomics shows that ∼85% of proteins are shared between major brain cell types [63], implying that several plausible Ca2+ sources known to exist in other cell types merit detailed study in astrocytes (Figure 2).”
BackgroundLocal and global influences on protein turnover in neurons and glia
Dörrbaum, A. R., Kochen, L., Langer, J. D., & Schuman, E. M. (2018) · eLife · doi:10.7554/elife.34202 · Cited by 249 · see citing works
Capturing site-specific heterogeneity with large-scale N-glycoproteome analysis
Riley, N. M., Hebert, A. S., Westphall, M. S., & Coon, J. J. (2019) · Nature Communications · doi:10.1038/s41467-019-09222-w · Cited by 239 · see citing works
Astrocytes are necessary for blood–brain barrier maintenance in the adult mouse brain
Heithoff, B. P., George, K. K., Phares, A. N., Zuidhoek, I. A., Muñoz‐Ballester, C., & Robel, S. (2020) · Glia · doi:10.1002/glia.23908 · Cited by 256 · see citing works
“Many factors secreted by cultured astrocytes that were reported to modulate the BBB in vitro, including Sonic hedgehog (Shh), glial-derived neurotrophic factor and angiopoietin, are not present in mature astrocytes in the uninjured brain according to several astrocyte-specific transcriptome and proteome datasets (Ande…”
BackgroundAndersen, J. V., Schousboe, A., & Verkhratsky, A. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102331 · Cited by 259 · see citing works
Ceyzériat, K., Ben Haim, L., Denizot, A., Pommier, D., Matos, M., Guillemaud, O., Palomares, M.-A., Abjean, L., Petit, F., Gipchtein, P., et al. (2018) · Acta Neuropathologica Communications · doi:10.1186/s40478-018-0606-1 · Cited by 256 · see citing works
Kelmer Sacramento, E., Kirkpatrick, J. M., Mazzetto, M., Baumgart, M., Bartolome, A., Di Sanzo, S., Caterino, C., Sanguanini, M., Papaevgeniou, N., Lefaki, M., et al. (2020) · Molecular Systems Biology · doi:10.15252/msb.20209596 · Cited by 236 · see citing works
“To exclude biases deriving from changes in cellular composition of the brain with aging, we analyzed the regulation of established cell markers (Sharma et al , 2015) in the age group comparisons.”
pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning
Zhou, X., Zeng, W., Chi, H., Luo, C., Liu, C., Zhan, J., He, S., & Zhang, Z.-F. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b02566 · Cited by 218 · see citing works
Fard, M. K., van der Meer, F., Sánchez, P., Cantuti-Castelvetri, L., Mandad, S., Jäkel, S., Fornasiero, E. F., Schmitt, S., Ehrlich, M., Starost, L., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aam7816 · Cited by 247 · see citing works
“RESULTS BCAS1 expression identifies newly generated oligodendrocytes We examined our previously generated proteome database for oligodendrocyte specific proteins and noticed that BCAS1 was one of the most enriched proteins in oligodendrocytes (21).”
BackgroundSelf-citationWalking the tightrope: proteostasis and neurodegenerative disease
Yerbury, J. J., Ooi, L., Dillin, A. G., Saunders, D. N., Hatters, D. M., Beart, P. M., Cashman, N. R., Wilson, M. R., & Ecroyd, H. W. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13575 · Cited by 243 · see citing works
A metabolome atlas of the aging mouse brain
Ding, J., Ji, J., Rabow, Z., Shen, T., Folz, J. S., Brydges, C. R., Fan, S., Lu, X., Mehta, S. S., Showalter, M. R., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26310-y · Cited by 221 · see citing works
Transcriptome and translatome co-evolution in mammals
Wang, Z., Leushkin, E. V., Liechti, A., Ovchinnikova, S., Mößinger, K., Brüning, T., Rummel, C., Grützner, F., Cardoso-Moreira, M., Janich, P., et al. (2020) · Nature · doi:10.1038/s41586-020-2899-z · Cited by 183 · see citing works
Large-scale plasma proteomic analysis identifies proteins and pathways associated with dementia risk
Walker, K. A., Chen, J., Zhang, J., Fornage, M., Yang, Y., Zhou, L., Grams, M. E., Tin, A., Daya, N., Hoogeveen, R. C., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00064-0 · Cited by 212 · see citing works
Johnson, E. C. B., Dammer, E. B., Duong, D. M., Yin, L., Thambisetty, M., Troncoso, J. C., Lah, J. J., Levey, A. I., & Seyfried, N. T. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0282-4 · Cited by 225 · see citing works
Regulation of Microglial Functions by Purinergic Mechanisms in the Healthy and Diseased CNS
Illés, P., Rubini, P., Ulrich, H., Zhao, Y., & Tang, Y. (2020) · Cells · doi:10.3390/cells9051108 · Cited by 235 · see citing works
“The activation process can be traced by bulk RNA [59] and single-cell RNA [60] sequencing, as well as by epigenetic [61] and proteomic analyses [16,62].”
BackgroundCell-type-specific metabolic labeling of nascent proteomes in vivo
Alvarez-Castelao, B., Schanzenbächer, C. T., Hanus, C., Glock, C., tom Dieck, S., Dörrbaum, A. R., Bartnik, I., Nassim-Assir, B., Ciirdaeva, E., Mueller, A., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.4016 · Cited by 219 · see citing works
Drago, F., Lombardi, M., Prada, I., Gabrielli, M., Joshi, P., Cojoc, D., Franck, J., Fournier, I., Vizioli, J., & Verderio, C. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00910 · Cited by 185 · see citing works
“…multiple sclerosis (Di Filippo et al., 2016), the Slingshot 3 phosphatase, a protein highly abundant in neurons but also present in microglia (Sharma et al., 2015), and the olfactory receptor Olr262, a G-coupled receptor, which is not expected to be functionally relevant in microglial cells…”
BackgroundInfluentialWingo, A. P., Dammer, E. B., Breen, M. S., Logsdon, B. A., Duong, D. M., Troncosco, J. C., Thambisetty, M., Beach, T. G., Serrano, G. E., Reiman, E. M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09613-z · Cited by 211 · see citing works
Proteome-Wide Evaluation of Two Common Protein Quantification Methods
O’Connell, J. D., Paulo, J. A., O’Brien, J. J., & Gygi, S. P. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00016 · Cited by 174 · see citing works
Shared mechanisms across the major psychiatric and neurodegenerative diseases
Wingo, T. S., Liu, Y., Gerasimov, E. S., Vattathil, S. M., Wynne, M. E., Liu, J., Lori, A., Faundez, V., Bennett, D. A., Seyfried, N. T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31873-5 · Cited by 199 · see citing works
Muraoka, S., DeLeo, A. M., Sethi, M. K., Takamatsu-Yukawa, K., Yang, Z., Ko, J., Hogan, J., Ruan, Z., You, Y., Wang, Y., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12089 · Cited by 189 · see citing works
Muraoka, S., Jedrychowski, M. P., Yanamandra, K., Ikezu, S., Gygi, S. P., & Ikezu, T. (2020) · Cells · doi:10.3390/cells9091959 · Cited by 157 · see citing works
Chang, E. H., Argyelan, M., Aggarwal, M., Chandon, T.-S. S., Karlsgodt, K. H., Mori, S., & Malhotra, A. K. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.068 · Cited by 186 · see citing works
“As full genome (Lein et al., 2007), proteome (Sharma et al., 2015), and connectivity databases (Mitra, 2014; Oh et al., 2014) become widely available, we can begin to integrate 3D brain-wide molecular analyses with these large-scale efforts.”
Brain proteome-wide association study implicates novel proteins in depression pathogenesis
Wingo, T. S., Liu, Y., Gerasimov, E. S., Gockley, J., Logsdon, B. A., Duong, D. M., Dammer, E. B., Lori, A., Kim, P. J., Ressler, K. J., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00832-6 · Cited by 159 · see citing works
Recent progress in mass spectrometry proteomics for biomedical research
Li, X., Wang, W., & Chen, J. (2017) · Science China Life Sciences · doi:10.1007/s11427-017-9175-2 · Cited by 166 · see citing works
Shared proteomic effects of cerebral atherosclerosis and Alzheimer’s disease on the human brain
Wingo, A. P., Fan, W., Duong, D. M., Gerasimov, E. S., Dammer, E. B., Liu, Y., Harerimana, N. V., White, B., Thambisetty, M., Troncoso, J. C., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0635-5 · Cited by 161 · see citing works
You, Y., Muraoka, S., Jedrychowski, M. P., Hu, J., McQuade, A., Young‐Pearse, T. L., Aslebagh, R., Shaffer, S. A., Gygi, S. P., Blurton-Jones, M. M., et al. (2022) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12183 · Cited by 161 · see citing works
“The coloured dots highlight several enriched proteins that are cell type-specific (Sharma et al., 2015) as potential cell type-specific EV marker candidates.”
Rangaraju, S., Dammer, E. B., Raza, S. A., Gao, T., Xiao, H., Betarbet, R. S., Duong, D. M., Webster, J. A., Hales, C. M., Lah, J. J., et al. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0266-4 · Cited by 133 · see citing works
Spatially and cell-type resolved quantitative proteomic atlas of healthy human skin
Dyring‐Andersen, B., Løvendorf, M. B., Coscia, F., Santos, A., Møller, L. B. P., Colaço, A. R., Niu, L., Bzorek, M., Doll, S., Andersen, J. L., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19383-8 · Cited by 158 · see citing works
Self-citationNascent Proteome Remodeling following Homeostatic Scaling at Hippocampal Synapses
Schanzenbächer, C. T., Sambandan, S., Langer, J. D., & Schuman, E. M. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.058 · Cited by 137 · see citing works
“A recent study, for example, identified over 8,000 proteins in each of several different brain areas, including the hippocampus (Sharma et al., 2015).”
Mutant LRRK2 mediates peripheral and central immune responses leading to neurodegeneration in vivo
Kozina, E. A., Sadasivan, S., Jiao, Y., Dou, Y., Ma, Z., Tan, H., Kodali, K., Shaw, T. I., Peng, J., & Smeyne, R. J. (2018) · Brain · doi:10.1093/brain/awy077 · Cited by 137 · see citing works
Lou, R., Cao, Y., Li, S., Lang, X., Li, Y., Zhang, Y., & Shui, W. (2023) · Nature Communications · doi:10.1038/s41467-022-35740-1 · Cited by 143 · see citing works
“We further analyzed the sub-proteome coverage of G protein-coupled receptors which are under-represented in most global proteomic surveys (e.g., 63 and 71 GPCR proteins reported from mouse and human brain tissues, respectively 35,36 ).”
BackgroundZhu, Y., Dou, M., Piehowski, P. D., Liang, Y., Wang, F., Chu, R. K., Chrisler, W. B., Smith, J. N., Schwarz, K. C., Shen, Y., et al. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.tir118.000686 · Cited by 147 · see citing works
“The most abundant proteins, such as Tuba1b, Tubb2a, Actb, Sptan1, Cltc, and Atp5b, were found to have no difference in LFQ intensity, which agrees well with previous findings (45).”
ResultAnalyzing microglial phenotypes across neuropathologies: a practical guide
Schwabenland, M., Brück, W., Priller, J., Stadelmann, C., Lassmann, H., & Prinz, M. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02370-8 · Cited by 149 · see citing works
Fibrillar Aβ triggers microglial proteome alterations and dysfunction in Alzheimer mouse models
Sebastian Monasor, L., Müller, S. A., Colombo, A. V., Tanrioever, G., König, J., Roth, S., Liesz, A., Berghofer, A., Piechotta, A., Prestel, M., et al. (2020) · eLife · doi:10.7554/elife.54083 · Cited by 147 · see citing works
Enzymatic Dissociation Induces Transcriptional and Proteotype Bias in Brain Cell Populations
Mattei, D., Ivanov, A., van Oostrum, M., Pantelyushin, S., Richetto, J., Mueller, F., Beffinger, M., Schellhammer, L., vom Berg, J., Wollscheid, B., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21217944 · Cited by 123 · see citing works
A multiregional proteomic survey of the postnatal human brain
Carlyle, B. C., Kitchen, R. R., Kanyo, J. E., Voss, E. Z., Pletikos, M., Sousa, A. M. M., Lam, T. T., Gerstein, M. B., Sestan, N., & Nairn, A. C. (2017) · Nature Neuroscience · doi:10.1038/s41593-017-0011-2 · Cited by 143 · see citing works
Gryglewski, G., Seiger, R., James, G. M., Godbersen, G. M., Komorowski, A., Unterholzner, J., Michenthaler, P., Hahn, A., Wadsak, W., Mitterhauser, M., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.068 · Cited by 112 · see citing works
Quantitative proteomics reveals distinct composition of amyloid plaques in Alzheimer’s disease
Xiong, F., Ge, W., & Ma, C. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.10.006 · Cited by 133 · see citing works
“The development of a systematic understanding of complex cellular and molecular events can be greatly facilitated by comprehensive proteomic analyses [15,16].”
BackgroundEnzymatic dissociation induces transcriptional and proteotype bias in brain cell populations
Mattei, D., Ivanov, A., van Oostrum, M., Pantelyushin, S., Richetto, J., Mueller, F., Beffinger, M. M., Schellhammer, L., vom Berg, J., Wollscheid, B., et al. (2020) · doi:10.1101/2020.05.14.095422 · Cited by 143 · see citing works
Ca2+transients in astrocyte fine processes occur via Ca2+influx in the adult mouse hippocampus
Rungta, R. L., Bernier, L., Dissing‐Olesen, L., Groten, C. J., LeDue, J. M., Ko, R. W. Y., Drissler, S., & MacVicar, B. A. (2016) · Glia · doi:10.1002/glia.23042 · Cited by 130 · see citing works
“…Inc. 2093 Additionally, given the vast transcriptional and protein expression profile of multiple channels, transporters and receptors in astrocytes (Holtman et al., 2015; Sharma et al., 2015; Zhang et al., 2014), intracellular Ca21 fluctuations are likely governed by multiple signaling pathways.”
BackgroundHosp, F., Gutiérrez-Ángel, S., Schaefer, M. H., Cox, J., Meissner, F., Hipp, M. S., Hartl, F. U., Klein, R., Dudanova, I., & Mann, M. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.10.097 · Cited by 117 · see citing works
“Spatiotemporal Brain Proteome Resource of WildType Mice Recently, we compiled an in-depth cell-type- and region-specific proteomic catalog of the adult mouse brain with a depth of 13,000 proteins (Sharma et al., 2015).”
BackgroundMethodInfluentialSelf-citationFunctions of ‘A disintegrin and metalloproteases (ADAMs)’ in the mammalian nervous system
Hsia, H., Tüshaus, J., Brummer, T., Zheng, Y., Scilabra, S. D., & Lichtenthaler, S. F. (2019) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03173-7 · Cited by 133 · see citing works
Unconventional secretory processing diversifies neuronal ion channel properties
Hanus, C., Geptin, H., Tushev, G., Garg, S., Alvarez‐Castelao, B., Sambandan, S., Kochen, L., Hafner, A., Langer, J. D., & Schuman, E. M. (2016) · eLife · doi:10.7554/elife.20609 · Cited by 125 · see citing works
“To compare our dataset to the full hippocampal proteome, we selected proteins identified by 566 both mass spectrometry (59) and mRNA deep sequencing in mouse hippocampi (60), yielding 567 19690 proteins.”
MethodShiow, L. R., Favrais, G., Schirmer, L., Schang, A., Cipriani, S., Andres, C., Wright, J. N., Nobuta, H., Fleiss, B., Gressens, P., et al. (2017) · Glia · doi:10.1002/glia.23212 · Cited by 130 · see citing works
“RNA transcriptome profiling of cellular subsets in culture (Sharma et al., 2015) and from the postnatal mouse cortex (Zhang et al.”
BackgroundDiversity of transcriptomic microglial phenotypes in aging and Alzheimer's disease
Boche, D., & Gordon, M. N. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12389 · Cited by 117 · see citing works
Fairley, L. H., Lai, K. O., Wong, J. H., Chong, W. J., Vincent, A. S., D’Agostino, G. A., Wu, X., Naik, R. R., Jayaraman, A., Langley, S. R., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2209177120 · Cited by 127 · see citing works
“The vacuolar ATPase node involved in phagosome acidification contained proteins that have previously been identified as microglial enriched relative to other brain cells (Atp6v1a, Atp6v1b2, Atp6v0a1, and Atp6v1c1) (28).”
BackgroundItzhak, D. N., Davies, C. T. R., Tyanova, S., Mishra, A., Williamson, J. C., Antrobus, R., Cox, J., Weekes, M. P., & Borner, G. H. H. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.08.063 · Cited by 113 · see citing works
“As expected, the plasma membrane composition was radically different, both qualitatively and quantitatively, supporting the notion that the cell surface is a key factor in determining cellular identity (Sharma et al., 2015).”
BackgroundSelf-citationIn vivo brain GPCR signaling elucidated by phosphoproteomics
Liu, J. J., Sharma, K., Zangrandi, L., Chen, C., Humphrey, S. J., Chiu, Y.-T., Spetea, M., Liu‐Chen, L., Schwarzer, C., & Mann, M. (2018) · Science · doi:10.1126/science.aao4927 · Cited by 118 · see citing works
“In particular, expression levels of kinases (32) (the “kinome”) correlated significantly with the abundance of phosphopeptides containing the corresponding linear motifs (Fig.”
BackgroundSelf-citationZhang, Q., Ma, C., Chin, L., & Li, L. (2020) · Science Advances · doi:10.1126/sciadv.abc5802 · Cited by 127 · see citing works
Pigoni, M., Wanngren, J., Kuhn, P.-H., Munro, K. M., Gunnersen, J. M., Takeshima, H., Feederle, R., Voytyuk, I., De Strooper, B., Levasseur, M. D., et al. (2016) · Molecular Neurodegeneration · doi:10.1186/s13024-016-0134-z · Cited by 125 · see citing works
“Hephaestin is known to be expressed in the brain [45].”
BackgroundFrequency of nuclear mutant huntingtin inclusion formation in neurons and glia is cell‐type‐specific
Jansen, A. H. P., van Hal, M., den Kelder, I. C. O., Meier, R. T., Ruiter, A. A. D., Schut, M. H., Smith, D. L., Grit, C., Brouwer, N., Kamphuis, W., et al. (2016) · Glia · doi:10.1002/glia.23050 · Cited by 124 · see citing works
“Volcano plot analysis of proteomics data of Sharma et al. 2015 The Volcano plots (Supp.”
BackgroundMethodResultInfluentialViader, A., Ogasawara, D., Joslyn, C. M., Sánchez-Alavez, M., Mori, S., Nguyen, W., Conti, B., & Cravatt, B. F. (2016) · eLife · doi:10.7554/elife.12345 · Cited by 109 · see citing works
“…Zhang et al., 2014) and proteomic studies (Yu et al., 2004, Yang et al., 2005, Glanzer et al., 2007, Liao et al., 2008, Bell-Temin et al., 2012, Sharma et al., 2015) performed on isolated brain cells have provided valuable insights into the unique molecular makeup of different brain cell…”
BackgroundSystems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
Rayaprolu, S., Higginbotham, L., Bagchi, P., Watson, C. M., Zhang, T., Levey, A. I., Rangaraju, S., & Seyfried, N. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-00840-3 · Cited by 118 · see citing works
Spatial and temporal diversity of glycome expression in mammalian brain
Lee, J., Ha, S., Kim, M., Kim, S.-W., Yun, J., Özcan, S., Hwang, H., Ji, I. J., Yin, D., Webster, M. J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014207117 · Cited by 115 · see citing works
BIN1 is a key regulator of proinflammatory and neurodegeneration-related activation in microglia
Sudwarts, A., Ramesha, S., Gao, T., Ponnusamy, M., Wang, S., Hansen, M. T., Kozlova, A., Bitarafan, S., Kumar, P., Beaulieu‐Abdelahad, D., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00535-x · Cited by 107 · see citing works
“(B) Comparison of protein abundance data (log2 transformed abundance values from label‐free quantitative studies) from purified mouse neural cell types [20].”
BackgroundRayaprolu, S., Bitarafan, S., Santiago, J. V., Betarbet, R. S., Sunna, S. N., Cheng, L., Xiao, H., Nelson, R. S., Kumar, P., Bagchi, P., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30623-x · Cited by 109 · see citing works
Somatodendritic Expression of JAM2 Inhibits Oligodendrocyte Myelination
Redmond, S., Mei, F., Eshed‐Eisenbach, Y., Osso, L. A., Leshkowitz, D., Shen, Y. A., Kay, J. N., Aurrand‐Lions, M., Lyons, D. A., Peles, E., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.07.021 · Cited by 106 · see citing works
“In contrast, previously described inhibitors of axonal myelination negatively affect oligodendroglial cell adhesion in vitro and/or oligodendrocyte differentiation in vitro and in vivo (e.g., LINGO-1, LSAMP) (Lee et al., 2007; Mi et al., 2005; Sharma et al., 2015).”
Motori, E., Atanassov, I., Kochan, S. M. V., Folz‐Donahue, K., Sakthivelu, V., Giavalisco, P., Toni, N., Puyal, J., & Larsson, N. (2020) · Science Advances · doi:10.1126/sciadv.aba8271 · Cited by 93 · see citing works
Batiuk, M. Y., de Vin, F., Duqué, S. I., Li, C., Saito, T., Saido, T. C., Fiers, M. W. E. J., Belgard, T. G., & Holt, M. G. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.765313 · Cited by 100 · see citing works
Sapkota, D., Lake, A. M., Yang, W., Yang, C., Wesseling, H., Guise, A. J., Uncu, C., Dalal, J. S., Kraft, A. W., Lee, J., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2018.12.077 · Cited by 111 · see citing works
“We then resorted to mouse brain MS data from others (Sharma et al., 2015), and could detect readthrough peptides for Aqp4, Ttr (transthyretin), and Map1lc3a (microtubule-associated protein 1 light chain 3 alpha) (Figure S3).”
BackgroundMethodDauth, S., Maoz, B. M., Sheehy, S. P., Hemphill, M. A., Murty, T., Macedonia, M. K., Greer, A. M., Budnik, B., & Parker, K. K. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00575.2016 · Cited by 110 · see citing works
“There have been studies reporting the presence of several proteins in different brain regions in vivo (Katagiri et al. 2010; Sharma et al. 2015; Taraslia et al. 2013), as well as one comprehensive quantitative analysis of gene expression in different brain regions of the mouse brain (Kasukawa et…”
BackgroundRinschen, M. M., Gödel, M., Grahammer, F., Zschiedrich, S., Helmstädter, M., Kretz, O., Zarei, M., Braun, D. A., Dittrich, S., Pahmeyer, C., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.04.059 · Cited by 105 · see citing works
“, 2011), and a similar number of proteins has been shown to be expressed in native neurons (Sharma et al., 2015).”
Background
- Authors
- Sharma, K., Schmitt, S., Bergner, C. G., Tyanova, S., Kannaiyan, N., Manrique-Hoyos, N., Kongi, K., Cantuti, L., Hanisch, U.-K., Philips, M.-A., Rossner, M. J., Mann, M., & Simons, M.
- Affiliations
- Max Planck Institute of Biochemistry (DE)
- Max Planck Institute of Experimental Medicine (DE)
- Ludwig-Maximilians-Universität München (DE)
- University of Tartu (EE)
- University of Göttingen (DE)
- Corresponding author
- Mann, Matthias
- Simons, Mikael
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2015-11-02
- Volume
- 18
- Issue
- 12
- Pages
- 1819-1831
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC7116867
- OpenAlex
- W1955394435
- Cited by
- 871
- References
- 61
- Citations by year
- 2026: 41 · 2025: 54 · 2024: 73 · 2023: 84 · 2022: 87 · 2021: 77 · 2020: 92 · 2019: 81 · 2018: 85 · 2017: 65 · 2016: 44 · 2015: 1
- FWCI
- 28.41
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- GRO (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Keywords
- oligodendrocytes, astrocytes, microglia, cortical neurons, cell surface proteins, adhesion molecules, LSAMP, myelination
- MeSH terms
- Animals, Brain, Humans, Male, Mice, Inbred C57BL, Neurons
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