Single-cell analysis tools for drug discovery and development

Hallmarks of Cancer: The Next Generation

Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590

Electrophoretic transfer of proteins from polyacrylamide gels to nitrocellulose sheets: procedure and some applications.

Towbin, H., Staehelin, T., & Gordon, J. (1979) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.76.9.4350 · Cited by 53,218

Short-Term Effects of Nose-Only Cigarette Smoke Exposure on Glutathione Redox Homeostasis, Cytochrome P450 1A1/2 and Respiratory Enzyme Activities in Mice Tissues

Raza, H., John, A., & Nemmar, A. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350087 · Cited by 47,311

Microenvironmental regulation of tumor progression and metastasis

Quail, D. F., & Joyce, J. A. (2013) · Nature Medicine · doi:10.1038/nm.3394 · Cited by 7,994

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

The Cancer Genome Atlas Research Network (2008) · Nature · doi:10.1038/nature07385 · Cited by 7,735

Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.

Macosko, E. Z., Basu, A., Satija, R., Nemesh, J., Shekhar, K., Goldman, M., Tirosh, I., Bialas, A. R., Kamitaki, N., Martersteck, E. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.002 · Cited by 7,110

The Clonal Evolution of Tumor Cell Populations: Acquired genetic lability permits stepwise selection of variant sublines and underlies tumor progression.

Nowell, P. C. (1976) · Science · doi:10.1126/science.959840 · Cited by 6,471

Stochastic Gene Expression in a Single Cell

Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

Patel, A. P., Tirosh, I., Trombetta, J. J., Shalek, A. K., Gillespie, S. M., Wakimoto, H., Cahill, D. P., Nahed, B. V., Curry, W. T., Martuza, R. L., et al. (2014) · Science · doi:10.1126/science.1254257 · Cited by 5,063

The Somatic Genomic Landscape of Glioblastoma

Brennan, C. W., Verhaak, R. G. W., McKenna, A., Campos, B., Noushmehr, H., Salama, S. R., Zheng, S., Chakravarty, D., Sanborn, J. Z., Berman, S. H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.09.034 · Cited by 5,016

Integrated Angle-Insensitive Nanoplasmonic Filters for Ultraminiaturized Fluorescence Microarray in a 65 nm Digital CMOS Process

Hong, L., Li, H., Yang, H., & Sengupta, K. (2018) · ACS Photonics · doi:10.1021/acsphotonics.8b00440 · Cited by 25

Magnetomicrofluidic Platforms for Organizing Arrays of Single-Particles and Particle-Pairs

Abedini‐Nassab, R. (2019) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2019.2912649 · Cited by 24

Unravelling HIV-1 Latency, One Cell at a Time

Kok, Y. L., Ciuffi, A., & Metzner, K. J. (2017) · Trends in Microbiology · doi:10.1016/j.tim.2017.06.002 · Cited by 22

Single-cell analysis on stromal fibroblasts in the microenvironment of solid tumours

Musa, M. (2020) · Advances in Medical Sciences · doi:10.1016/j.advms.2019.12.001 · Cited by 23

Single-Cell Proteomics: Technology and Applications

Minakshi, P., Kumar, R., Ghosh, M., Saini, H. M., Ranjan, K., Brar, B., & Prasad, G. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814919-5.00014-2 · Cited by 25

The road ahead: Implementing mass cytometry in clinical studies, one cell at a time

Baca, Q. J., Cosma, A., Nolan, G. P., & Gaudilliere, B. L. (2016) · Cytometry Part B Clinical Cytometry · doi:10.1002/cyto.b.21497 · Cited by 23

Liquid-phase electron microscopy of molecular drug response in breast cancer cells reveals irresponsive cell subpopulations related to lack of HER2 homodimers

Peckys, D. B., Korf, U., Wiemann, S., & de Jonge, N. (2017) · Molecular Biology of the Cell · doi:10.1091/mbc.e17-06-0381 · Cited by 22

Single-Cell Multimodal Analytical Approach by Integrating Raman Optical Tweezers and RNA Sequencing

Fang, T., Shang, W., Liu, C. X., Liu, Y., & Ye, A. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c00912 · Cited by 20

A high-throughput technique to map cell images to cell positions using a 3D imaging flow cytometer

Zhang, Z., Tang, R. H., Chen, X., Waller, L., Kau, A., Fung, A. A., Gutierrez, B., An, C., Cho, S. H., Shi, L., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2118068119 · Cited by 23

Single-Cell Sequencing and Its Applications in Liver Cancer

Tian, B., & Li, Q. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.857037 · Cited by 23

Selective detection of phospholipids in human blood plasma and single cells for cancer differentiation using dispersed solid-phase microextraction combined with extractive electrospray ionization mass spectrometry

Zhang, H., Lu, H., Huang, K., Li, J., Wei, F., Liú, À., Chingin, K., & Chen, H. (2020) · The Analyst · doi:10.1039/d0an01204a · Cited by 22

High-Resolution Bacterial Cytological Profiling Reveals Intrapopulation Morphological Variations upon Antibiotic Exposure

Samernate, T., Htoo, H. H., Sugie, J., Chavasiri, W., Pogliano, J., Chaikeeratisak, V., & Nonejuie, P. (2023) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01307-22 · Cited by 21

Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous Tumors

Zhang, W., Maeser, D., Lee, A. M., Huang, Y., Gruener, R. F., Abdelbar, I. G., Jena, S., Patel, A. G., & Huang, R. S. (2024) · Cancer Research · doi:10.1158/0008-5472.can-23-3005 · Cited by 24

Thermal scribing to prototype plastic microfluidic devices, applied to study the formation of neutrophil extracellular traps

Chandrasekaran, A., Kalashnikov, N., Rayes, R. F., Wang, C., Spicer, J. D., & Moraes, C. (2017) · Lab on a Chip · doi:10.1039/c7lc00356k · Cited by 20

Pushing the limits of detection for proteins secreted from single cells using quantum dots

Herrera, V., Hsu, S.-C. J., Rahim, M. K., Chen, C. C. L., Nguyen, L., Liu, W. F., & Haun, J. B. (2018) · The Analyst · doi:10.1039/c8an01083h · Cited by 22

Combined Scaffold Evaluation and Systems‐Level Transcriptome‐Based Analysis for Accelerated Lead Optimization Reveals Ribosomal Targeting Spirooxindole Cyclopropanes

Rodriguez, K. X., Howe, E. N., Bacher, E. P., Burnette, M. D., Meloche, J. L., Meisel, J. E., Schnepp, P. M., Tan, X., Chang, M., Zartman, J. J., et al. (2019) · ChemMedChem · doi:10.1002/cmdc.201900266 · Cited by 21

Precision cardiovascular medicine: shifting the innovation paradigm

Aikawa, M., Sonawane, A. R., Chelvanambi, S., Asano, T., Halu, A., Matamalas, J. T., Singh, S. A., Uchida, S., Aïkawa, E., Arenas, À., et al. (2025) · Frontiers in Science · doi:10.3389/fsci.2025.1474469 · Cited by 24

Quantitative Approach for Protein Analysis in Small Cell Ensembles by an Integrated Microfluidic Chip with MALDI Mass Spectrometry

Yang, M., Villarreal, J. C., Ariyasinghe, N., Kruithoff, R., Ros, R., & Ros, A. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.0c04112 · Cited by 20

Industrializing AI-powered drug discovery: lessons learned from the Patrimony computing platform

Guedj, M., Swindle, J., Hamon, A., Hubert, S., Desvaux, E., Laplume, J., Xuereb, L., Lefèbvre, C., Haudry, Y., Gabarroca, C., et al. (2022) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2022.2095368 · Cited by 23

Selective Endocytic Uptake of Targeted Liposomes Occurs within a Narrow Range of Liposome Diameters

Ashby, G., Keng, K. E., Hayden, C. C., Gollapudi, S., Houser, J. R., Jamal, S., & Stachowiak, J. C. (2023) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.3c09399 · Cited by 21

Immune cell type, cell activation, and single cell heterogeneity revealed by label-free optical methods

Pavillon, N., & Smith, N. I. (2019) · Scientific Reports · doi:10.1038/s41598-019-53428-3 · Cited by 19

Phenotype-related drug sensitivity analysis of single CTCs for medicine evaluation

Pei, H., Yu, M., Dong, D., Wang, Y., Li, Q., Li, L., & Tang, B. (2020) · Chemical Science · doi:10.1039/c9sc05566e · Cited by 20

Longitudinal Multiplexed Measurement of Quantitative Proteomic Signatures in Mouse Lymphoma Models Using Magneto-Nanosensors

Lee, J., Appelmann, I., Miething, C., Shultz, T. O., Ruderman, D., Kim, D., Mallick, P., Lowe, S. W., & Wang, S. X. (2018) · Theranostics · doi:10.7150/thno.20706 · Cited by 18

Monolithic hydrogel nanowells-in-microwells enabling simultaneous single cell secretion and phenotype analysis

Choi, J. R., Lee, J. H., Xu, A., Matthews, K., Xie, S., Duffy, S. P., & Ma, H. (2020) · Lab on a Chip · doi:10.1039/d0lc00965b · Cited by 19

Multi‐Targeting Nano‐Systems Targeting Heterogeneous Cancer Cells for Therapeutics and Biomarker Detection

Ren, X., Han, D., He, X., Guo, T., Chen, X., Pang, X., & Cheng, S. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202202155 · Cited by 19

Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing

Jeon, H.-J., Lim, H. G., Shung, K. K., Lee, O., & Kim, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-22075-6 · Cited by 19

Opportunities and Challenges in Implementation of Multiparameter Single Cell Analysis Platforms for Clinical Translation

Keating, S. M., Taylor, D. L., Plant, A. L., Litwack, E. D., Kühn, P., Greenspan, E. J., Hartshorn, C. M., Sigman, C. C., Kelloff, G. J., Chang, D. D., et al. (2018) · Clinical and Translational Science · doi:10.1111/cts.12536 · Cited by 19

Nano-plasmonics and electronics co-integration in CMOS enabling a pill-sized multiplexed fluorescence microarray system

Hong, L., Li, H., Yang, H., & Sengupta, K. (2018) · Biomedical Optics Express · doi:10.1364/boe.9.005735 · Cited by 19

Laser capture microdissection–targeted mass spectrometry: a method for multiplexed protein quantification within individual layers of the cerebral cortex

MacDonald, M. L., Favo, D., Garver, M. E., Sun, Z., Arion, D., Ding, Y., Yates, N. A., Sweet, R. A., & Lewis, D. A. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0260-0 · Cited by 20

Cell Type–Specific Decomposition of Gingival Tissue Transcriptomes

Momen‐Heravi, F., Friedman, R. A., Albeshri, S., Sawle, A., Kebschull, M., Kuhn, A., & Papapanou, P. N. (2021) · Journal of Dental Research · doi:10.1177/0022034520979614 · Cited by 19

Precision medicine in allergic disease—food allergy, drug allergy, and anaphylaxis— PRACTALL document of the European Academy of Allergy and Clinical Immunology and the American Academy of Allergy, Asthma and Immunology

Muraro, A., Lemanske, R. F., Castells, M., Torres, M., Khan, D., Simon, H. ‐., Bindslev-Jensen, C., Burks, W., Poulsen, L. K., Sampson, H. A., et al. (2017) · Allergy · doi:10.1111/all.13132 · Cited by 192

High-selectivity cytology via lab-on-a-disc western blotting of individual cells

Kim, J. J., Sinkala, E., & Herr, A. E. (2017) · Lab on a Chip · doi:10.1039/c6lc01333c · Cited by 18

Laser Capture Microdissection: A Gear for Pancreatic Cancer Research

Rao, B. H., Souček, P., & Hlaváč, V. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232314566 · Cited by 19

Exceeding 80% Efficiency of Single-Bead Encapsulation in Microdroplets through Hydrogel Coating-Assisted Close-Packed Ordering

Chen, L., Zhao, Y., Li, J., Xiong, C., Xu, Y., Tang, C., Zhang, R., Zhang, J., Mi, X., & Liu, Y. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.3c00425 · Cited by 18

An analysis of trends in the use of animal and non-animal methods in biomedical research and toxicology publications

Taylor, K., Modi, S., & Bailey, J. (2024) · Frontiers in Lab on a Chip Technologies · doi:10.3389/frlct.2024.1426895 · Cited by 18

Omics studies for comprehensive understanding of immunoglobulin A nephropathy: state-of-the-art and future directions

Schena, F. P., Serino, G., Sallustio, F., Falchi, M., & Cox, S. N. (2018) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfy130 · Cited by 18

Dupuytren's disease: a localised and accessible human fibrotic disorder

Layton, T. B., Williams, L. M., & Nanchahal, J. (2022) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2022.12.001 · Cited by 17

Peptide–Au Cluster Probe: Precisely Detecting Epidermal Growth Factor Receptor of Three Tumor Cell Lines at a Single-Cell Level

Zhai, J., Zhao, L., Zheng, L., Gao, F., Gao, L., Liu, R., Wang, Y., & Gao, X. (2017) · ACS Omega · doi:10.1021/acsomega.6b00390 · Cited by 17

Aqueous Processed Biopolymer Interfaces for Single-Cell Microarrays

Ferrara, V., Zito, G., Arrabito, G., Cataldo, S., Scopelliti, M., Giordano, C. S. D. S., Vetri, V., & Pignataro, B. (2020) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.9b01871 · Cited by 17

Single-Cell Receptor Quantification of an In Vitro Coculture Angiogenesis Model Reveals VEGFR, NRP1, Tie2, and PDGFR Regulation and Endothelial Heterogeneity

Chen, S., & Imoukhuede, P. I. (2019) · Processes · doi:10.3390/pr7060356 · Cited by 16

Mechanism of action of paclitaxel for treating glioblastoma based on single-cell RNA sequencing data and network pharmacology

Lu, J., Xu, F., Rao, C., Shen, C., Jin, J., Zhu, Z., Wang, C., & Li, Q. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1076958 · Cited by 16

Nanosensor Chemical Cytometry: Advances and Opportunities in Cellular Therapy and Precision Medicine

Song, Y., Tian, C., Lee, Y., Yoon, M., Yoon, S. E., & Cho, S. (2023) · ACS Measurement Science Au · doi:10.1021/acsmeasuresciau.3c00038 · Cited by 16

A high‐throughput all‐optical laser‐scanning imaging flow cytometer with biomolecular specificity and subcellular resolution

Yan, W., Wu, J., Wong, K. K. Y., & Tsia, K. K. (2017) · Journal of Biophotonics · doi:10.1002/jbio.201700178 · Cited by 16

Knowledge-based classification of fine-grained immune cell types in single-cell RNA-Seq data

Liu, X., Gosline, S. J. C., Pflieger, L. T., Wallet, P., Iyer, A., Guinney, J., Bild, A. H., & Chang, J. T. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab039 · Cited by 16

Proliferatins suppress lipopolysaccharide-induced inflammation via inhibition of the NF-κB and MAPK signaling pathways

Kuang, Q.-X., Li, Q.-Z., Lei, L.-R., Wang, Y., Huang, L.-J., Dai, Y., Peng, W., Zhang, M., Wang, D., Gu, Y., et al. (2022) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2022.105810 · Cited by 16

High-resolution imaging of protein secretion at the single-cell level using plasmon-enhanced FluoroDOT assay

Seth, A., Mittal, E., Luan, J., Kolla, S., Mazer, M. B., Joshi, H. P., Gupta, R., Rathi, P., Wang, Z., Morrissey, J. J., et al. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100267 · Cited by 16

Ultrasensitive detection of nonlabelled bovine serum albumin using photothermal optical phase shift detection with UV excitation

Shimizu, H., Takeda, S., Mawatari, K., & Kitamori, T. (2020) · The Analyst · doi:10.1039/d0an00037j · Cited by 16

Correlating single-molecule characteristics of the yeast aquaglyceroporin Fps1 with environmental perturbations directly in living cells

Shashkova, S., Andersson, M., Hohmann, S., & Leake, M. C. (2020) · Methods · doi:10.1016/j.ymeth.2020.05.003 · Cited by 16

Cyt‐Geist: Current and Future Challenges in Cytometry: Reports of the CYTO 2019 Conference Workshops

Czechowska, K., Lannigan, J. A., Aghaeepour, N., Back, J. B., Begum, J., Behbehani, G. K., Bispo, C., Bitoun, D., Fernández, A. B., Boova, S. T., et al. (2019) · Cytometry Part A · doi:10.1002/cyto.a.23941 · Cited by 15

Optimization of Mechanical Tissue Dissociation Using an Integrated Microfluidic Device for Improved Generation of Single Cells Following Digestion

Aliaghaei, M., & Haun, J. B. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.841046 · Cited by 15

An updated landscape of cellular senescence heterogeneity: Mechanisms, technologies and senotherapies

Sun, Y. (2023) · Translational Medicine of Aging · doi:10.1016/j.tma.2023.06.001 · Cited by 15

Design of five‐layer gold nanoparticles self‐assembled in a liquid open tubular column for ultrasensitive nano‐LC‐MS/MS proteomic analysis of 80 living cells

Shao, X., & Zhang, X. (2017) · PROTEOMICS · doi:10.1002/pmic.201600463 · Cited by 15

New genetic tools for the in vivo study of hematopoietic stem cell function

Upadhaya, S., Reizis, B., & Sawai, C. M. (2018) · Experimental Hematology · doi:10.1016/j.exphem.2018.02.004 · Cited by 15

Cyclic microchip assay for measurement of hundreds of functional proteins in single neurons

Yang, L., Ball, A., Liu, J. J., Jain, T., Li, Y., Akhter, F., Zhu, D., & Wang, J. (2022) · Nature Communications · doi:10.1038/s41467-022-31336-x · Cited by 14

Omics-based molecular techniques in oral pathology centred cancer: prospect and challenges in Africa

Adeola, H. A., Soyele, O. O., Adefuye, A. O., Jimoh, S. A., & Butali, A. (2017) · Cancer Cell International · doi:10.1186/s12935-017-0432-8 · Cited by 15

Dynamic fluorescent imaging analysis of mitochondrial redox in single cells with a microfluidic device

Li, Q., Li, W., Cui, S., Sun, Q., Si, H., Chen, Z., Xu, K., Li, L., & Tang, B. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.01.005 · Cited by 15

Development of multifunctional nanopipettes for controlled intracellular delivery and single-entity detection

Pandey, P., Rubfiaro, A. S., Khatri, S., & He, J. M. (2021) · Faraday Discussions · doi:10.1039/d1fd00057h · Cited by 14

Single-cell technologies for profiling T cells to enable monitoring of immunotherapies

An, X., & Varadarajan, N. (2018) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2018.01.003 · Cited by 14

A platform for high-throughput bioenergy production phenotype characterization in single cells

Kelbauskas, L., Glenn, H. L., Anderson, C., Messner, J., Lee, K. B., Song, G., Houkal, J., Su, F., Zhang, L., Tian, Y., et al. (2017) · Scientific Reports · doi:10.1038/srep45399 · Cited by 14

A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering

Xu, Y., Li, H., Pan, Y. F., Luo, F., Wu, F., & Wang, J. (2019) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2019.2931582 · Cited by 14

Exploring the Extent of Phosphorus and Heavy Metal Uptake by Single Cells of Saccharomyces cerevisiae and Their Effects on Intrinsic Elements by SC-ICP-TOF-MS

Qin, W., Stärk, H., Müller, S., & Reemtsma, T. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.870931 · Cited by 13

Characterization and identification of cell death dynamics by quantitative phase imaging

Hsieh, H.-C., Lin, P.-T., & Sung, K. (2022) · Journal of Biomedical Optics · doi:10.1117/1.jbo.27.4.046502 · Cited by 13

Emerging single-cell technologies for functional proteomics in oncology

Wang, J., & Yang, F. (2016) · Expert Review of Proteomics · doi:10.1080/14789450.2016.1215920 · Cited by 13

Stand-Sit Microchip for High-Throughput, Multiplexed Analysis of Single Cancer Cells

Ramirez, L. M., Herschkowitz, J. I., & Wang, J. (2016) · Scientific Reports · doi:10.1038/srep32505 · Cited by 13

The Trends of Single‐Cell Analysis: A Global Study

Tian, H., Liu, H., Zhu, Y., Xing, D., & Wang, B. (2020) · BioMed Research International · doi:10.1155/2020/7425397 · Cited by 13

Microfluidics for Cancer Biomarker Discovery, Research, and Clinical Application

Žvirblytė, J., & Mažutis, L. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-04039-9_20 · Cited by 13

Modeling of Nanotherapy Response as a Function of the Tumor Microenvironment: Focus on Liver Metastasis

Frieboes, H. B., Raghavan, S. A., & Godin, B. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.01011 · Cited by 13

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model AbilitiesPreprint

Choi, H., Park, J., Kim, S., Kim, J., Lee, D., Bae, S., Shin, H., & Lee, D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.08.593094 · Cited by 13

Unravelling lipid heterogeneity: Advances in single-cell lipidomics in cellular metabolism and disease

Sarkar, S., & Ghosh, R. (2025) · BBA Advances · doi:10.1016/j.bbadva.2025.100169 · Cited by 16

Systems immunology spanning tumors, lymph nodes, and periphery

Sidiropoulos, D. N., Ho, W. J., Jaffee, E. M., Kagohara, L. T., & Fertig, E. J. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100670 · Cited by 12

Analysis of cellular response to drugs with a microfluidic single-cell platform based on hyperspectral imaging

Liu, L., Zhang, L., Zhang, X., Dong, X., Jiang, X., Huang, X., Li, W., Xie, X., & Qiu, X. (2023) · Analytica Chimica Acta · doi:10.1016/j.aca.2023.342158 · Cited by 14

The Application of Single-Cell RNA Sequencing in Mammalian Meiosis Studies

Peng, Y., & Qiao, H. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.673642 · Cited by 12

Multiplexed Single-Cell Plasmonic Immunoassay of Intracellular Signaling Proteins Enables Non-Destructive Monitoring of Cell Fate

Wen, Y., Zhao, J., He, H., Zhao, Q., & Liu, Z. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c03062 · Cited by 12

Nano Endoscopy with Plasmon-Enhanced Fluorescence for Sensitive Sensing Inside Ultrasmall Volume Samples

Yuan, H., Liu, J., Lu, Y., Wang, Z., Wei, G., Wu, T., Ye, G., Chen, J., Zhang, S., & Zhang, X. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.6b03876 · Cited by 12

The emerging role of nanomaterials in immunological sensing — a brief review

Corrie, S. R., & Plebanski, M. (2018) · Molecular Immunology · doi:10.1016/j.molimm.2017.12.017 · Cited by 12

Design and Application of Sensors for Chemical Cytometry

Vickerman, B. M., Anttila, M. M., Petersen, B. V., Allbritton, N. L., & Lawrence, D. S. (2018) · ACS Chemical Biology · doi:10.1021/acschembio.7b01009 · Cited by 12

Label-free Raman spectroscopy monitoring of cytotoxic response induced by a telomerase inhibitor

Xu, N., Zhu, P., Liang, J., Liu, L., Zhang, W., Li, X., & He, Y. (2019) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2019.03.146 · Cited by 12

Translating Cancer Molecular Variability into Personalized Information Using Bulk and Single Cell Approaches

Kravchenko‐Balasha, N. (2020) · PROTEOMICS · doi:10.1002/pmic.201900227 · Cited by 12

On-chip protein separation with single-molecule resolution

Zrehen, A., Ohayon, S., Huttner, D., & Meller, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-72463-z · Cited by 12

Capillary-Mediated Single-Cell Dispenser

Wu, L. J., Xu, S., Wang, J., Paguirigan, A. L., Radich, J. P., Qin, Y., & Chiu, D. T. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c01879 · Cited by 12

Mid-Infrared Photothermal–Fluorescence In Situ Hybridization for Functional Analysis and Genetic Identification of Single Cells

Bai, Y., Guo, Z., Pereira, F. C., Wagner, M., & Cheng, J. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.2c04474 · Cited by 12

Utilising Graph Machine Learning within Drug Discovery and DevelopmentPreprint

Gaudelet, T., Day, B., Jamasb, A. R., Soman, J., Regep, C., Liu, G., Hayter, J. B. R., Vickers, R. J., Roberts, C., Tang, J., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.05716 · Cited by 11

DUPLETS: Deformability‐Assisted Dual‐Particle Encapsulation Via Electrically Activated Sorting

Zhong, J., Liang, M., & Ai, Y. (2023) · Small Methods · doi:10.1002/smtd.202300089 · Cited by 11

Rapid, low-cost fabrication of electronic microfluidics via inkjet-printing and xurography (MINX)

Kikkeri, K., Naba, F. M., & Joel Voldman, B. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115499 · Cited by 11

High‐Throughput Single‐Cell Mass Spectrometry Reveals Abnormal Lipid Metabolism in Pancreatic Ductal Adenocarcinoma

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