Power analysis of single-cell RNA-sequencing experiments

Cited by (582)

Items 101–200 of 582

1. Dissecting Cellular Heterogeneity Using Single-Cell RNA Sequencing.
   Yoon Ha Choi, Jong Kyoung Kim · 2019 · Europe PMC (PubMed Central)
2. scPipe: A flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data
   Luyi Tian, Shian Su, Xueyi Dong, Daniela Amann‐Zalcenstein, Christine Biben, Azadeh Seidi, Douglas J. Hilton, Shalin H. Naik, Matthew E. Ritchie · 2018 · PLoS Computational Biology
3. A multicenter study benchmarking single-cell RNA sequencing technologies using reference samples
   Chen, Wanqiu, Zhao, Yongmei, Chen, Xin, Yang, Zhaowei, Xu, Xiaojiang, Bi, Yingtao, Chen, Vicky, Li, Jing, Choi, Hannah, Ernest, Ben et al. · 2021 · Nature Biotechnology
4. Comparative analysis of sequencing technologies for single-cell transcriptomics
   Kedar Nath Natarajan, Zhichao Miao, Miaomiao Jiang, Xiaoyun Huang, Hongpo Zhou, Jiarui Xie, Chunqing Wang, Shishang Qin, Zhikun Zhao, Liang Li Wu et al. · 2019 · Genome biology
5. UMI-count modeling and differential expression analysis for single-cell RNA sequencing
   Chen, Wenan, Li, Yan, Easton, John, Finkelstein, David, Wu, Gang, Chen, Xiang · 2018 · Genome Biology
6. Power in Numbers: Single-Cell RNA-Seq Strategies to Dissect Complex Tissues
   Kenneth D. Birnbaum · 2018 · Annual Review of Genetics
7. Determining sequencing depth in a single-cell RNA-seq experiment
   Zhang, Martin Jinye, Ntranos, Vasilis, Tse, David · 2020 · Nature Communications
8. From tissues to cell types and back: single-cell gene expression analysis of tissue architecture
   Chen, Xi, Teichmann, Sarah A., Meyer, Kerstin B. · 2018 · Annual Review of Biomedical Data Science
9. Single-Cell RNA-Seq of the Pancreatic Islets––a Promise Not yet Fulfilled?
   Yue Julia Wang, Klaus H. Kaestner · 2018 · Cell Metabolism
10. scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured
    Tianyi Sun, Dongyuan Song, Wei Vivian Li, Jingyi Jessica Li · 2021 · Genome biology
11. Droplet-based single cell RNAseq tools: a practical guide
    Salomon, Robert, Kaczorowski, Dominik, Valdes-Mora, Fatima, Nordon, Robert E., Neild, Adrian, Farbehi, Nona, Bartonicek, Nenad, Gallego-Ortega, David · 2019 · Lab on a Chip
12. scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
    Schmid, Katharina T., Höllbacher, Barbara, Cruceanu, Cristiana, Böttcher, Anika, Lickert, Heiko, Binder, Elisabeth B., Theis, Fabian J., Heinig, Matthias · 2021 · Nature Communications
13. Single-Cell Transcriptome Analysis of Uniparental Embryos Reveals Parent-of-Origin Effects on Human Preimplantation Development
    Lizhi Leng, Jiya Sun, Jinrong Huang, Fei Gong, Ling Mei Yang, Shuoping Zhang, Xuye Yuan, Fang Fang, Xun Xu, Yonglun Luo et al. · 2019 · Cell stem cell
14. Computational approaches for interpreting sc<scp>RNA</scp>‐seq data
    Rostom, Raghd, Svensson, Valentine, Teichmann, Sarah A., Kar, Gozde · 2017 · FEBS Letters
15. An integrative approach for building personalized gene regulatory networks for precision medicine
    Monique G.P. van der Wijst, Dylan H. de Vries, Harm Brugge, Harm-Jan Westra, Lude Franke · 2018 · Genome Medicine
16. Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks
    Jiahua Rao, Xiang Zhou, Yutong Lu, Huiying Zhao, Yuedong Yang · 2021 · iScience
17. Single-Cell Transcriptional Analysis
    Angela Ruohao Wu, Jianbin Wang, Aaron Streets, Yanyi Huang · 2017 · Annual Review of Analytical Chemistry
18. C1 CAGE detects transcription start sites and enhancer activity at single-cell resolution
    Tsukasa Kouno, Jonathan Moody, Andrew Tae-Jun Kwon, Youtaro Shibayama, Sachi Kato, Yi Huang, Michael E. Böttcher, Efthymios Motakis, Mickaël Mendez, Jessica Severin et al. · 2019 · Nature Communications
19. Spatial multi-omics reveals cell-type-specific nuclear compartments
    Yodai Takei, Yujing Yang, Jonathan A. White, Isabel Nadine Goronzy, Jina Yun, Meera Prasad, Lincoln J. Ombelets, Simone Schindler, Prashant Bhat, Mitchell Guttman et al. · 2025 · Nature
20. Network Medicine in Pathobiology
    Lee, Laurel Yong-Hwa, Loscalzo, Joseph · 2019 · The American Journal of Pathology
21. Sensitive high-throughput single-cell RNA-seq reveals within-clonal transcript correlations in yeast populations
    Mariona Nadal‐Ribelles, Saiful Islam, Wei Wu, Pablo Latorre, Michelle Nguyen, Eulàlia de Nadal, Francesc Posas, Lars Michael Steinmetz · 2019 · Nature Microbiology
22. Poincaré maps for analyzing complex hierarchies in single-cell data
    Anna Klimovskaia, David López-Paz, Léon Bottou, Maximilian Nickel · 2020 · Nature Communications
23. A systematic performance evaluation of clustering methods for single-cell RNA-seq data
    Angelo Duò, Mark D. Robinson, Charlotte Soneson · 2018 · F1000Research
24. How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives
    Alessandra Dal Molin, Barbara Di Camillo · 2018 · Briefings in Bioinformatics
25. Unravelling glioblastoma heterogeneity by means of single-cell RNA sequencing
    Ana Hernández Martínez, Rodrigo Madurga, Noemí Garcia‐Romero, Ángel Ayuso‐Sacido · 2021 · Cancer Letters
26. The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases
    Juan Antonio Vizcaíno, Peter Kubiniok, Kevin A. Kovalchik, Qing Ma, Jérôme D. Duquette, Ian Mongrain, Eric W. Deutsch, Bjoern Peters, Alessandro Sette, Isabelle Sirois et al. · 2019 · Molecular & Cellular Proteomics
27. Accounting for technical noise in differential expression analysis of single-cell RNA sequencing data
    Jia Cheng, Yu Hu, Derek E. Kelly, Junhyong Kim, Mingyao Li, Nancy Ruonan Zhang · 2017 · Nucleic Acids Research
28. White matter microglia heterogeneity in the CNS
    Amor, Sandra, McNamara, Niamh B., Gerrits, Emma, Marzin, Manuel C., Kooistra, Susanne M., Miron, Veronique E., Nutma, Erik · 2022 · Acta Neuropathologica
29. Systematic comparison of high-throughput single-cell RNA-seq methods for immune cell profiling
    Tracy Yamawaki, Daniel Lu, Daniel Christian Ellwanger, Dev M. Bhatt, Paolo S. Manzanillo, Vanessa Arias, Hong Zhou, Oh Kyu Yoon, Oliver R. Homann, Songli Wang et al. · 2021 · BMC Genomics
30. Single-Cell RNA-Seq Analysis Reveals Macrophage Involved in the Progression of Human Intervertebral Disc Degeneration
    Zemin Ling, Yong Liu, Zhe Wang, Ziji Zhang, Bolin Chen, Jiaming Yang, Baozhu Zeng, Yu Gao, Chang Jiang, Yulin Huang et al. · 2022 · Frontiers in Cell and Developmental Biology
31. Select sequencing of clonally expanded CD8 + T cells reveals limits to clonal expansion
    Huang Huang, Michael J. Sikora, Saiful Islam, Roshni Roy Chowdhury, Yueh‐hsiu Chien, Thomas J. Scriba, Mark M. Davis, Lars Michael Steinmetz · 2019 · Proceedings of the National Academy of Sciences
32. CellPLM: Pre-training of Cell Language Model Beyond Single Cells
    Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
33. Systems Immunology: Learning the Rules of the Immune System
    Alexandra–Chloé Villani, Siranush Sarkizova, Nir Hacohen · 2018 · Annual Review of Immunology
34. Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain
    Ken Sugino, Erin Clark, Anton Schulmann, Yasuyuki Shima, Lihua Wang, David L. Hunt, Bryan M. Hooks, Dimitri Tränkner, Jayaram Chandrashekar, Serge Picard et al. · 2019 · eLife
35. Surface protein imputation from single cell transcriptomes by deep neural networks
    Zilu Zhou, Chengzhong Ye, Jingshu Wang, Nancy Ruonan Zhang · 2020 · Nature Communications
36. Integrated analysis of single cell transcriptomic data across conditions, technologies, and species
    Butler, Andrew, Satija, Rahul · 2017
37. Developmental single-cell transcriptomics in the Lytechinus variegatus sea urchin embryo
    Abdull J. Massri, Laura Greenstreet, Anton Afanassiev, Alejandro Berrío, Gregory A. Wray, Geoffrey R. Schiebinger, David R. McClay · 2021 · Development
38. Using single‐cell multiple omics approaches to resolve tumor heterogeneity
    Ortega, Michael A., Poirion, Olivier, Zhu, Xun, Huang, Sijia, Wolfgruber, Thomas K., Sebra, Robert, Garmire, Lana X. · 2017 · Clinical and Translational Medicine
39. Single-cell omics: experimental workflow, data analyses and applications
    Fengying Sun, Haoyan Li, Dongqing Sun, Shaliu Fu, Lei Gu, Xin Shao, Qinqin Wang, Xin Dong, Bin Duan, Feiyang Xing et al. · 2024 · Science China Life Sciences
40. Highly parallel and efficient single cell mRNA sequencing with paired picoliter chambers
    Mingxia Zhang, Yuan Wen Zou, Xing Jun Xu, Xuebing Zhang, Mingxuan Gao, Jia Tao Song, Peifeng Huang, Qin Chen, Zhi Zhu, Wei Lin et al. · 2020 · Nature Communications
41. Bioinformatics for precision oncology
    Jochen Singer, Anja Irmisch, Hans‐Joachim Ruscheweyh, Franziska Singer, Nora C. Toussaint, Mitchell P. Levesque, Daniel Johannes Stekhoven, Niko Beerenwinkel · 2017 · Briefings in Bioinformatics
42. New insights into hematopoietic differentiation landscapes from single-cell RNA sequencing
    Sam Watcham, Iwo Kuciński, Berthold Göttgens · 2019 · Blood
43. Impact of sequencing depth and read length on single cell RNA sequencing data of T cells
    Simone Rizzetto, Auda A. Eltahla, Peijie Lin, Rowena Anne Bull, Andrew R. Lloyd, Joshua W. K. Ho, Vanessa Venturi, Fabio Luciani · 2017 · Scientific Reports
44. Landscape of Exhausted Virus-Specific CD8 T Cells in Chronic LCMV Infection
    Ioana Sandu, Dario Cerletti, Nathalie Oetiker, Mariana Borsa, Franziska Wagen, Ilaria Spadafora, Suzanne P. M. Welten, Ugnė Stolz, Annette Oxenius, Manfred Claassen · 2020 · Cell Reports
45. The Human Cell Atlas
    Aviv Regev, Sarah Amalia Teichmann, Eric S. Lander, Ido Amit, Christophe O. Benoist, Ewan Birney, Bernd Bodenmiller, Peter J. Campbell, Piero Carninci, Menna Ruth Clatworthy et al. · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
46. Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy
    Richter, M. L., Deligiannis, I. K., Yin, K., Danese, A., Lleshi, E., Coupland, P., Vallejos, C. A., Matchett, K. P., Henderson, N. C., Colome-Tatche, M. et al. · 2021 · Nature Communications
47. Multi-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology
    Francesca Finotello, Federica Eduati · 2018 · Frontiers in Oncology
48. Comparison of visualization tools for single-cell RNAseq data
    Batuhan Çakır, Martin Prete, Ni Huang, Stijn van Dongen, Pınar Pir, Vladimir Yu Kiselev · 2020 · NAR Genomics and Bioinformatics
49. A Highly Sensitive, Accurate, and Automated Single-Cell RNA Sequencing Platform with Digital Microfluidics
    Xing Jun Xu, Qianqian Zhang, Jia Tao Song, Qingyu Ruan, Weidong Ruan, Yujie Chen, Jian Yang, Xuebing Zhang, Yanling Song, Zhi Zhu et al. · 2020 · Analytical Chemistry
50. A statistical simulator scDesign for rational scRNA-seq experimental design
    Wei Vivian Li, Jingyi Jessica Li · 2019 · Bioinformatics
51. Benchmark and Parameter Sensitivity Analysis of Single-Cell RNA Sequencing Clustering Methods
    Monika Krzak, Yordan P. Raykov, Alexis Boukouvalas, Luisa Cutillo, Claudia Angelini · 2019 · Frontiers in Genetics
52. Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility
    Qiao Rui Xing, Chadi A. El Farran, Ying Ying Zeng, Yao Yi, Tushar Warrier, Pradeep Gautam, James J. Collins, Jian Xu, Peter Dröge, Cheng-Gee Koh et al. · 2020 · Genome Research
53. What has single-cell RNA-seq taught us about mammalian spermatogenesis?
    Shinnosuke Suzuki, Victoria D. Diaz, Brian P. Hermann · 2019 · Biology of Reproduction
54. LncRNA MIAT correlates with immune infiltrates and drug reactions in hepatocellular carcinoma
    Lirong Peng, Yiyin Chen, Qiaoping Ou, Xiaoqian Wang, Nanhong Tang · 2020 · International Immunopharmacology
55. A single-parasite transcriptional atlas of Toxoplasma Gondii reveals novel control of antigen expression
    Yuan Xue, Terence C. Theisen, Suchita Rastogi, Abel Ferrel, Stephen R. Quake, John C. Boothroyd · 2020 · eLife
56. Single-cell analysis of Schistosoma mansoni identifies a conserved genetic program controlling germline stem cell fate
    Pengyang Li, Dania Nanes Sarfati, Yuan Xue, Xi Yu, Alexander J. Tarashansky, Stephen R. Quake, Bo Wang · 2021 · Nature Communications
57. Single-cell transcriptome analysis indicates fatty acid metabolism-mediated metastasis and immunosuppression in male breast cancer
    Handong Sun, Lishen Zhang, Zhonglin Wang, Danling Gu, Mengyan Zhu, Yun Cai, Lu Li, Jiaqi Tang, Bin Huang, Bakwatanisa Bosco et al. · 2023 · Nature Communications
58. Extracellular vesicles from lung tissue drive bone marrow neutrophil recruitment in inflammation
    Bowen Liu, Yuan Jin, Jingyi Yang, Yue Han, Hui Shan, Mantang Qiu, Xuyang Zhao, Anhang Liu, Yan Jin, Yuxin Yin · 2022 · Journal of Extracellular Vesicles
59. BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data
    Amit A. Upadhyay, Robert C. Kauffman, Amber N. Wolabaugh, Alice Cho, Nirav Bipin Patel, Samantha M. Reiss, Colin Havenar‐Daughton, Reem A. Dawoud, Gregory K. Tharp, Iñaki Sanz et al. · 2018 · Genome Medicine
60. Nestin promotes pulmonary fibrosisviafacilitating recycling of TGF-β receptor I
    Jiancheng Wang, Xiaofan Lai, Senyu Yao, Hainan Chen, Jianye Cai, Yu-Long Luo, Yi Wang, Yuan Qiu, Yinong Huang, Xiaoyue Wei et al. · 2021 · European Respiratory Journal
61. Single-cell and single-nuclei RNA sequencing as powerful tools to decipher cellular heterogeneity and dysregulation in neurodegenerative diseases
    Raquel Cuevas‐Díaz Durán, Juan Carlos González-Orozco, Iván Velasco, Jia Qian Wu · 2022 · Frontiers in Cell and Developmental Biology
62. Profiling Microglia through Single-Cell RNA Sequencing over the Course of Development, Aging, and Disease
    Spyros Pettas, Korina Karagianni, Ειrini Kanata, Athanasia Chatziefstathiou, Nikoletta Christoudia, Konstantinos Xanthopoulos, Theodoros Sklaviadis, Dimitra Dafou · 2022 · Cells
63. Single-cell imaging and RNA sequencing reveal patterns of gene expression heterogeneity during fission yeast growth and adaptation
    Malika Saint, François Bertaux, Wenhao Tang, Xi-Ming Sun, Laurence Gamé, Anna Köferle, Jürg Bähler, Vahid Shahrezaei, Samuel Marguerat · 2019 · Nature Microbiology
64. Assessing the reliability of spike-in normalization for analyses of single-cell RNA sequencing data
    Aaron T. L. Lun, Fernando J. Calero‐Nieto, Liora Haim-Vilmovsky, Berthold Göttgens, John C. Marioni · 2017 · Genome Research
65. Deciphering Brain Complexity using Single-Cell Sequencing
    Quanhua Mu, Yiyun Chen, Jiguang Wang · 2019 · Genomics Proteomics & Bioinformatics
66. Single‐Cell Sequencing Methodologies: From Transcriptome to Multi‐Dimensional Measurement
    Yingwen Chen, Jia Tao Song, Qingyu Ruan, Xi Zeng, Lingling Wu, Linfeng Cai, Xuanqun Wang, Chaoyong James Yang · 2021 · Small Methods
67. Full-Length Single-Cell RNA Sequencing with Smart-seq2
    Simone Picelli · 2019 · Methods in molecular biology
68. Probing infectious disease by single-cell RNA sequencing: Progresses and perspectives
    Geyang Luo, Qian Gao, Shuye Zhang, Bo Yan · 2020 · Computational and Structural Biotechnology Journal
69. Quantitative single-cell transcriptomics
    Christoph Ziegenhain, Beate Vieth, Swati Parekh, Ines Hellmann, Wolfgang Enard · 2018 · Briefings in Functional Genomics
70. The Application of Single‐Cell RNA Sequencing in Vaccinology
    Andrés Noé, Tamsin N. Cargill, Carolyn M. Nielsen, Andrew J. C. Russell, Eleanor J. Barnes · 2020 · Journal of Immunology Research
71. In silico tissue generation and power analysis for spatial omics
    Ethan A. G. Baker, Denis Schapiro, Bianca Dumitrascu, Sanja Vicković, Aviv Regev · 2023 · Nature Methods
72. Advancing Breast Cancer Heterogeneity Analysis: Insights from Genomics, Transcriptomics and Proteomics at Bulk and Single-Cell Levels
    Zijian Zhu, Lai Jiang, Xianting Ding · 2023 · Cancers
73. Single-Cell RNA Sequencing Technology Landscape in 2023
    Hui‐Qi Qu, Charlly Kao, Hakon H. Hakonarson · 2023 · Stem Cells
74. SCOPIT: sample size calculations for single-cell sequencing experiments
    Alexander Davis, Ruli Gao, Nicholas E. Navin · 2019 · BMC Bioinformatics
75. Single-cell RNA sequencing reveals gene expression signatures of breast cancer-associated endothelial cells
    Zhengda Sun, Chih‐Yang Wang, Devon A. Lawson, Serena S. Kwek, Hugo González Velozo, Mark Owyong, Ming-Derg Lai, Lawrence H. Fong, Mark W. Wilson, Hua Su et al. · 2017 · Oncotarget
76. Single-Cell RNA Sequencing to Understand Host–Pathogen Interactions
    Cristina Peñaranda, Deborah Tan Hung · 2019 · ACS Infectious Diseases
77. Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments
    Xiaoqing Yu, Farnoosh Abbas Aghababazadeh, Y. Ann Chen, Brooke L. Fridley · 2020 · Methods in molecular biology
78. A brief review of single-cell transcriptomic technologies
    Tomer Kalisky C, Sarit Oriel, Tali Hana Bar-Lev, Nissim Ben-Haim, Ariel Trink, Yishay Wineberg, Itamar Kanter, Shlomit Gilad, Saumyadipta Pyne · 2017 · Briefings in Functional Genomics
79. Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments
    Hicks, Stephanie C., Townes, F. William, Teng, Mingxiang, Irizarry, Rafael A. · 2015
80. Single-molecule Fluorescence in situ Hybridization (smFISH) for RNA Detection in Adherent Animal Cells
    Gal Haimovich, Jeffrey E. Gerst · 2018 · BIO-PROTOCOL
81. Functionally distinct roles for eEF2K in the control of ribosome availability and p-body abundance
    Patrick R. Smith, Sarah Loerch, Nikesh Kunder, Alexander D. Stanowick, Tzu‐Fang Lou, Zachary T. Campbell · 2021 · Nature Communications
82. The effect of methanol fixation on single-cell RNA sequencing data
    Xinlei Wang, Lei Yu, Angela Ruohao Wu · 2021 · BMC Genomics
83. Plasticity and heterogeneity of thermogenic adipose tissue
    Wenfei Sun, Salvatore Modica, Hua Dong, Christian Wolfrum · 2021 · Nature Metabolism
84. Obstacles to detecting isoforms using full-length scRNA-seq data
    Jennifer Westoby, Pavel Artemov, Martin Hemberg, Anne C. Ferguson‐Smith · 2020 · Genome biology
85. Identification of a discrete subpopulation of spinal cord ependymal cells with neural stem cell properties
    Moa Stenudd, Hanna Sabelström, Enric Llorens-Bobadilla, Margherita Zamboni, Hans Blom, Hjalmar Brismar, Shupei Zhang, Onur Başak, Hans C. Clevers, Christian Göritz et al. · 2022 · Cell Reports
86. Performance Comparison of Reverse Transcriptases for Single-Cell Studies
    Daniel Žucha, Peter Androvic, Mikael Kubista, Lukáš Valihrach · 2019 · Clinical Chemistry
87. Random forest based similarity learning for single cell RNA sequencing data
    Maziyar Baran Pouyan, Dennis Kostka · 2018 · Bioinformatics
88. Advances in Transcriptomics
    Robert C. Wirka, Milos Pjanic, Thomas Quertermous · 2018 · Circulation Research
89. DECENT: differential expression with capture efficiency adjustmeNT for single-cell RNA-seq data
    Chengzhong Ye, Terence Paul Speed, Agus Salim · 2019 · Bioinformatics
90. The liver as an immunological barrier redefined by single‐cell analysis
    Zania Stamataki, Leo Swadling · 2020 · Immunology
91. Can single-cell RNA sequencing crack the mystery of cells?
    William Yang Wang, Danyan Gao, Xiangdong Wang · 2017 · Cell Biology and Toxicology
92. Applying transcriptomics to study glycosylation at the cell type level
    Leo Alexander Dworkin, Henrik Clausen, Hiren Jitendra Joshi · 2022 · iScience
93. Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics
    Yijun Xia, Youbin Wang, Mengjie Shan, Hao Yan, Zhengyun Liang · 2023 · Burns & Trauma
94. FB5P-seq: FACS-Based 5-Prime End Single-Cell RNA-seq for Integrative Analysis of Transcriptome and Antigen Receptor Repertoire in B and T Cells
    Noudjoud Attaf, Iñaki Cervera-Marzal, Chuang Dong, Laurine Gil, Amédée Renand, Lionel Spinelli, Pierre Milpied · 2020 · Frontiers in Immunology
95. Photoactivated Nanoflares for mRNA Detection in Single Living Cells
    Meihua Lin, Xiaoqing Yi, Fujian Huang, Xin Ma, Xiaolei Zuo, Fan Xia · 2019 · Analytical Chemistry
96. Single‐Cell Multi‐Omics and Its Prospective Application in Cancer Biology
    Anghui Peng, Xiying Mao, Jiawei Zhong, Shuxin Fan, Youjin Hu · 2020 · PROTEOMICS
97. Single-Cell Quantitative Proteomic Analysis of Human Oocyte Maturation Revealed High Heterogeneity in In Vitro–Matured Oocytes
    Yueshuai Guo, Lingbo Cai, Xiaofei Liu, Long Ma, Hao Zhang, Bing Wang, Yaling Qi, Jiayin Liu, Feiyang Diao, Jiahao Sha et al. · 2022 · Molecular & Cellular Proteomics
98. Purification of Human CD34+CD90+ HSCs Reduces Target Cell Population and Improves Lentiviral Transduction for Gene Therapy
    Stefan Radtke, Dnyanada Pande, Margaret Cui, Anai M. Perez, Yan Yi Chan, Mark Enstrom, Stefanie Schmuck, Andrew Berger, Tom Eunson, Jennifer E. Adair et al. · 2020 · Molecular Therapy — Methods & Clinical Development
99. NeuroSystematics and Periodic System of Neurons: Model vs Reference Species at Single-Cell Resolution
    Leonid L. Moroz · 2018 · ACS Chemical Neuroscience
100. The Shoot Apical Meristem: An Evolutionary Molding of Higher Plants
     Tania Kean-Galeno, Damar Lizbeth López-Arredondo, Luís Herrera‐Estrella · 2024 · International Journal of Molecular Sciences