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For: Chung H, Parkhurst CN, Magee EM, Phillips D, Habibi E, Chen F, Yeung BZ, Waldman J, Artis D, Regev A. Joint single-cell measurements of nuclear proteins and RNA in vivo. Nat Methods 2021;18:1204-12. [PMID: 34608310 DOI: 10.1038/s41592-021-01278-1] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 18.0] [Reference Citation Analysis]
Number Citing Articles
1 Yu W, Zhao X, Jalloh AS, Zhao Y, Dinner B, Yang Y, Ouyang S, Li Y, Tian T, Zhao Z, Yang R, Chen M, Lauvau G, Guo Z, Wu P, Li JP. Chemoenzymatic Measurement of Cell-surface Glycan in Single-cell Multiomics: LacNAc as an Example.. [DOI: 10.1101/2022.09.01.506123] [Reference Citation Analysis]
2 Zhang P, Hu J, Park JS, Hsieh K, Chen L, Mao A, Wang TH. Highly Sensitive Serum Protein Analysis Using Magnetic Bead-Based Proximity Extension Assay. Anal Chem 2022. [PMID: 36040305 DOI: 10.1021/acs.analchem.2c02684] [Reference Citation Analysis]
3 Chung H, Melnikov A, Mccabe C, Drokhlyansky E, Van Wittenberghe N, Magee EM, Waldman J, Spira A, Chen F, Mazzilli S, Rozenblatt-rosen O, Regev A. SnFFPE-Seq: towards scalable single nucleus RNA-Seq of formalin-fixed paraffin-embedded (FFPE) tissue.. [DOI: 10.1101/2022.08.25.505257] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Gupta A, Martin-Rufino JD, Jones TR, Subramanian V, Qiu X, Grody EI, Bloemendal A, Weng C, Niu SY, Min KH, Mehta A, Zhang K, Siraj L, Al' Khafaji A, Sankaran VG, Raychaudhuri S, Cleary B, Grossman S, Lander ES. Inferring gene regulation from stochastic transcriptional variation across single cells at steady state. Proc Natl Acad Sci U S A 2022;119:e2207392119. [PMID: 35969771 DOI: 10.1073/pnas.2207392119] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Jiang Y, Zhu L, Cao L, Wu Q, Chen J, Wang Y, Wu J, Zhang T, Wang Z, Guan Z, Xu Q, Fan Q, Shi S, Wang H, Pan J, Fu X, Wang Y, Fang Q. Simultaneous transcriptome and proteome profiling in a single mouse oocyte with a deep single-cell multi-omics approach.. [DOI: 10.1101/2022.08.17.504335] [Reference Citation Analysis]
6 Li Z, Seehawer M, Polyak K. Untangling the web of intratumour heterogeneity. Nat Cell Biol 2022;24:1192-201. [PMID: 35941364 DOI: 10.1038/s41556-022-00969-x] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
7 Paul S, Xie S, Yao X, Dey A. Transcriptional Regulation of the Hippo Pathway: Current Understanding and Insights from Single-Cell Technologies. Cells 2022;11:2225. [PMID: 35883668 DOI: 10.3390/cells11142225] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Oelen R, de Vries DH, Brugge H, Gordon MG, Vochteloo M, Ye CJ, Westra HJ, Franke L, van der Wijst MGP; single-cell eQTLGen consortium., BIOS Consortium. Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure. Nat Commun 2022;13:3267. [PMID: 35672358 DOI: 10.1038/s41467-022-30893-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
9 Fulcher JM, Markillie LM, Mitchell HD, Williams SM, Engbrecht KM, Moore RJ, Cantlon-bruce J, Bagnoli JW, Seth A, Paša-tolić L, Zhu Y. Parallel measurement of transcriptomes and proteomes from same single cells using nanodroplet splitting.. [DOI: 10.1101/2022.05.17.492137] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Gray GK, Li CM, Rosenbluth JM, Selfors LM, Girnius N, Lin JR, Schackmann RCJ, Goh WL, Moore K, Shapiro HK, Mei S, D'Andrea K, Nathanson KL, Sorger PK, Santagata S, Regev A, Garber JE, Dillon DA, Brugge JS. A human breast atlas integrating single-cell proteomics and transcriptomics. Dev Cell 2022:S1534-5807(22)00331-8. [PMID: 35617956 DOI: 10.1016/j.devcel.2022.05.003] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
11 Chen AF, Parks B, Kathiria AS, Ober-Reynolds B, Goronzy JJ, Greenleaf WJ. NEAT-seq: simultaneous profiling of intra-nuclear proteins, chromatin accessibility and gene expression in single cells. Nat Methods 2022. [PMID: 35501385 DOI: 10.1038/s41592-022-01461-y] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 9.0] [Reference Citation Analysis]
12 Fraschilla I, Amatullah H, Jeffrey KL. One genome, many cell states: epigenetic control of innate immunity. Current Opinion in Immunology 2022;75:102173. [DOI: 10.1016/j.coi.2022.102173] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
13 Hao Y, Stuart T, Kowalski M, Choudhary S, Hoffman P, Hartman A, Srivastava A, Molla G, Madad S, Fernandez-granda C, Satija R. Dictionary learning for integrative, multimodal, and scalable single-cell analysis.. [DOI: 10.1101/2022.02.24.481684] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
14 Marx V. How single-cell multi-omics builds relationships. Nat Methods 2022. [PMID: 35105969 DOI: 10.1038/s41592-022-01392-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
15 Slavov N. Learning from natural variation across the proteomes of single cells. PLoS Biol 2022;20:e3001512. [DOI: 10.1371/journal.pbio.3001512] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Jackson CA, Vogel C. New horizons in the stormy sea of multimodal single-cell data integration. Molecular Cell 2022;82:248-59. [DOI: 10.1016/j.molcel.2021.12.012] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]