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For: Lederer AR, La Manno G. The emergence and promise of single-cell temporal-omics approaches. Current Opinion in Biotechnology 2020;63:70-8. [DOI: 10.1016/j.copbio.2019.12.005] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 7.5] [Reference Citation Analysis]
Number Citing Articles
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4 Petrus-Reurer S, Lederer AR, Baqué-Vidal L, Douagi I, Pannagel B, Khven I, Aronsson M, Bartuma H, Wagner M, Wrona A, Efstathopoulos P, Jaberi E, Willenbrock H, Shimizu Y, Villaescusa JC, André H, Sundstrӧm E, Bhaduri A, Kriegstein A, Kvanta A, La Manno G, Lanner F. Molecular profiling of stem cell-derived retinal pigment epithelial cell differentiation established for clinical translation. Stem Cell Reports 2022;17:1458-75. [PMID: 35705015 DOI: 10.1016/j.stemcr.2022.05.005] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Capolupo L, Khven I, Lederer AR, Mazzeo L, Glousker G, Ho S, Russo F, Montoya JP, Bhandari DR, Bowman AP, Ellis SR, Guiet R, Burri O, Detzner J, Muthing J, Homicsko K, Kuonen F, Gilliet M, Spengler B, Heeren RMA, Dotto GP, La Manno G, D'Angelo G. Sphingolipids control dermal fibroblast heterogeneity. Science 2022;376:eabh1623. [PMID: 35420948 DOI: 10.1126/science.abh1623] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 11.0] [Reference Citation Analysis]
6 Swift J, Greenham K, Ecker JR, Coruzzi GM, Robertson McClung C. The biology of time: dynamic responses of cell types to developmental, circadian and environmental cues. Plant J 2021. [PMID: 34797944 DOI: 10.1111/tpj.15589] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Bergen V, Soldatov RA, Kharchenko PV, Theis FJ. RNA velocity-current challenges and future perspectives. Mol Syst Biol 2021;17:e10282. [PMID: 34435732 DOI: 10.15252/msb.202110282] [Cited by in Crossref: 1] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis]
8 Zhao C, Xiu W, Hua Y, Zhang N, Zhang Y. CStreet: a computed Cell State trajectory inference method for time-series single-cell RNA sequencing data. Bioinformatics 2021:btab488. [PMID: 34196686 DOI: 10.1093/bioinformatics/btab488] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
9 Meir Z, Aviezer I, Chongloi GL, Ben-Kiki O, Bronstein R, Mukamel Z, Keren-Shaul H, Jaitin D, Tal L, Shalev-Schlosser G, Harel TH, Tanay A, Eshed Y. Dissection of floral transition by single-meristem transcriptomes at high temporal resolution. Nat Plants 2021;7:800-13. [PMID: 34135484 DOI: 10.1038/s41477-021-00936-8] [Cited by in Crossref: 6] [Cited by in F6Publishing: 9] [Article Influence: 6.0] [Reference Citation Analysis]
10 Schlieben LD, Prokisch H, Yépez VA. How Machine Learning and Statistical Models Advance Molecular Diagnostics of Rare Disorders Via Analysis of RNA Sequencing Data. Front Mol Biosci 2021;8:647277. [PMID: 34141720 DOI: 10.3389/fmolb.2021.647277] [Cited by in Crossref: 1] [Cited by in F6Publishing: 8] [Article Influence: 1.0] [Reference Citation Analysis]
11 McKinley KL, Castillo-Azofeifa D, Klein OD. Tools and Concepts for Interrogating and Defining Cellular Identity. Cell Stem Cell 2020;26:632-56. [PMID: 32386555 DOI: 10.1016/j.stem.2020.03.015] [Cited by in Crossref: 10] [Cited by in F6Publishing: 14] [Article Influence: 10.0] [Reference Citation Analysis]
12 García-Castro H, Kenny NJ, Iglesias M, Álvarez-Campos P, Mason V, Elek A, Schönauer A, Sleight VA, Neiro J, Aboobaker A, Permanyer J, Irimia M, Sebé-Pedrós A, Solana J. ACME dissociation: a versatile cell fixation-dissociation method for single-cell transcriptomics. Genome Biol 2021;22:89. [PMID: 33827654 DOI: 10.1186/s13059-021-02302-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 9] [Article Influence: 1.0] [Reference Citation Analysis]
13 Louie RH, Luciani F. Recent advances in single-cell multimodal analysis to study immune cells. Immunol Cell Biol 2021;99:157-67. [PMID: 33314406 DOI: 10.1111/imcb.12432] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
14 Engelhardt S, Engel FB. Single-cell cardiovascular research. Cardiovasc Res 2020;116:1399-401. [PMID: 32232428 DOI: 10.1093/cvr/cvaa079] [Reference Citation Analysis]
15 Soneson C, Srivastava A, Patro R, Stadler MB. Preprocessing choices affect RNA velocity results for droplet scRNA-seq data. PLoS Comput Biol 2021;17:e1008585. [PMID: 33428615 DOI: 10.1371/journal.pcbi.1008585] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
16 Yang KY, Ku M, Lui KO. Single-cell transcriptomics uncover distinct innate and adaptive cell subsets during tissue homeostasis and regeneration. J Leukoc Biol 2020;108:1593-602. [PMID: 33070367 DOI: 10.1002/JLB.6MR0720-131R] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
17 Fei H, Chen S, Xu C. RNA-sequencing and microarray data mining revealing: the aberrantly expressed mRNAs were related with a poor outcome in the triple negative breast cancer patients. Ann Transl Med 2020;8:363. [PMID: 32355807 DOI: 10.21037/atm.2020.02.51] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]