305 related articles for article (PubMed ID: 31062314)
1. Investigating Cell Fate Decisions with ICGS Analysis of Single Cells.
Salomonis N
Methods Mol Biol; 2019; 1975():251-275. PubMed ID: 31062314
[TBL] [Abstract][Full Text] [Related]
2. Lineage Inference and Stem Cell Identity Prediction Using Single-Cell RNA-Sequencing Data.
Sagar ; Grün D
Methods Mol Biol; 2019; 1975():277-301. PubMed ID: 31062315
[TBL] [Abstract][Full Text] [Related]
3. Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Olsson A; Venkatasubramanian M; Chaudhri VK; Aronow BJ; Salomonis N; Singh H; Grimes HL
Nature; 2016 Sep; 537(7622):698-702. PubMed ID: 27580035
[TBL] [Abstract][Full Text] [Related]
4. A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq.
Shiau F; Ruzycki PA; Clark BS
Dev Biol; 2021 Oct; 478():41-58. PubMed ID: 34146533
[TBL] [Abstract][Full Text] [Related]
5. FateID infers cell fate bias in multipotent progenitors from single-cell RNA-seq data.
Herman JS; Sagar ; Grün D
Nat Methods; 2018 May; 15(5):379-386. PubMed ID: 29630061
[TBL] [Abstract][Full Text] [Related]
6. Using Single-Cell and Spatial Transcriptomes to Understand Stem Cell Lineage Specification During Early Embryo Development.
Peng G; Cui G; Ke J; Jing N
Annu Rev Genomics Hum Genet; 2020 Aug; 21():163-181. PubMed ID: 32339035
[TBL] [Abstract][Full Text] [Related]
7. Single-cell RNA-seq reveals dynamic transcriptome profiling in human early neural differentiation.
Shang Z; Chen D; Wang Q; Wang S; Deng Q; Wu L; Liu C; Ding X; Wang S; Zhong J; Zhang D; Cai X; Zhu S; Yang H; Liu L; Fink JL; Chen F; Liu X; Gao Z; Xu X
Gigascience; 2018 Nov; 7(11):. PubMed ID: 30239706
[TBL] [Abstract][Full Text] [Related]
8. Single-Cell Analysis of Hematopoietic Stem Cells.
Sturgess KHM; Calero-Nieto FJ; Göttgens B; Wilson NK
Methods Mol Biol; 2021; 2308():301-337. PubMed ID: 34057731
[TBL] [Abstract][Full Text] [Related]
9. TSEE: an elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data.
An S; Ma L; Wan L
BMC Genomics; 2019 Apr; 20(Suppl 2):224. PubMed ID: 30967106
[TBL] [Abstract][Full Text] [Related]
10. Transcriptome-wide profiling and posttranscriptional analysis of hematopoietic stem/progenitor cell differentiation toward myeloid commitment.
Klimmeck D; Cabezas-Wallscheid N; Reyes A; von Paleske L; Renders S; Hansson J; Krijgsveld J; Huber W; Trumpp A
Stem Cell Reports; 2014 Nov; 3(5):858-75. PubMed ID: 25418729
[TBL] [Abstract][Full Text] [Related]
11. Comparative Analysis of Droplet-Based Ultra-High-Throughput Single-Cell RNA-Seq Systems.
Zhang X; Li T; Liu F; Chen Y; Yao J; Li Z; Huang Y; Wang J
Mol Cell; 2019 Jan; 73(1):130-142.e5. PubMed ID: 30472192
[TBL] [Abstract][Full Text] [Related]
12. Three-step transcriptional priming that drives the commitment of multipotent progenitors toward B cells.
Miyai T; Takano J; Endo TA; Kawakami E; Agata Y; Motomura Y; Kubo M; Kashima Y; Suzuki Y; Kawamoto H; Ikawa T
Genes Dev; 2018 Jan; 32(2):112-126. PubMed ID: 29440259
[TBL] [Abstract][Full Text] [Related]
13. Trajectory Algorithms to Infer Stem Cell Fate Decisions.
Lummertz da Rocha E; Malleshaiah M
Methods Mol Biol; 2019; 1975():193-209. PubMed ID: 31062311
[TBL] [Abstract][Full Text] [Related]
14. DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics.
Ghannoum S; Leoncio Netto W; Fantini D; Ragan-Kelley B; Parizadeh A; Jonasson E; Ståhlberg A; Farhan H; Köhn-Luque A
Int J Mol Sci; 2021 Jan; 22(3):. PubMed ID: 33573289
[TBL] [Abstract][Full Text] [Related]
15. A computational strategy for predicting lineage specifiers in stem cell subpopulations.
Okawa S; del Sol A
Stem Cell Res; 2015 Sep; 15(2):427-34. PubMed ID: 26368290
[TBL] [Abstract][Full Text] [Related]
16. Single-Cell RNA-Seq Mapping of Human Thymopoiesis Reveals Lineage Specification Trajectories and a Commitment Spectrum in T Cell Development.
Le J; Park JE; Ha VL; Luong A; Branciamore S; Rodin AS; Gogoshin G; Li F; Loh YE; Camacho V; Patel SB; Welner RS; Parekh C
Immunity; 2020 Jun; 52(6):1105-1118.e9. PubMed ID: 32553173
[TBL] [Abstract][Full Text] [Related]
17. Transcriptional, epigenetic and retroviral signatures identify regulatory regions involved in hematopoietic lineage commitment.
Romano O; Peano C; Tagliazucchi GM; Petiti L; Poletti V; Cocchiarella F; Rizzi E; Severgnini M; Cavazza A; Rossi C; Pagliaro P; Ambrosi A; Ferrari G; Bicciato S; De Bellis G; Mavilio F; Miccio A
Sci Rep; 2016 Apr; 6():24724. PubMed ID: 27095295
[TBL] [Abstract][Full Text] [Related]
18. Inference of differentiation time for single cell transcriptomes using cell population reference data.
Sun N; Yu X; Li F; Liu D; Suo S; Chen W; Chen S; Song L; Green CD; McDermott J; Shen Q; Jing N; Han JJ
Nat Commun; 2017 Nov; 8(1):1856. PubMed ID: 29187729
[TBL] [Abstract][Full Text] [Related]
19. Gene Regulatory Networks from Single Cell Data for Exploring Cell Fate Decisions.
Chan TE; Stumpf MPH; Babtie AC
Methods Mol Biol; 2019; 1975():211-238. PubMed ID: 31062312
[TBL] [Abstract][Full Text] [Related]
20. Single-Cell Transcriptome Analysis of T Cells.
Van Der Byl W; Rizzetto S; Samir J; Cai C; Eltahla AA; Luciani F
Methods Mol Biol; 2019; 2048():155-205. PubMed ID: 31396939
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
