Single-cell analysis reveals key roles for Bcl11a in regulating stem cell fate decisions

Genome Biology

Volumn 16, Issue 1, 2015, Pages

  Powers, Ashley N ^a,b   Satija, Rahul ^a,b  

^a NEW YORK GENOME CENTER   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BCL11A PROTEIN, MOUSE; CARRIER PROTEIN; NUCLEAR PROTEIN;

ANIMAL; CELL DIFFERENTIATION; CELL LINEAGE; CYTOLOGY; GENETICS; HEMATOPOIETIC STEM CELL; HIGH THROUGHPUT SEQUENCING; METABOLISM; MOUSE; SIGNAL TRANSDUCTION; SINGLE CELL ANALYSIS; THROMBOCYTOPOIESIS;

ANIMALS; CARRIER PROTEINS; CELL DIFFERENTIATION; CELL LINEAGE; HEMATOPOIETIC STEM CELLS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MICE; NUCLEAR PROTEINS; SIGNAL TRANSDUCTION; SINGLE-CELL ANALYSIS; THROMBOPOIESIS;

EID: 84955724665     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-015-0778-y     Document Type: Article

References (10)

1. Tsang J, Yu Y, Burke S, Buettner F, Wang C, Kolodziejczyk A, et al. Single-cell transcriptomic reconstruction reveals cell cycle and multi-lineage differentiation defects in Bcl11a-deficient hematopoietic stem cells. Genome Biol. 2015;16:178.
2. Gekas C, Graf T. CD41 expression marks myeloid-biased adult hematopoietic stem cells and increases with age. Blood. 2013;121:4463-72.
3. Yamamoto R, Morita Y, Ooehara J, Hamanaka S, Onodera M, Rudolph KL, et al. Clonal analysis unveils self-renewing lineage-restricted progenitors generated directly from hematopoietic stem cells. Cell. 2013;154:1112-26.
4. Satija R, Shalek AK. Heterogeneity in immune responses: from populations to single cells. Trends Immunol. 2014;35:219-29.
5. Yu Y, Wang J, Khaled W, Burke S, Li P, Chen X, et al. Bcl11a is essential for lymphoid development and negatively regulates p53. J Exp Med. 2012;209:2467-83.
6. Blakeley P, Fogarty NM, Del Valle I, Wamaitha SE, Hu TX, Elder K, et al. Defining the three cell lineages of the human blastocyst by single-cell RNA-seq. Development. 2015 Aug 20. pii: dev.123547. [Epub ahead of print].
7. Treutlein B, Brownfield DG, Wu AR, Neff NF, Mantalas GL, Espinoza FH, et al. Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq. Nature. 2014;509:371-5.
8. Buettner F, Natarajan KN, Casale FP, Proserpio V, Scialdone A, Theis FJ, et al. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nat Biotechnol. 2015;33:155-60.
9. Klein AM, Mazutis L, Akartuna I, Tallapragada N, Veres A, Li V, et al. Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Cell. 2015;161:1187-201.
10. Macosko EZ, Basu A, Satija R, Nemesh J, Shekhar K, Goldman M, et al. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets. Cell. 2015;161:1202-14.