Literature DB >> 33901135

Deciphering transcriptional and functional heterogeneity in hematopoiesis with single-cell genomics.

Jorge D Martin-Rufino1,2, Vijay G Sankaran1,2,3.   

Abstract

PURPOSE OF REVIEW: Single-cell genomic approaches have uncovered cell fate biases and heterogeneity within hematopoietic subpopulations. However, standard single-cell transcriptomics suffers from high sampling noise, which particularly skews the distribution of lowly expressed genes, such as transcription factors (TFs). This might preclude the identification of rare transcripts that define cell identity and demarcate cell fate biases. Moreover, these studies need to go hand in hand with relevant functional assays to ensure that observed gene expression changes represent biologically meaningful alterations. RECENT
FINDINGS: Single-cell lineage tracing and functional validation studies have uncovered cell fate bias within transcriptionally distinct hematopoietic stem and progenitor subpopulations. Novel markers identified using these strategies have been proposed to prospectively isolate functionally distinct subpopulations, including long-term hematopoietic stem cells for ex vivo applications. Furthermore, the continuous nature of hematopoiesis has prompted the study of the relationship between stochastic transcriptional noise in hematopoietic TFs and cell fate determination.
SUMMARY: An understanding of the limitations of single-cell genomic approaches and follow-up functional assays is critical to discern the technical and biological contribution of noise in hematopoietic heterogeneity, to identify rare gene expression states, and to uncover functionally distinct subpopulations within hematopoiesis. SUPPLEMENTARY VIDEO: http://links.lww.com/COH/A23.
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.

Entities:  

Mesh:

Year:  2021        PMID: 33901135      PMCID: PMC8169609          DOI: 10.1097/MOH.0000000000000657

Source DB:  PubMed          Journal:  Curr Opin Hematol        ISSN: 1065-6251            Impact factor:   3.218


  46 in total

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Authors:  Evan Z Macosko; Anindita Basu; Rahul Satija; James Nemesh; Karthik Shekhar; Melissa Goldman; Itay Tirosh; Allison R Bialas; Nolan Kamitaki; Emily M Martersteck; John J Trombetta; David A Weitz; Joshua R Sanes; Alex K Shalek; Aviv Regev; Steven A McCarroll
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

2.  Ultra-high-throughput single-cell RNA sequencing and perturbation screening with combinatorial fluidic indexing.

Authors:  Paul Datlinger; André F Rendeiro; Thorina Boenke; Martin Senekowitsch; Thomas Krausgruber; Daniele Barreca; Christoph Bock
Journal:  Nat Methods       Date:  2021-05-31       Impact factor: 28.547

Review 3.  The role of PU.1 and GATA-1 transcription factors during normal and leukemogenic hematopoiesis.

Authors:  P Burda; P Laslo; T Stopka
Journal:  Leukemia       Date:  2010-06-03       Impact factor: 11.528

4.  Integrin-α3 Is a Functional Marker of Ex Vivo Expanded Human Long-Term Hematopoietic Stem Cells.

Authors:  Elisa Tomellini; Iman Fares; Bernhard Lehnertz; Jalila Chagraoui; Nadine Mayotte; Tara MacRae; Marie-Ève Bordeleau; Sophie Corneau; Richard Bisaillon; Guy Sauvageau
Journal:  Cell Rep       Date:  2019-07-23       Impact factor: 9.423

5.  Simultaneous epitope and transcriptome measurement in single cells.

Authors:  Marlon Stoeckius; Christoph Hafemeister; William Stephenson; Brian Houck-Loomis; Pratip K Chattopadhyay; Harold Swerdlow; Rahul Satija; Peter Smibert
Journal:  Nat Methods       Date:  2017-07-31       Impact factor: 28.547

6.  The single-cell transcriptional landscape of mammalian organogenesis.

Authors:  Junyue Cao; Malte Spielmann; Xiaojie Qiu; Xingfan Huang; Daniel M Ibrahim; Andrew J Hill; Fan Zhang; Stefan Mundlos; Lena Christiansen; Frank J Steemers; Cole Trapnell; Jay Shendure
Journal:  Nature       Date:  2019-02-20       Impact factor: 49.962

7.  Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis.

Authors:  Alejo E Rodriguez-Fraticelli; Caleb Weinreb; Shou-Wen Wang; Rosa P Migueles; Maja Jankovic; Marc Usart; Allon M Klein; Sally Lowell; Fernando D Camargo
Journal:  Nature       Date:  2020-07-15       Impact factor: 49.962

8.  Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2.

Authors:  Harrison Specht; Edward Emmott; Aleksandra A Petelski; R Gray Huffman; David H Perlman; Marco Serra; Peter Kharchenko; Antonius Koller; Nikolai Slavov
Journal:  Genome Biol       Date:  2021-01-27       Impact factor: 13.583

9.  Massively parallel and time-resolved RNA sequencing in single cells with scNT-seq.

Authors:  Qi Qiu; Peng Hu; Xiaojie Qiu; Kiya W Govek; Pablo G Cámara; Hao Wu
Journal:  Nat Methods       Date:  2020-08-31       Impact factor: 28.547

10.  Genomic encoding of transcriptional burst kinetics.

Authors:  Michael Hagemann-Jensen; Leonard Hartmanis; Anton J M Larsson; Per Johnsson; Omid R Faridani; Björn Reinius; Åsa Segerstolpe; Chloe M Rivera; Bing Ren; Rickard Sandberg
Journal:  Nature       Date:  2019-01-02       Impact factor: 49.962

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  1 in total

1.  Mapping transcriptomic vector fields of single cells.

Authors:  Xiaojie Qiu; Yan Zhang; Jorge D Martin-Rufino; Chen Weng; Shayan Hosseinzadeh; Dian Yang; Angela N Pogson; Marco Y Hein; Kyung Hoi Joseph Min; Li Wang; Emanuelle I Grody; Matthew J Shurtleff; Ruoshi Yuan; Song Xu; Yian Ma; Joseph M Replogle; Eric S Lander; Spyros Darmanis; Ivet Bahar; Vijay G Sankaran; Jianhua Xing; Jonathan S Weissman
Journal:  Cell       Date:  2022-02-01       Impact factor: 66.850

  1 in total

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