Literature DB >> 34057731

Single-Cell Analysis of Hematopoietic Stem Cells.

Katherine H M Sturgess1, Fernando J Calero-Nieto1, Berthold Göttgens1, Nicola K Wilson2.   

Abstract

The study of hematopoiesis has been revolutionized in recent years by the application of single-cell RNA sequencing technologies. The technique coupled with rapidly developing bioinformatic analysis has provided great insight into the cell type compositions of many populations previously defined by their cell surface phenotype. Moreover, transcriptomic information enables the identification of individual molecules and pathways which define novel cell populations and their transitions including cell lineage decisions. Combining single-cell transcriptional profiling with molecular perturbations allows functional analysis of individual factors in gene regulatory networks and better understanding of the earliest stages of malignant transformation. In this chapter we describe a comprehensive protocol for scRNA-Seq analysis of the mouse bone marrow, using both plate-based (low throughput) and droplet-based (high throughput) methods. The protocol includes instructions for sample preparation, an antibody panel for flow cytometric purification of hematopoietic progenitors with index sorting for plate-based analysis or in bulk for droplet-based methods. The plate-based protocol described in this chapter is a combination of the Smart-Seq2 and mcSCRB-Seq protocols, optimized in our laboratory. It utilizes off-the-shelf reagents for cDNA preparation, is amenable to automation using a liquid handler, and takes 4 days from preparation of the cells for sorting to producing a sequencing-ready library. The droplet-based method (using for instance the 10× Genomics platform) relies on the manufacturer's user guide and commercial reagents, and takes 3 days from isolation of the cells to the production of a library ready for sequencing.

Entities:  

Keywords:  Bone marrow; Gene regulatory networks; Hematopoiesis; Hematopoietic stem cell; Hematopoietic stem/progenitor cell; Smart-Seq2; Transcriptome; mcSCRB-Seq; mcSmart-Seq2; scRNA-Seq

Mesh:

Year:  2021        PMID: 34057731     DOI: 10.1007/978-1-0716-1425-9_22

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  35 in total

1.  Single-cell characterization of haematopoietic progenitors and their trajectories in homeostasis and perturbed haematopoiesis.

Authors:  Amir Giladi; Franziska Paul; Yoni Herzog; Yaniv Lubling; Assaf Weiner; Ido Yofe; Diego Jaitin; Nina Cabezas-Wallscheid; Regine Dress; Florent Ginhoux; Andreas Trumpp; Amos Tanay; Ido Amit
Journal:  Nat Cell Biol       Date:  2018-06-18       Impact factor: 28.824

2.  Diffusion pseudotime robustly reconstructs lineage branching.

Authors:  Laleh Haghverdi; Maren Büttner; F Alexander Wolf; Florian Buettner; Fabian J Theis
Journal:  Nat Methods       Date:  2016-08-29       Impact factor: 28.547

3.  Identification of unipotent megakaryocyte progenitors in human hematopoiesis.

Authors:  Kohta Miyawaki; Hiromi Iwasaki; Takashi Jiromaru; Hirotake Kusumoto; Ayano Yurino; Takeshi Sugio; Yasufumi Uehara; Jun Odawara; Shinya Daitoku; Yuya Kunisaki; Yasuo Mori; Yojiro Arinobu; Hirofumi Tsuzuki; Yoshikane Kikushige; Tadafumi Iino; Koji Kato; Katsuto Takenaka; Toshihiro Miyamoto; Takahiro Maeda; Koichi Akashi
Journal:  Blood       Date:  2017-03-23       Impact factor: 22.113

Review 4.  From haematopoietic stem cells to complex differentiation landscapes.

Authors:  Elisa Laurenti; Berthold Göttgens
Journal:  Nature       Date:  2018-01-24       Impact factor: 49.962

5.  A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation.

Authors:  Sonia Nestorowa; Fiona K Hamey; Blanca Pijuan Sala; Evangelia Diamanti; Mairi Shepherd; Elisa Laurenti; Nicola K Wilson; David G Kent; Berthold Göttgens
Journal:  Blood       Date:  2016-06-30       Impact factor: 22.113

6.  Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations.

Authors:  Nicola K Wilson; David G Kent; Florian Buettner; Mona Shehata; Iain C Macaulay; Fernando J Calero-Nieto; Manuel Sánchez Castillo; Caroline A Oedekoven; Evangelia Diamanti; Reiner Schulte; Chris P Ponting; Thierry Voet; Carlos Caldas; John Stingl; Anthony R Green; Fabian J Theis; Berthold Göttgens
Journal:  Cell Stem Cell       Date:  2015-05-21       Impact factor: 24.633

7.  Clonal analysis of lineage fate in native haematopoiesis.

Authors:  Alejo E Rodriguez-Fraticelli; Samuel L Wolock; Caleb S Weinreb; Riccardo Panero; Sachin H Patel; Maja Jankovic; Jianlong Sun; Raffaele A Calogero; Allon M Klein; Fernando D Camargo
Journal:  Nature       Date:  2018-01-03       Impact factor: 49.962

8.  Functionally Distinct Subsets of Lineage-Biased Multipotent Progenitors Control Blood Production in Normal and Regenerative Conditions.

Authors:  Eric M Pietras; Damien Reynaud; Yoon-A Kang; Daniel Carlin; Fernando J Calero-Nieto; Andrew D Leavitt; Joshua M Stuart; Berthold Göttgens; Emmanuelle Passegué
Journal:  Cell Stem Cell       Date:  2015-06-18       Impact factor: 24.633

9.  Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis.

Authors:  Victoria Moignard; Iain C Macaulay; Gemma Swiers; Florian Buettner; Judith Schütte; Fernando J Calero-Nieto; Sarah Kinston; Anagha Joshi; Rebecca Hannah; Fabian J Theis; Sten Eirik Jacobsen; Marella F de Bruijn; Berthold Göttgens
Journal:  Nat Cell Biol       Date:  2013-03-24       Impact factor: 28.824

10.  Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte and erythroid differentiation pathways.

Authors:  Bethan Psaila; Nikolaos Barkas; Deena Iskander; Anindita Roy; Stacie Anderson; Neil Ashley; Valentina S Caputo; Jens Lichtenberg; Sandra Loaiza; David M Bodine; Anastasios Karadimitris; Adam J Mead; Irene Roberts
Journal:  Genome Biol       Date:  2016-05-03       Impact factor: 13.583

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