Kyle Ferchen1,2, Baobao Song1,3, H Leighton Grimes1. 1. Division of Immunobiology, Cincinnati Children's Hospital. 2. Department of Cancer Biology, University of Cincinnati, Cincinnati, Ohio, USA. 3. Immunology Graduate Program, University of Cincinnati College of Medicine.
Abstract
PURPOSE OF REVIEW: Understanding the fast-moving field of single-cell technologies, as applied to myeloid biology, requires an appreciation of basic molecular, informatics, and biological concepts. Here, we highlight both key and recent articles to illustrate basic concepts for those new to molecular single-cell analyses in myeloid hematology. RECENT FINDINGS: Recent studies apply single-cell omics to discover novel cell populations, construct relationships between cell populations, reconfigure the organization of hematopoiesis, and study hematopoietic lineage tree and fate choices. Accompanying development of technologies, new informatic tools have emerged, providing exciting new insights. SUMMARY: Hematopoietic stem and progenitor cells are regulated by complex intrinsic and extrinsic factors to produce blood cell types. In this review, we discuss recent advances in single-cell omics to profile these cells, methods to infer cell type identify, and trajectories from molecular omics data to ultimately derive new insights into hematopoietic stem and progenitor cell biology. We further discuss future applications of these technologies to understand hematopoietic cell interactions, function, and development. The goal is to offer a comprehensive overview of current single-cell technologies and their impact on our understanding of myeloid cell development for those new to single-cell analyses.
PURPOSE OF REVIEW: Understanding the fast-moving field of single-cell technologies, as applied to myeloid biology, requires an appreciation of basic molecular, informatics, and biological concepts. Here, we highlight both key and recent articles to illustrate basic concepts for those new to molecular single-cell analyses in myeloid hematology. RECENT FINDINGS: Recent studies apply single-cell omics to discover novel cell populations, construct relationships between cell populations, reconfigure the organization of hematopoiesis, and study hematopoietic lineage tree and fate choices. Accompanying development of technologies, new informatic tools have emerged, providing exciting new insights. SUMMARY: Hematopoietic stem and progenitor cells are regulated by complex intrinsic and extrinsic factors to produce blood cell types. In this review, we discuss recent advances in single-cell omics to profile these cells, methods to infer cell type identify, and trajectories from molecular omics data to ultimately derive new insights into hematopoietic stem and progenitor cell biology. We further discuss future applications of these technologies to understand hematopoietic cell interactions, function, and development. The goal is to offer a comprehensive overview of current single-cell technologies and their impact on our understanding of myeloid cell development for those new to single-cell analyses.
Authors: Gioele La Manno; Ruslan Soldatov; Amit Zeisel; Emelie Braun; Hannah Hochgerner; Viktor Petukhov; Katja Lidschreiber; Maria E Kastriti; Peter Lönnerberg; Alessandro Furlan; Jean Fan; Lars E Borm; Zehua Liu; David van Bruggen; Jimin Guo; Xiaoling He; Roger Barker; Erik Sundström; Gonçalo Castelo-Branco; Patrick Cramer; Igor Adameyko; Sten Linnarsson; Peter V Kharchenko Journal: Nature Date: 2018-08-08 Impact factor: 49.962
Authors: Luigi Grassi; Farzin Pourfarzad; Sebastian Ullrich; Angelika Merkel; Felipe Were; Enrique Carrillo-de-Santa-Pau; Guoqiang Yi; Ida H Hiemstra; Anton T J Tool; Erik Mul; Juliane Perner; Eva Janssen-Megens; Kim Berentsen; Hinri Kerstens; Ehsan Habibi; Marta Gut; Marie Laure Yaspo; Matthias Linser; Ernesto Lowy; Avik Datta; Laura Clarke; Paul Flicek; Martin Vingron; Dirk Roos; Timo K van den Berg; Simon Heath; Daniel Rico; Mattia Frontini; Myrto Kostadima; Ivo Gut; Alfonso Valencia; Willem H Ouwehand; Hendrik G Stunnenberg; Joost H A Martens; Taco W Kuijpers Journal: Cell Rep Date: 2018-09-04 Impact factor: 9.423