Literature DB >> 30622121

A topological view of human CD34+ cell state trajectories from integrated single-cell output and proteomic data.

David J H F Knapp1,2,3, Colin A Hammond1,2, Fangwu Wang1,4, Nima Aghaeepour5, Paul H Miller1,2, Philip A Beer1, Davide Pellacani1, Michael VanInsberghe6, Carl Hansen6,7, Sean C Bendall8, Garry P Nolan5, Connie J Eaves1,2,4.   

Abstract

Recent advances in single-cell molecular analytical methods and clonal growth assays are enabling more refined models of human hematopoietic lineage restriction processes to be conceptualized. Here, we report the results of integrating single-cell proteome measurements with clonally determined lymphoid, neutrophilic/monocytic, and/or erythroid progeny outputs from >1000 index-sorted CD34+ human cord blood cells in short-term cultures with and without stromal cells. Surface phenotypes of functionally examined cells were individually mapped onto a molecular landscape of the entire CD34+ compartment constructed from single-cell mass cytometric measurements of 14 cell surface markers, 20 signaling/cell cycle proteins, and 6 transcription factors in ∼300 000 cells. This analysis showed that conventionally defined subsets of CD34+ cord blood cells are heterogeneous in their functional properties, transcription factor content, and signaling activities. Importantly, this molecular heterogeneity was reduced but not eliminated in phenotypes that were found to display highly restricted lineage outputs. Integration of the complete proteomic and functional data sets obtained revealed a continuous probabilistic topology of change that includes a multiplicity of lineage restriction trajectories. Each of these reflects progressive but variable changes in the levels of specific signaling intermediates and transcription factors but shared features of decreasing quiescence. Taken together, our results suggest a model in which increasingly narrowed hematopoietic output capabilities in neonatal CD34+ cord blood cells are determined by a history of external stimulation in combination with innately programmed cell state changes.
© 2019 by The American Society of Hematology.

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Year:  2019        PMID: 30622121      PMCID: PMC6396178          DOI: 10.1182/blood-2018-10-878025

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  53 in total

1.  A clonogenic common myeloid progenitor that gives rise to all myeloid lineages.

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Journal:  Nature       Date:  2000-03-09       Impact factor: 49.962

2.  The Branching Point in Erythro-Myeloid Differentiation.

Authors:  Leïla Perié; Ken R Duffy; Lianne Kok; Rob J de Boer; Ton N Schumacher
Journal:  Cell       Date:  2015-12-17       Impact factor: 41.582

3.  Isolation of single human hematopoietic stem cells capable of long-term multilineage engraftment.

Authors:  Faiyaz Notta; Sergei Doulatov; Elisa Laurenti; Armando Poeppl; Igor Jurisica; John E Dick
Journal:  Science       Date:  2011-07-08       Impact factor: 47.728

4.  Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum.

Authors:  Sean C Bendall; Erin F Simonds; Peng Qiu; El-ad D Amir; Peter O Krutzik; Rachel Finck; Robert V Bruggner; Rachel Melamed; Angelica Trejo; Olga I Ornatsky; Robert S Balderas; Sylvia K Plevritis; Karen Sachs; Dana Pe'er; Scott D Tanner; Garry P Nolan
Journal:  Science       Date:  2011-05-06       Impact factor: 47.728

5.  viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia.

Authors:  El-ad David Amir; Kara L Davis; Michelle D Tadmor; Erin F Simonds; Jacob H Levine; Sean C Bendall; Daniel K Shenfeld; Smita Krishnaswamy; Garry P Nolan; Dana Pe'er
Journal:  Nat Biotechnol       Date:  2013-05-19       Impact factor: 54.908

6.  Distinct routes of lineage development reshape the human blood hierarchy across ontogeny.

Authors:  Faiyaz Notta; Sasan Zandi; Naoya Takayama; Stephanie Dobson; Olga I Gan; Gavin Wilson; Kerstin B Kaufmann; Jessica McLeod; Elisa Laurenti; Cyrille F Dunant; John D McPherson; Lincoln D Stein; Yigal Dror; John E Dick
Journal:  Science       Date:  2015-11-05       Impact factor: 47.728

7.  Index sorting resolves heterogeneous murine hematopoietic stem cell populations.

Authors:  Reiner Schulte; Nicola K Wilson; Janine C M Prick; Chiara Cossetti; Michal K Maj; Berthold Gottgens; David G Kent
Journal:  Exp Hematol       Date:  2015-06-04       Impact factor: 3.084

8.  Lentiviral hematopoietic stem cell gene therapy benefits metachromatic leukodystrophy.

Authors:  Alessandra Biffi; Eugenio Montini; Laura Lorioli; Martina Cesani; Francesca Fumagalli; Tiziana Plati; Cristina Baldoli; Sabata Martino; Andrea Calabria; Sabrina Canale; Fabrizio Benedicenti; Giuliana Vallanti; Luca Biasco; Simone Leo; Nabil Kabbara; Gianluigi Zanetti; William B Rizzo; Nalini A L Mehta; Maria Pia Cicalese; Miriam Casiraghi; Jaap J Boelens; Ubaldo Del Carro; David J Dow; Manfred Schmidt; Andrea Assanelli; Victor Neduva; Clelia Di Serio; Elia Stupka; Jason Gardner; Christof von Kalle; Claudio Bordignon; Fabio Ciceri; Attilio Rovelli; Maria Grazia Roncarolo; Alessandro Aiuti; Maria Sessa; Luigi Naldini
Journal:  Science       Date:  2013-07-11       Impact factor: 47.728

9.  Upregulation of interleukin 6 and granulocyte colony-stimulating factor receptors by transcription factor CCAAT enhancer binding protein alpha (C/EBP alpha) is critical for granulopoiesis.

Authors:  P Zhang; A Iwama; M W Datta; G J Darlington; D C Link; D G Tenen
Journal:  J Exp Med       Date:  1998-09-21       Impact factor: 14.307

10.  The transcriptional architecture of early human hematopoiesis identifies multilevel control of lymphoid commitment.

Authors:  Elisa Laurenti; Sergei Doulatov; Sasan Zandi; Ian Plumb; Jing Chen; Craig April; Jian-Bing Fan; John E Dick
Journal:  Nat Immunol       Date:  2013-05-26       Impact factor: 25.606

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  4 in total

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Authors:  A Lorzadeh; C Hammond; F Wang; D J H F Knapp; J Ch Wong; J Y A Zhu; Q Cao; A Heravi-Moussavi; A Carles; M Wong; Z Sharafian; J Steif; M Moksa; M Bilenky; P M Lavoie; C J Eaves; M Hirst
Journal:  BMC Biol       Date:  2022-05-13       Impact factor: 7.364

2.  Single-cell analyses and machine learning define hematopoietic progenitor and HSC-like cells derived from human PSCs.

Authors:  Antonella Fidanza; Patrick S Stumpf; Prakash Ramachandran; Sara Tamagno; Ann Babtie; Martha Lopez-Yrigoyen; A Helen Taylor; Jennifer Easterbrook; Beth E P Henderson; Richard Axton; Neil C Henderson; Alexander Medvinsky; Katrin Ottersbach; Nicola Romanò; Lesley M Forrester
Journal:  Blood       Date:  2020-12-17       Impact factor: 25.476

3.  Hyaluronic acid-GPRC5C signalling promotes dormancy in haematopoietic stem cells.

Authors:  Yu Wei Zhang; Julian Mess; Nadim Aizarani; Pankaj Mishra; Carys Johnson; Mari Carmen Romero-Mulero; Jasmin Rettkowski; Katharina Schönberger; Nadine Obier; Karin Jäcklein; Nadine M Woessner; Maria-Eleni Lalioti; Talia Velasco-Hernandez; Katarzyna Sikora; Ralph Wäsch; Bernhard Lehnertz; Guy Sauvageau; Thomas Manke; Pablo Menendez; Sebastian Gottfried Walter; Susana Minguet; Elisa Laurenti; Stefan Günther; Dominic Grün; Nina Cabezas-Wallscheid
Journal:  Nat Cell Biol       Date:  2022-06-20       Impact factor: 28.213

4.  Single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis.

Authors:  Jinheng Wang; Chenggong Tu; Hui Zhang; Yongliang Huo; Eline Menu; Jinbao Liu
Journal:  BMC Biol       Date:  2021-09-09       Impact factor: 7.431

  4 in total

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