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      Single-cell transcriptomics reveals a new dynamical function of transcription factors during embryonic hematopoiesis

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          Abstract

          Recent advances in single-cell transcriptomics techniques have opened the door to the study of gene regulatory networks (GRNs) at the single-cell level. Here, we studied the GRNs controlling the emergence of hematopoietic stem and progenitor cells from mouse embryonic endothelium using a combination of single-cell transcriptome assays. We found that a heptad of transcription factors (Runx1, Gata2, Tal1, Fli1, Lyl1, Erg and Lmo2) is specifically co-expressed in an intermediate population expressing both endothelial and hematopoietic markers. Within the heptad, we identified two sets of factors of opposing functions: one (Erg/Fli1) promoting the endothelial cell fate, the other (Runx1/Gata2) promoting the hematopoietic fate. Surprisingly, our data suggest that even though Fli1 initially supports the endothelial cell fate, it acquires a pro-hematopoietic role when co-expressed with Runx1. This work demonstrates the power of single-cell RNA-sequencing for characterizing complex transcription factor dynamics.

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          Most cited references45

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          featureCounts: An efficient general-purpose program for assigning sequence reads to genomic features

          , , (2013)
          Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
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            In vivo imaging of haematopoietic cells emerging from the mouse aortic endothelium.

            Haematopoietic stem cells (HSCs), responsible for blood production in the adult mouse, are first detected in the dorsal aorta starting at embryonic day 10.5 (E10.5). Immunohistological analysis of fixed embryo sections has revealed the presence of haematopoietic cell clusters attached to the aortic endothelium where HSCs might localize. The origin of HSCs has long been controversial and several candidates of the direct HSC precursors have been proposed (for review see ref. 7), including a specialized endothelial cell population with a haemogenic potential. Such cells have been described both in vitro in the embryonic stem cell (ESC) culture system and retrospectively in vivo by endothelial lineage tracing and conditional deletion experiments. Whether the transition from haemogenic endothelium to HSC actually occurs in the mouse embryonic aorta is still unclear and requires direct and real-time in vivo observation. To address this issue we used time-lapse confocal imaging and a new dissection procedure to visualize the deeply located aorta. Here we show the dynamic de novo emergence of phenotypically defined HSCs (Sca1(+), c-kit(+), CD41(+)) directly from ventral aortic haemogenic endothelial cells.
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              Master transcription factors determine cell-type-specific responses to TGF-β signaling.

              Transforming growth factor beta (TGF-β) signaling, mediated through the transcription factors Smad2 and Smad3 (Smad2/3), directs different responses in different cell types. Here we report that Smad3 co-occupies the genome with cell-type-specific master transcription factors. Thus, Smad3 occupies the genome with Oct4 in embryonic stem cells (ESCs), Myod1 in myotubes, and PU.1 in pro-B cells. We find that these master transcription factors are required for Smad3 occupancy and that TGF-β signaling largely affects the genes bound by the master transcription factors. Furthermore, we show that induction of Myod1 in nonmuscle cells is sufficient to redirect Smad3 to Myod1 sites. We conclude that cell-type-specific master transcription factors determine the genes bound by Smad2/3 and are thus responsible for orchestrating the cell-type-specific effects of TGF-β signaling. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                20 March 2018
                2018
                : 7
                : e29312
                Affiliations
                [1 ]European Molecular Biology Laboratory, EMBL Rome MonterotondoItaly
                [2 ]Wellcome Trust Sanger Institute HinxtonUnited Kingdom
                [3 ]deptGenomics Core Facility European Molecular Biology Laboratory HeidelbergGermany
                [4]Harvard University United States
                [5]Harvard University United States
                Author notes
                [‡]

                Boston's Children Hospital, Boston, United States.

                [§]

                Institute of Experimental Hematology, Hannover, Germany.

                [#]

                University of Sheffield, Sheffield, United Kingdom.

                [¶]

                UT Southwestern Medical Center, Dallas, United States.

                [**]

                Technische Universität Dresden, Dresden, Germany.

                [††]

                Weill Cornell Medicine, New York, United States.

                [†]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0001-9622-7960
                https://orcid.org/0000-0003-1120-2196
                https://orcid.org/0000-0003-4013-6343
                http://orcid.org/0000-0003-0028-7374
                Article
                29312
                10.7554/eLife.29312
                5860872
                29555020
                572b8304-bb8c-4f7c-9f8d-91d34550710a
                © 2018, Bergiers et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 06 June 2017
                : 15 February 2018
                Funding
                Funded by: EMBL Interdisciplinary Postdocs (EIPOD) Initiative;
                Award ID: Post-doc fellowship
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Developmental Biology and Stem Cells
                Custom metadata
                Single-cell transcriptomics analysis identifies the dynamic activity of transcription factors at the onset of hematopoeitic stem and progenitor cells formation during embryonic development.

                Life sciences
                stem cells,transcription factors,developmental biology,mouse
                Life sciences
                stem cells, transcription factors, developmental biology, mouse

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