Evidence map›Paper›PMID 28365152›Full record

ArticleCell systems2017

Dynamic Gene Regulatory Networks of Human Myeloid Differentiation.

Ricardo N Ramirez, Nicole C El-Ali, Mikayla Anne Mager, Dana Wyman, Ana Conesa, Ali Mortazavi

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 129 citations in OpenAlex.

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  15. Neutrophil nucleus: shaping the past and the future.Journal of leukocyte biology · 2023
    Article
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Ricardo N RamirezDevelopmental and Cell Biology, University of California Irvine, Irvine, CA 92697-2300, USA; Center for Complex Biological Systems, University of California Irvine, Irvine, CA 92697-2300, USA.
Nicole C El-AliDevelopmental and Cell Biology, University of California Irvine, Irvine, CA 92697-2300, USA; Center for Complex Biological Systems, University of California Irvine, Irvine, CA 92697-2300, USA.
Mikayla Anne MagerDevelopmental and Cell Biology, University of California Irvine, Irvine, CA 92697-2300, USA; Center for Complex Biological Systems, University of California Irvine, Irvine, CA 92697-2300, USA.
Dana WymanCenter for Complex Biological Systems, University of California Irvine, Irvine, CA 92697-2300, USA.
Ana ConesaCentro de Investigacion Principe Felipe, 46012 Valencia, Spain; Microbiology and Cell Science, University of Florida, Gainesville, FL 32603, USA.
Ali MortazaviDevelopmental and Cell Biology, University of California Irvine, Irvine, CA 92697-2300, USA; Center for Complex Biological Systems, University of California Irvine, Irvine, CA 92697-2300, USA. Electronic address: ali.mortazavi@uci.edu.
University of California, Irvine · USCentro de Investigacion Principe Felipe · ES

Funding

Toward a comprehensive functional annotation of the human genomeU54HG006998 · NHGRI · HUDSON-ALPHA INSTITUTE FOR BIOTECHNOLOGY · PI MYERS, RICHARD M · 2012 to 2016
$17.5M
Comparative analysis of the 4D encoding of regulatory networks in stem cellsDP2GM111100 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MORTAZAVI, SEYED ALI · 2013 to 2013
$2.3M
NHGRI NIH HHS U54 HG006998NIGMS NIH HHS DP2 GM111100
6 · The paper itself

Abstract

The reconstruction of gene regulatory networks underlying cell differentiation from high-throughput gene expression and chromatin data remains a challenge. Here, we derive dynamic gene regulatory networks for human myeloid differentiation using a 5-day time series of RNA-seq and ATAC-seq data. We profile HL-60 promyelocytes differentiating into macrophages, neutrophils, monocytes, and monocyte-derived macrophages. We find a rapid response in the expression of key transcription factors and lineage markers that only regulate a subset of their targets at a given time, which is followed by chromatin accessibility changes that occur later along with further gene expression changes. We observe differences between promyelocyte- and monocyte-derived macrophages at both the transcriptional and chromatin landscape level, despite using the same differentiation stimulus, which suggest that the path taken by cells in the differentiation landscape defines their end cell state. More generally, our approach of combining neighboring time points and replicates to achieve greater sequencing depth can efficiently infer footprint-based regulatory networks from long series data.

Indexed as

Gene Regulatory NetworksBiomarkersCell DifferentiationCell LineCell LineageHumansModels, GeneticMyeloid CellsBiomarkersATAC-seqfootprintinggene regulatory networkmacrophagemonocytemyeloid differentiationneutrophilopen chromatinRNA-seq

Identifiers

PMID28365152
PMCPMC5490374
OpenAlexW2602581211

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.