Evidence map›Paper›PMID 24853077›Full record

ArticleBiotechnology and bioengineering2014

Dynamic transcription factor activity profiles reveal key regulatory interactions during megakaryocytic and erythroid differentiation.

Mark T Duncan, Seungjin Shin, Jia J Wu, Zachary Mays, Stanley Weng, Neda Bagheri, William M Miller, Lonnie D Shea

Open access · bronzeAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

8 authors at 1 institution in 1 country.

Mark T DuncanDepartment of Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois, 60208.
Seungjin Shin
Jia J Wu
Zachary Mays
Stanley Weng
Neda Bagheri
William M Miller
Lonnie D Shea
Northwestern University · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
CORE: ADMINISTRATIVEP50GM081892 · NIGMS · UNIVERSITY OF CHICAGO · PI WHITE, KEVIN P. · 2008 to 2013
$15.9M
TRANS-NETWORK PROJECTSU54CA143869 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MARKO, JOHN F · 2009 to 2013
$12.8M
Developing Capacity to Evaluate Training Programs via Development of Human, Institutional and Social CapitalT32GM008449 · NIGMS · NORTHWESTERN UNIVERSITY · PI LEONARD, JOSHUA NATHANIEL · 1993 to 2023
$7.8M
Measuring signaling pathway dynamics during tissue growth in hydrogelsR01GM097220 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JERUSS, JACQUELINE SARA, SHEA, LONNIE D · 2012 to 2015
$1.4M
NCI NIH HHS 5U54CA143869-05NCI NIH HHS P30 CA060553NCI NIH HHS U54 CA143869NIGMS NIH HHS P50 GM081892NIGMS NIH HHS P50GM081892NIGMS NIH HHS R01 GM097220NIGMS NIH HHS R01GM097220NIGMS NIH HHS T32 GM008449NIGMS NIH HHS T32GM008449
6 · The paper itself

Abstract

The directed differentiation toward erythroid (E) or megakaryocytic (MK) lineages by the MK-E progenitor (MEP) could enhance the ex vivo generation of red blood cells and platelets for therapeutic transfusions. The lineage choice at the MEP bifurcation is controlled in large part by activity within the intracellular signal transduction network, the output of which determines the activity of transcription factors (TFs) and ultimately gene expression. Although many TFs have been implicated, E or MK differentiation is a complex process requiring multiple days, and the dynamics of TF activities during commitment and terminal maturation are relatively unexplored. Herein, we applied a living cell array for the large-scale, dynamic quantification of TF activities during MEP bifurcation. A panel of hematopoietic TFs (GATA-1, GATA-2, SCL/TAL1, FLI-1, NF-E2, PU.1, c-Myb) was characterized during E and MK differentiation of bipotent K562 cells. Dynamic TF activity profiles associated with differentiation towards each lineage were identified, and validated with previous reports. From these activity profiles, we show that GATA-1 is an important hub during early hemin- and PMA-induced differentiation, and reveal several characteristic TF interactions for E and MK differentiation that confirm regulatory mechanisms documented in the literature. Additionally, we highlight several novel TF interactions at various stages of E and MK differentiation. Furthermore, we investigated the mechanism by which nicotinamide (NIC) promoted terminal MK maturation using an MK-committed cell line, CHRF-288-11 (CHRF). Concomitant with its enhancement of ploidy, NIC strongly enhanced the activity of three TFs with known involvement in terminal MK maturation: FLI-1, NF-E2, and p53. Dynamic profiling of TF activity represents a novel tool to complement traditional assays focused on mRNA and protein expression levels to understand progenitor cell differentiation.

Indexed as

HematopoiesisTranscriptional ActivationCell LineErythroid CellsGATA1 Transcription FactorGene DeletionHumansMegakaryocytesNiacinamidePolyploidyProtein Interaction MapsTranscription FactorsGATA1 Transcription FactorNiacinamideTranscription Factorsdifferentiationdynamic networkserythroidinferencemegakaryocytictranscription factor activity

Identifiers

PMID24853077
PMCPMC4232189
OpenAlexW2146109833

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.