Evidence map›Paper›PMID 30657937›Full record

ArticleNucleic acids research2019

NextPBM: a platform to study cell-specific transcription factor binding and cooperativity.

Nima Mohaghegh, David Bray, Jessica Keenan, Ashley Penvose, Kellen K Andrilenas, Vijendra Ramlall, Trevor Siggers

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 49 citations in OpenAlex.

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  20. The Non-continuum Nature of Eukaryotic Transcriptional Regulation.Advances in experimental medicine and biology · 2022
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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

7 authors at 1 institution in 1 country.

Nima MohagheghDepartment of Biology and Biological Design Center, Boston University, Boston, MA, USA.
David BrayDepartment of Biology and Biological Design Center, Boston University, Boston, MA, USA.
Jessica KeenanDepartment of Biology and Biological Design Center, Boston University, Boston, MA, USA.
Ashley PenvoseDepartment of Biology and Biological Design Center, Boston University, Boston, MA, USA.
Kellen K AndrilenasDepartment of Biology and Biological Design Center, Boston University, Boston, MA, USA.
Vijendra RamlallDepartment of Biology and Biological Design Center, Boston University, Boston, MA, USA.
Trevor SiggersDepartment of Biology and Biological Design Center, Boston University, Boston, MA, USA.
Boston University · US

Funding

Gene Regulation in the Immune SystemR01AI116829 · NIAID · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SIGGERS, TREVOR · 2016 to 2020
$1.6M
Gene Regulation in the Immune SystemR56AI116829 · NIAID · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SIGGERS, TREVOR · 2015 to 2015
$369k
NIAID NIH HHS R01 AI116829NIAID NIH HHS R56 AI116829
6 · The paper itself

Abstract

High-throughput (HT) in vitro methods for measuring protein-DNA binding have become invaluable for characterizing transcription factor (TF) complexes and modeling gene regulation. However, current methods do not utilize endogenous proteins and, therefore, do not quantify the impact of cell-specific post-translational modifications (PTMs) and cooperative cofactors. We introduce the HT nextPBM (nuclear extract protein-binding microarray) approach to study DNA binding of native cellular TFs that accounts for PTMs and cell-specific cofactors. We integrate immune-depletion and phosphatase treatment steps into our nextPBM pipeline to characterize the impact of cofactors and phosphorylation on TF binding. We analyze binding of PU.1/SPI1 and IRF8 from human monocytes, delineate DNA-sequence determinants for their cooperativity, and show how PU.1 affinity correlates with enhancer status and the presence of cooperative and collaborative cofactors. We describe how nextPBMs, and our accompanying computational framework, can be used to discover cell-specific cofactors, screen for synthetic cooperative DNA elements, and characterize TF cooperativity.

Indexed as

Gene Regulatory NetworksCell ExtractsCell NucleusGene Expression RegulationHEK293 CellsHigh-Throughput Screening AssaysHumansNuclear ProteinsOrgan SpecificityProtein Array AnalysisProtein BindingProtein Interaction MappingProtein Interaction MapsTHP-1 CellsTranscription FactorsCell ExtractsNuclear ProteinsTranscription Factors

Identifiers

PMID30657937
PMCPMC6451091
OpenAlexW2911224643

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.