Evidence map›Paper›PMID 30739944›Full record

ArticleBiophysics2018

Inference of Transcription Factor Regulation Patterns Using Gene Expression Covariation in Natural Populations of

Noha M Osman, Tevfik Hamdi Kitapci, Srna Vlaho, Zeba Wunderlich, Sergey V Nuzhdin

Open access · greenAbstract read
In one paragraph

Article in Biophysics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 3 countries.

Noha M OsmanUniversity of Southern California, Los Angeles, CA.
Tevfik Hamdi KitapciUniversity of Southern California, Los Angeles, CA.
Srna VlahoUniversity of Southern California, Los Angeles, CA.
Zeba WunderlichUniversity of California, Irvine, CA.
Sergey V NuzhdinUniversity of Southern California, Los Angeles, CA.
University of Southern California · USUniversity of California, Irvine · US

Funding

Multi-scale modeling of genetic variation in a developmental networkU01GM103804 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEPACE, ANGELA H, MARJORAM, PAUL · 2013 to 2016
$2.0M
Quantitative Comparisons between genotypes and model speciesR01GM102227 · NIGMS · UNIVERSITY OF FLORIDA · PI MCINTYRE, LAUREN M. · 2012 to 2015
$1.2M
Dissecting expression divergence in developmental networks across DrosophilidsR00HD073191 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI WUNDERLICH, ZEBA B · 2015 to 2017
$745k
NICHD NIH HHS R00 HD073191NIGMS NIH HHS R01 GM102227NIGMS NIH HHS U01 GM103804
6 · The paper itself

Abstract

Gene regulatory networks control the complex programs that drive development. Deciphering the connections between transcription factors (TFs) and target genes is challenging, in part because TFs bind to thousands of places in the genome but control expression through a subset of these binding events. We hypothesize that we can combine natural variation of expression levels and predictions of TF binding sites to identify TF targets. We gather RNA-seq data from 71 genetically distinct F1

Indexed as

Drosophila melanogastergene regulatory networkstranscription factors

Identifiers

PMID30739944
PMCPMC6368187
OpenAlexW2802113470

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.