Evidence map›Paper›PMID 38032891›Full record

ArticlePloS one2023

MORA and EnsembleTFpredictor: An ensemble approach to reveal functional transcription factor regulatory networks.

Kevin Boyer, Louis Li, Tiandao Li, Bo Zhang, Guoyan Zhao

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. REV-ERB-alpha and -beta coordinately regulate astrocyte reactivity and proteostatic function.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

5 authors.

Kevin BoyerDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, United States of America.
Louis LiBrown University, Providence, RI, United States of America.
Tiandao LiDepartment of Developmental Biology, Washington University School of Medicine, St. Louis, MO, United States of America.
Bo ZhangDepartment of Developmental Biology, Washington University School of Medicine, St. Louis, MO, United States of America.
Guoyan ZhaoDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, United States of America.ORCID 0000-0001-5615-6774

Funding

Multi-omics peripheral nerve atlas enables fine-mapping of pain molecular phenotypesU19NS130607 · NINDS · WASHINGTON UNIVERSITY · PI Robert W Gereau · 2022 to 2026
$14.0M
WashU-Northwestern Genomic Variation and Function Data and Administrative Coordinating CenterU24HG012070 · NHGRI · WASHINGTON UNIVERSITY · PI Ting Wang, Feng Yue · 2021 to 2026
$9.7M
Dissect the mechanisms of selective regional vulnerability in Lewy Body Dementias via comparative snRNA-seq analysisR01NS123571 · NINDS · WASHINGTON UNIVERSITY · PI XU, JINBIN, ZHAO, GUOYAN · 2021 to 2025
$3.6M
Transcriptional regulation of domesticated transposable elements-derived promoters in human genomeR35GM142917 · NIGMS · WASHINGTON UNIVERSITY · PI ZHANG, BO ABER · 2021 to 2025
$1.9M
Optimization of imaging mass cytometry, a single-cell spatial proteomics technology, for the study of Alzheimer diseaseR21AG077643 · NIA · WASHINGTON UNIVERSITY · PI XU, JINBIN, ZHAO, GUOYAN · 2022 to 2022
$433k
Define molecular events driving selective neuronal death in multiple neurodegenerative diseases by snRNA-seqR03AG070474 · NIA · WASHINGTON UNIVERSITY · PI XU, JINBIN, ZHAO, GUOYAN · 2021 to 2022
$315k
NHGRI NIH HHS U24 HG012070NIA NIH HHS R03 AG070474NIA NIH HHS R21 AG077643NIGMS NIH HHS R35 GM142917NINDS NIH HHS R01 NS123571NINDS NIH HHS U19 NS130607
6 · The paper itself

Abstract

motivationOur study aimed to identify biologically relevant transcription factors (TFs) that control the expression of a set of co-expressed or co-regulated genes.

resultsWe developed a fully automated pipeline, Motif Over Representation Analysis (MORA), to detect enrichment of known TF binding motifs in any query sequences. MORA performed better than or comparable to five other TF-prediction tools as evaluated using hundreds of differentially expressed gene sets and ChIP-seq datasets derived from known TFs. Additionally, we developed EnsembleTFpredictor to harness the power of multiple TF-prediction tools to provide a list of functional TFs ranked by prediction confidence. When applied to the test datasets, EnsembleTFpredictor not only identified the target TF but also revealed many TFs known to cooperate with the target TF in the corresponding biological systems. MORA and EnsembleTFpredictor have been used in two publications, demonstrating their power in guiding experimental design and in revealing novel biological insights.

Indexed as

Computational BiologyTranscription FactorsBinding SitesGene Expression RegulationProtein BindingTranscription Factors

Identifiers

PMID38032891
PMCPMC10688744

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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.