Evidence map›Paper›PMID 30184180›Full record

ArticleNucleic acids research2018

Global landscape of mouse and human cytokine transcriptional regulation.

Sebastian Carrasco Pro, Alvaro Dafonte Imedio, Clarissa Stephanie Santoso, Kok Ann Gan, Jared Allan Sewell, Melissa Martinez, Rebecca Sereda, Shivani Mehta, Juan Ignacio Fuxman Bass

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

38 citing papers in PubMed, 58 citations in OpenAlex.

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  18. Inhibition of LSD1 with Bomedemstat Sensitizes Small Cell Lung Cancer to Immune Checkpoint Blockade and T-Cell Killing.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
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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

9 authors at 1 institution in 1 country.

Sebastian Carrasco ProDepartment of Biology, Boston University, Boston, MA 02215, USA.
Alvaro Dafonte ImedioDepartment of Biology, Boston University, Boston, MA 02215, USA.
Clarissa Stephanie SantosoDepartment of Biology, Boston University, Boston, MA 02215, USA.
Kok Ann GanDepartment of Biology, Boston University, Boston, MA 02215, USA.
Jared Allan SewellDepartment of Biology, Boston University, Boston, MA 02215, USA.
Melissa MartinezDepartment of Biology, Boston University, Boston, MA 02215, USA.
Rebecca SeredaDepartment of Biology, Boston University, Boston, MA 02215, USA.
Shivani MehtaDepartment of Biology, Boston University, Boston, MA 02215, USA.
Juan Ignacio Fuxman BassDepartment of Biology, Boston University, Boston, MA 02215, USA.
Boston University · US

Funding

RESEARCH TRAINING IN BLOOD DISEASES AND RESOURCEST32HL007501 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LERNER, ADAM, STEINBERG, MARTIN H. · 1985 to 2018
$5.4M
Structure and Function of Immune Gene Regulatory NetworksR35GM128625 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Juan Ignacio Fuxman Bass · 2018 to 2026
$4.0M
Delineation of a cytokine gene regulatory network and rewiring in diseaseR00GM114296 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FUXMAN BASS, JUAN IGNACIO · 2016 to 2017
$498k
National Science Foundation NSF-REU BIO-1659605NHLBI NIH HHS T32 HL007501NIGMS NIH HHS R00 GM114296NIGMS NIH HHS R35 GM128625
6 · The paper itself

Abstract

Cytokines are cell-to-cell signaling proteins that play a central role in immune development, pathogen responses, and diseases. Cytokines are highly regulated at the transcriptional level by combinations of transcription factors (TFs) that recruit cofactors and the transcriptional machinery. Here, we mined through three decades of studies to generate a comprehensive database, CytReg, reporting 843 and 647 interactions between TFs and cytokine genes, in human and mouse respectively. By integrating CytReg with other functional datasets, we determined general principles governing the transcriptional regulation of cytokine genes. In particular, we show a correlation between TF connectivity and immune phenotype and disease, we discuss the balance between tissue-specific and pathogen-activated TFs regulating each cytokine gene, and cooperativity and plasticity in cytokine regulation. We also illustrate the use of our database as a blueprint to predict TF-disease associations and identify potential TF-cytokine regulatory axes in autoimmune diseases. Finally, we discuss research biases in cytokine regulation studies, and use CytReg to predict novel interactions based on co-expression and motif analyses which we further validated experimentally. Overall, this resource provides a framework for the rational design of future cytokine gene regulation studies.

Indexed as

Databases, GeneticGene Expression RegulationGene Regulatory NetworksAnimalsCytokinesGene Expression ProfilingHumansMiceProtein Interaction MapsTranscription FactorsCytokinesTranscription Factors

Identifiers

PMID30184180
PMCPMC6182173
OpenAlexW2950470413

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.