Evidence map›Paper›PMID 35832893›Full record

ArticleiScience2022

Transcriptional regulatory networks of circulating immune cells in type 1 diabetes: A community knowledgebase.

Scott A Ochsner, Rudolf T Pillich, Deepali Rawool, Jeffrey S Grethe, Neil J McKenna

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Integrating Omics into Functional Biomarkers of Type 1 Diabetes.Cold Spring Harbor perspectives in medicine · 2024
    Review
  3. Regulatory TCells · 2023
    Review
  4. 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 at 2 institutions in 1 country.

Scott A OchsnerDepartment of Molecular, Baylor College of Medicine, Houston, TX 77030, USA.
Rudolf T PillichDepartment of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Deepali RawoolCenter for Research in Biological Systems, University of California San Diego, La Jolla, CA 92093, USA.
Jeffrey S GretheCenter for Research in Biological Systems, University of California San Diego, La Jolla, CA 92093, USA.
Neil J McKennaDepartment of Molecular, Baylor College of Medicine, Houston, TX 77030, USA.
University of California San Diego · USBaylor College of Medicine · US

Funding

NIDDK Network Coordinating UnitU24DK097771 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Shuibing Chen, Jeffrey S. Grethe · 2013 to 2026
$20.9M
NDEx - the Network Data Exchange A Network Commons for BiologistsU24CA184427 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PRATT, DEXTER · 2014 to 2021
$5.7M
NCI NIH HHS U24 CA184427NIDDK NIH HHS U24 DK097771
6 · The paper itself

Abstract

Investigator-generated transcriptomic datasets interrogating circulating immune cell (CIC) gene expression in clinical type 1 diabetes (T1D) have underappreciated re-use value. Here, we repurposed these datasets to create an open science environment for the generation of hypotheses around CIC signaling pathways whose gain or loss of function contributes to T1D pathogenesis. We firstly computed sets of genes that were preferentially induced or repressed in T1D CICs and validated these against community benchmarks. We then inferred and validated signaling node networks regulating expression of these gene sets, as well as differentially expressed genes in the original underlying T1D case:control datasets. In a set of three use cases, we demonstrated how informed integration of these networks with complementary digital resources supports substantive, actionable hypotheses around signaling pathway dysfunction in T1D CICs. Finally, we developed a federated, cloud-based web resource that exposes the entire data matrix for unrestricted access and re-use by the research community.

Indexed as

BioinformaticsBiological databaseTranscriptomics

Identifiers

PMID35832893
PMCPMC9272393
OpenAlexW4285493097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.