Evidence map›Paper›PMID 34845446›Full record

ArticlebioRxiv : the preprint server for biology2021

Systematic temporal analysis of peripheral blood transcriptomes using

Xinge Wang, Mark Sanborn, Yang Dai, Jalees Rehman

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. 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 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Xinge WangDepartment of Biomedical Engineering, University of Illinois Colleges of Engineering and Medicine, Chicago, IL, USA.
Mark SanbornDepartment of Biomedical Engineering, University of Illinois Colleges of Engineering and Medicine, Chicago, IL, USA.
Yang DaiDepartment of Biomedical Engineering, University of Illinois Colleges of Engineering and Medicine, Chicago, IL, USA.
Jalees RehmanDepartment of Biomedical Engineering, University of Illinois Colleges of Engineering and Medicine, Chicago, IL, USA.
University of Illinois Urbana-Champaign · US

Funding

Synthetic Biology and Optogenetics CoreP01HL151327 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI REHMAN, JALEES · 2021 to 2025
$11.8M
Nanoparticle Targeting of Neutrophil Subpopulations in Inflammatory Lung InjuryR01HL149300 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MALIK, ASRAR B., REHMAN, JALEES · 2019 to 2022
$2.4M
Training Program in Personalized Cardiovascular Medicine (TPIPCVM)T32HL139439 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DARBAR, DAWOOD · 2018 to 2022
$2.1M
NHLBI NIH HHS P01 HL151327NHLBI NIH HHS R01 HL149300NHLBI NIH HHS T32 HL139439
6 · The paper itself

Abstract

Studying temporal gene expression shifts during disease progression provides important insights into the biological mechanisms that distinguish adaptive and maladaptive responses. Existing tools for the analysis of time course transcriptomic data are not designed to optimally identify distinct temporal patterns when analyzing dynamic differentially expressed genes (DDEGs). Moreover, there is a lack of methods to assess and visualize the temporal progression of biological pathways mapped from time course transcriptomic datasets. In this study, we developed an open-source R package

Indexed as

COVID-19Differential expressionGene expression dynamicsImmunologyInflammationRNA-sequencingSingle cell RNA-sequencingTemporal analysisTranscriptomics

Identifiers

PMID34845446
PMCPMC8629189
OpenAlexW3157176839

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.