Evidence map›Paper›PMID 30815178›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018

Integration of Transcriptomic Data Identifies Global and Cell-Specific Asthma-Related Gene Expression Signatures.

Mengyuan Kan, Maya Shumyatcher, Avantika Diwadkar, Gabriel Soliman, Blanca E Himes

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
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  13. Facilitating Analysis of Publicly Available ChIP-Seq Data for Integrative Studies.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019
    Article
  14. Integrating Biomedical Informatics Training into Existing High School Curricula.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
    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.

Mengyuan KanDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Maya ShumyatcherDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Avantika DiwadkarDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Gabriel SolimanDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Blanca E HimesDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.

Funding

CEBPD-Mediated Mechanisms of Glucocorticoid Insensitivity in Severe AsthmaR01HL133433 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HIMES, BLANCA E · 2017 to 2021
$3.2M
Integrative Analyses to Uncover Biological Mechanisms Mediating Gene Associations with Asthma Drug Response Among Minority ChildrenR01HL141992 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BURCHARD, ESTEBAN GONZALEZ, HIMES, BLANCA E · 2018 to 2019
$855k
NHLBI NIH HHS R01 HL133433NHLBI NIH HHS R01 HL141992
6 · The paper itself

Abstract

Over 140,000 transcriptomic studies performed in healthy and diseased cell and tissue types, at baseline and after exposure to various agents, are available in public repositories. Integrating results of transcriptomic datasets has been an attractive approach to identify gene expression signatures that are more robust than those obtained for individual datasets, especially datasets with small sample size. We developed Reproducible Analysis and Validation of Expression Data (RAVED), a pipeline that facilitates the creation of R Markdown reports detailing reproducible analysis of publicly available transcriptomic data, and used it to analyze asthma and glucocorticoid response microarray and RNA-Seq datasets. Subsequently, we used three approaches to integrate summary statistics of these studies and identify cell/tissue-specific and global asthma and glucocorticoid-induced gene expression changes. Transcriptomic integration methods were incorporated into an online app called REALGAR, where end-users can specify datasets to integrate and quickly obtain results that may facilitate design of experimental studies.

Indexed as

TranscriptomeAsthmaDatabases, GeneticDatasets as TopicGene Expression ProfilingGenesGlucocorticoidsHumansOligonucleotide Array Sequence AnalysisSequence Analysis, RNAGlucocorticoids

Identifiers

PMID30815178
PMCPMC6371257

What OpenQuestion holds

Textmetadata
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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.