Evidence map›Paper›PMID 38733519›Full record

ArticleGenes & genomics2024

Particulate matter-induced gene expression patterns in human-derived cells based on 11 public gene expression datasets.

Sanghyun Roh, Jeongeun Hwang, Joo-Hoo Park, Dae Jin Song, Jeong-An Gim

Abstract read
PubMed Publisher
In one paragraph

Article in Genes & genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sanghyun RohDepartment of Medical Science, Soonchunhyang University, Asan, 31538, Korea.
Jeongeun HwangDepartment of Medical IT Engineering, Soonchunhyang University, Asan, 31538, Korea.
Joo-Hoo ParkUpper Airway Chronic Inflammatory Diseases Laboratory, Korea University College of Medicine, Seoul, 08308, Korea.
Dae Jin SongDepartment of Pediatrics, Korea University Guro Hospital, Seoul, 08308, Korea. djsong506@korea.ac.kr.
Jeong-An GimDepartment of Medical Science, Soonchunhyang University, Asan, 31538, Korea. vitastar@sch.ac.kr.ORCID 0000-0001-7292-2520

Funding

Korea Environmental Industry & Technology Institute 1485019161
6 · The paper itself

Abstract

backgroundExposure to particulate matter (PM) and house dust mite (HDM) can change the expression patterns of inflammation-, oxidative stress-, and cell death-related genes. We investigated the changes in gene expression patterns owing to PM exposure.

objectiveThis study examined the changes in gene expression patterns following PM exposure.

methodsWe searched for differentially expressed genes (DEGs) following PM exposure using five cell line-based RNA-seq or microarray datasets and six human-derived datasets. The enrichment terms of the DEGs were assessed.

resultsDEG analysis yielded two gene sets. Thus, enrichment analysis was performed for each gene set, and the enrichment terms related to respiratory diseases were presented. The intersection of six human-derived datasets and two gene sets was obtained, and the expression patterns following PM exposure were observed.

conclusionsTwo gene sets were obtained for cells treated with PM and their expression patterns were presented following verification in human-derived cells. Our findings suggest that exposure to PM

Indexed as

Particulate MatterAnimalsCell LineGene Expression ProfilingGene Expression RegulationHumansPyroglyphidaeTranscriptomeParticulate MatterCell lineDifferentially expressed gene (DEG)Particulate matter (PM)

Identifiers

What OpenQuestion holds

Textmetadata
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.