Omics · study · 2026
Placental transcriptome and autism
Listed in NCBI GEO
Description
Here, using a nested case-cohort design within an Australian population-derived prebirth cohort study (n=1074), we assessed the differential expression of genes and pathways in the placenta, comparing 43 children with a paediatrician-confirmed diagnosis of autism using DSM-5 criteria with a random sample of 120 participants without autism. We identified 1,644 differentially expressed genes (DEGs; FDR<0.05) in the placenta of children with autism compared to the control sub-cohort.
The top enriched pathways related to mitochondrial function, oxidative stress and ribosomal pathways. CYP1A1, the most important xenobiotic-metabolising enzyme of the placenta, was the top downregulated DEG in the placenta of children with autism, while immuno-regulatory human leukocyte antigen (HLA)-related genes were among the top upregulated DEGs. We also used sparse partial least squares discriminant analysis to predict autism from the transcriptomic data.
Read the rest (1 more)
This approach resulted in a median sensitivity of 0.57 and median specificity of 0.92 for predicting subsequent autism diagnosis.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE279nnn/GSE279194 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE279194 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1171354 ncbi.nlm.nih.gov/bioproject/PRJNA1171354 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Genetics 70% · Longitudinal study 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE279194 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3105 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].local:method:longitudinal-study | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |