Data · dataset · 2020
Placental whole genome RNA sequencing dataset of monochorionic diamniotic twin pregnancies with and without selective fetal growth restriction
Listed in Teesside University Research Data Repository
To compare placental transcriptomes between selective fetal growth restriction (sFGR) twins and normally grown twins (Control) in monochorionic diamniotic (MCDA) twin pregnancies, placentae from five sFGR and three control twin pairs were collected.
Description
Their placental transcriptomes were profiled by high throughput total whole genome RNA sequencing technology, which provides a global and deep examination of gene expression.
The log2 ratio of the placental transcriptome expression levels of the smaller twin to that of the larger co-twin were calculated in each twin pair. Results in sFGR pregnancies were compared to that of the control pregnancies. Differentially expressed transcripts identified as the within-pair log expression ratio difference between sFGR and control groups were determined by Mann-Whitney U test.
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Based on these differentially expressed transcripts, biological pathways and upstream regulators were predicted using the Ingenuity Pathway Analysis (IPA) software. This dataset describes total 1429 differentially expressed placental transcripts, total 126 predicted biological pathways and 419 upstream regulators in sFGR. The data provide further insight in transcriptomic level to the pathomechansim of pregnancies complicated by sFGR.
The dataset supports the research article entitled “Monochorionic twins with selective fetal growth restriction: insight from placental whole transcriptome analysis”.
Links
Where it is published
- DOI doi.org/10.17632/c35h764nmv.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Homo sapiens · Humanities · Life Sciences · Social Science
- Inferred from text
- RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/c35h764nmv.2 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:rna-seq | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Human'] |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |