Multi-Omics Profiling Reveals Distinct Lipidomic and Transcriptomic Alterations in Gestational Diabetes Mellitus, Preeclampsia, and Coexistence of Both: Implications for Maternal and Neonatal Outcomes
RNA-seq (gene expression) · human · 17 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 17 samples: 5 × CTL vs 5 × GDM vs 4 × PG vs 3 × PEGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Lipidomic and transcriptomic profiling reveal alterations in the coexistence of gestational diabetes mellitus and preeclampsia impacting maternal and neonatal outcomesScientific reports · 2025
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE284329_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1198604 and SRA study SRP551567. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 17 samples.
How we read this: 4 replicated groups read from 17 sample titles; they account for 17 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8682382 CTL1 CTL
- GSM8682383 CTL2 CTL
- GSM8682384 CTL3 CTL
- GSM8682385 CTL4 CTL
- GSM8682386 CTL5 CTL
- GSM8682387 GDM1 GDM
- GSM8682388 GDM2 GDM
- GSM8682389 GDM3 GDM
- GSM8682390 GDM4 GDM
- GSM8682391 GDM5 GDM
- GSM8682392 PE1 PE
- GSM8682393 PE2 PE
- GSM8682394 PE3 PE
- GSM8682395 PG1 PG
- GSM8682396 PG2 PG
- GSM8682397 PG3 PG
- GSM8682398 PG4 PG
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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.