Transcriptomic profiling of human placenta in gestational diabetes mellitus
RNA-seq (gene expression) · human · 22 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
- 22 samples: 22 samples, each with a distinct title — no replicated groupsGroups 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
- Placental transcriptome profiling and immune signature differences in pregnancies with and without gestational diabetes mellitus: An observational studyMedicine · 2026
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 GSE237061_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 PRJNA993649 and SRA study SRP448620. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 22 sample titles: 22 distinct titles with little repetition. 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.
- GSM7594107 control_1, 4510389
- GSM7594108 control_2, 4586347
- GSM7594109 control_3, 4280660
- GSM7594110 control_4, 20-control-1
- GSM7594111 control_5, 20-control-2
- GSM7594112 control_6, 20-control-3
- GSM7594113 control_7, 20-control-4
- GSM7594114 control_8, 20-control-5
- GSM7594115 control_9, 20-control-7
- GSM7594116 control_10, 20-GDM-5
- GSM7594117 GDM_1, 4767893
- GSM7594118 GDM_2, 4062342
- GSM7594119 GDM_3, 4433712
- GSM7594120 GDM_4, 4162589
- GSM7594121 GDM_5, 4465211
- GSM7594122 GDM_6, 4511698
- GSM7594123 GDM_7, 20-GDM-1
- GSM7594124 GDM_8, 20-GDM-2
- GSM7594125 GDM_9, 20-GDM-3
- GSM7594126 GDM_10, 20-GDM-4
- GSM7594127 GDM_11, 20-GDM-7
- GSM7594128 GDM_12, 20-GDM-8
- GSE263483 Effects of intrauterine hyperglycemia on offspring development in gestational diabetes mellitus based on placental transcriptomics 16 samples shares gestational, placenta, diabetes, mellitus
- GSE284329 Multi-Omics Profiling Reveals Distinct Lipidomic and Transcriptomic Alterations in Gestational Diabetes Mellitus, Preeclampsia, and Coexistence of Both: Implications for Maternal and Neonatal Outcomes 17 samples shares gestational, diabetes, mellitus
- GSE280975 Single-cell transcriptomics reveals markers of regulatory T cell dysfunction in Gestational Diabetes Mellitus 33 samples shares gestational, diabetes, mellitus
- GSE296546 Diabetes mellitus is associated with a shared hyper-inflammatory immune response in melioidosis and tuberculosis patients: an observational case-control study 110 samples shares diabetes, mellitus
- GSE249311 Discrete placental gene expression signatures of diabetes during pregnancy 54 samples shares placenta, diabetes
- GSE255566 Single-cell RNA sequencing of peripheral blood mononuclear cells reveals complex cellular signalling signatures of type 2 diabetes mellitus 8 samples shares diabetes, mellitus
- GSE86469 Single cell transcriptomics defines human islet cell signatures and reveals cell-type-specific expression changes in type 2 diabetes [single cell] 638 samples shares diabetes
- GSE272342 Transcriptomics profiling of singleton and twin placentas in the absence or presence of preeclampsia. 45 samples shares placenta
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.