RNA-seq data from gingival crevicular fluid of pregnant women for gestational diabetes mellitus (GDM) prediction
RNA-seq (gene expression) · human · 10 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
- 10 samples: 5 × CTL vs 5 × GDMGroups 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
- Gestational Diabetes Shapes Gingival Crevicular lncRNA Expression in Early Pregnancy: A Prospective Cohort StudyJournal of periodontal research · 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 GSE297755_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 PRJNA1266134 and SRA study SRP586952. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8998940 CTL1 CTL
- GSM8998941 CTL2 CTL
- GSM8998942 CTL3 CTL
- GSM8998943 CTL4 CTL
- GSM8998944 CTL5 CTL
- GSM8998945 GDM1 GDM
- GSM8998946 GDM2 GDM
- GSM8998947 GDM3 GDM
- GSM8998948 GDM4 GDM
- GSM8998949 GDM5 GDM
- GSE218697 RNA sequencing data of normal glucose tolerant (NGT) and gestational diabetes (GDM) pregnant women 12 samples shares gdm, gestational, pregnant, diabetes
- GSE237061 Transcriptomic profiling of human placenta in gestational diabetes mellitus 22 samples shares gestational, 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
- GSE263483 Effects of intrauterine hyperglycemia on offspring development in gestational diabetes mellitus based on placental transcriptomics 16 samples shares gestational, diabetes, mellitus
- GSE255075 High-throughput sequencing analysis of placental tissue from pregnant women with gestational diabetes and gestational hypertension 9 samples shares gestational, pregnant, diabetes
- GSE267259 RNAseq between gestational diabetes mellitus and healthy control groups 8 samples shares gestational, diabetes, mellitus
- GSE234840 Placenta-derived exosomes of gestational diabetes mellitus affect cell metabolism and cell function via transferring microRNAs 8 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
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.