Effects of exposure to the trichloroethylene metabolite S-(1,2-dichlorovinyl)-L-cysteine on HTR-8/SVneo differential gene expression under hypoxic vs. normoxic conditions (O2 < 2%)
RNA-seq (gene expression) · human · 16 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
- 16 samples: 4 × Hypoxia_10umDCVC_N vs 4 × Hypoxia_Control_N vs 4 × Normoxia_10umDCVC_N vs 4 × Normoxia_Control_NGroups 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
- Exposure to the trichloroethylene metabolite S-(1,2-dichlorovinyl)-L-cysteine under hypoxic conditions (%O(2) =2 %) alters differential gene expression and mitigates decreased invasion capacity, compared to normoxic conditions (%O(2) ≥ 21 %) in HTR-8/SVneo cellsToxicology letters · 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 GSE287691_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 PRJNA1214252 and SRA study SRP559073. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8749926 Hypoxia_10umDCVC_N1 Hypoxia_10umDCVC_N
- GSM8749927 Hypoxia_10umDCVC_N2 Hypoxia_10umDCVC_N
- GSM8749928 Hypoxia_10umDCVC_N3 Hypoxia_10umDCVC_N
- GSM8749929 Hypoxia_10umDCVC_N4 Hypoxia_10umDCVC_N
- GSM8749930 Hypoxia_Control_N1 Hypoxia_Control_N
- GSM8749931 Hypoxia_Control_N2 Hypoxia_Control_N
- GSM8749932 Hypoxia_Control_N3 Hypoxia_Control_N
- GSM8749933 Hypoxia_Control_N4 Hypoxia_Control_N
- GSM8749934 Normoxia_10umDCVC_N1 Normoxia_10umDCVC_N
- GSM8749935 Normoxia_10umDCVC_N2 Normoxia_10umDCVC_N
- GSM8749936 Normoxia_10umDCVC_N3 Normoxia_10umDCVC_N
- GSM8749937 Normoxia_10umDCVC_N4 Normoxia_10umDCVC_N
- GSM8749938 Normoxia_Control_N1 Normoxia_Control_N
- GSM8749939 Normoxia_Control_N2 Normoxia_Control_N
- GSM8749940 Normoxia_Control_N3 Normoxia_Control_N
- GSM8749941 Normoxia_Control_N4 Normoxia_Control_N
- GSE293321 Transcriptomic profiling of human trophoblast stem cells (hTSCs) and HTR-8/SVneo cells under normal and MYBL2 knockdown conditions 12 samples shares htr-8, conditions
- GSE291361 Differential impact of inflammatory microglia signals and chronic HIV-1 Tat exposure on A1-like polarization of astrocytes 24 samples shares differential, exposure
- GSE290313 Differentially expressed transcripts associated with depressive symptoms during pregnancy and postpartum 301 samples shares differential
- GSE278723 Differential Roles of Astrocytic CSF1 in Alzheimer's Disease and Cerebral Amyloid Angiopathy: Insights from Transcriptomic Analysis 248 samples shares differential
- GSE306664 Revealing differential type I and type II IFN responses in different immune cells in various human diseases by a new IFNs transcriptomic atlas 131 samples shares differential
- GSE274606 Differential Induction of Interferon-Stimulated Genes by Cell-Based Versus Egg-Based Quadrivalent Influenza Vaccines in Children During the 2018-2019 Season 103 samples shares differential
- GSE315928 Differential T cell clonal dynamics underlie outcomes to frontline chemoimmunotherapy in advanced gastric cancer [paired scRNA/TCR-seq] 94 samples shares differential
- GSE272200 Differential gene expression in thalamic postmortem tissue of subjects with obsessive compulsive disorder 85 samples shares differential
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.