Mechanistic Insights into Lead Acetate-Induced Neurotoxicity Using RNA-Seq Analysis
RNA-seq (gene expression) · human · 12 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
- 12 samples: 6 conditions, mostly in duplicateGroups 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.
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 GSE285507_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 PRJNA1204108 and SRA study SRP554306. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8703583 LUHMES cells, 3hours, Control-1 LUHMES cells, 3hours, C…
- GSM8703584 LUHMES cells, 3hours, Pb-acet,1 μM-1 LUHMES cells, 3hours, P…
- GSM8703585 LUHMES cells, 3hours, Pb-acet,10 μM-1 LUHMES cells, 3hours, P…
- GSM8703586 LUHMES cells, 24hours, Control-1 LUHMES cells, 24hours, …
- GSM8703587 LUHMES cells, 24hours, Pb-acet,1 μM-1 LUHMES cells, 24hours, …
- GSM8703588 LUHMES cells, 24hours, Pb-acet,10 μM-1 LUHMES cells, 24hours, …
- GSM8703589 LUHMES cells, 3hours, Control-2 LUHMES cells, 3hours, C…
- GSM8703590 LUHMES cells, 3hours, Pb-acet,1 μM-2 LUHMES cells, 3hours, P…
- GSM8703591 LUHMES cells, 3hours, Pb-acet,10 μM-2 LUHMES cells, 3hours, P…
- GSM8703592 LUHMES cells, 24hours, Control-2 LUHMES cells, 24hours, …
- GSM8703593 LUHMES cells, 24hours, Pb-acet,1 μM-2 LUHMES cells, 24hours, …
- GSM8703594 LUHMES cells, 24hours, Pb-acet,10 μM-2 LUHMES cells, 24hours, …
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares rna-seq
- GSE308103 Single-nucleus RNA-sequencing (snRNA-seq) analysis of normal lung tissues, precursor lung lesions and invasive lung adenocarcinomas 75 samples shares rna-seq
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares rna-seq
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares rna-seq
- GSE205154 Bulk RNA-Seq gene expression data for 289 primary and metastatic pancreatic ductal adenocarcinoma (PDAC) tumor samples from FFPE blocks. 289 samples shares rna-seq
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples shares rna-seq
- GSE317207 Transcriptomic profiling of human hepatocellular carcinoma biopsy samples using bulk RNA-seq 33 samples shares rna-seq
- GSE348445 Identification and Characterization of Adrenergic and Mesenchymal Cancer Cell States in Neuroblastoma Using Spatial-Omics [RNA-Seq] 33 samples shares rna-seq
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.