TRPML3 regulates expression of development-related neuronal genes, and augments starvation-induced autophagy mediated transcriptional regulation in HEK cells
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: 3 × Vector control, Fed vs 3 × Vector control, Starved vs 3 × TRPML3, Fed vs 3 × TRPML3, StarvedGroups 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 GSE300275_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 PRJNA1280010 and SRA study SRP593543. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 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.
- GSM9056864 Vector control, Fed 1 Vector control, Fed
- GSM9056865 Vector control, Fed 2 Vector control, Fed
- GSM9056866 Vector control, Fed 3 Vector control, Fed
- GSM9056867 Vector control, Starved 1 Vector control, Starved
- GSM9056868 Vector control, Starved 2 Vector control, Starved
- GSM9056869 Vector control, Starved 3 Vector control, Starved
- GSM9056870 TRPML3, Fed 1 TRPML3, Fed
- GSM9056871 TRPML3, Fed 2 TRPML3, Fed
- GSM9056872 TRPML3, Fed 3 TRPML3, Fed
- GSM9056873 TRPML3, Starved 1 TRPML3, Starved
- GSM9056874 TRPML3, Starved 2 TRPML3, Starved
- GSM9056875 TRPML3, Starved 3 TRPML3, Starved
- GSE317890 Transcriptomic profiling of interferon responses induced by IVT sgRNAs in CRISPRi HEK293T cells 360 samples shares hek
- GSE226054 Comprehensive mRNA-sequencing-based characterization of three HEK-293 cell lines during an rAAV production process for Gene Therapy Applications 120 samples shares hek
- GSE315903 Temporal dynamics and functional annotation of transcriptome rhythmicity in HEK293T cells 39 samples shares hek
- GSE335700 RNA sequencing of vtRNA-knockout HEK293T cell lines 36 samples shares hek
- GSE308811 Time-Resolved Analysis Reveals FEN1 as a Crucial Factor of Circadian Transcriptome Dynamics and Core Cellular Homeostasis in HEK 293T cell 36 samples shares hek
- GSE280432 RNA sequencing of non-targetting ASOs on HEK293 and U2OS cells 36 samples shares hek
- GSE280430 RNA sequencing of AP1M1 KO HEK293 and U2OS 32 samples shares hek
- GSE288118 An arrayed CRISPR screen identifies knockout combinations improving antibody productivity in HEK293 cells 28 samples shares hek
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.