TFEB controls syncytiotrophoblast formation and estrogen production in placenta
RNA-seq (gene expression) · human · 56 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
- 56 samples: 14 conditions, mostly with about 4 replicates eachGroups 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
- TFEB controls syncytiotrophoblast formation and hormone production in placentaCell death and differentiation · 2024
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 GSE260620_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 PRJNA1082361 and SRA study SRP492674. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 56 samples.
How we read this: 14 replicated groups read from 56 sample titles; they account for 56 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.
- GSM8121071 BeWo_DMSO_1 BeWo_DMSO
- GSM8121072 BeWo_DMSO_2 BeWo_DMSO
- GSM8121073 BeWo_DMSO_3 BeWo_DMSO
- GSM8121074 BeWo_DMSO_4 BeWo_DMSO
- GSM8121075 BeWo_FRSK_1 BeWo_FRSK
- GSM8121076 BeWo_FRSK_2 BeWo_FRSK
- GSM8121077 BeWo_FRSK_3 BeWo_FRSK
- GSM8121078 BeWo_FRSK_4 BeWo_FRSK
- GSM8121079 BeWo_TFEB_KO_DMSO_1 BeWo_TFEB_KO_DMSO
- GSM8121080 BeWo_TFEB_KO_DMSO_2 BeWo_TFEB_KO_DMSO
- GSM8121081 BeWo_TFEB_KO_DMSO_3 BeWo_TFEB_KO_DMSO
- GSM8121082 BeWo_TFEB_KO_DMSO_4 BeWo_TFEB_KO_DMSO
- GSM8121083 BeWo_TFEB_KO_FRSK_1 BeWo_TFEB_KO_FRSK
- GSM8121084 BeWo_TFEB_KO_FRSK_2 BeWo_TFEB_KO_FRSK
- GSM8121085 BeWo_TFEB_KO_FRSK_3 BeWo_TFEB_KO_FRSK
- GSM8121086 BeWo_TFEB_KO_FRSK_4 BeWo_TFEB_KO_FRSK
- GSM8121087 BeWo_TFEB_KO_CTRL_DMSO_1 BeWo_TFEB_KO_CTRL_DMSO
- GSM8121088 BeWo_TFEB_KO_CTRL_DMSO_2 BeWo_TFEB_KO_CTRL_DMSO
- GSM8121089 BeWo_TFEB_KO_CTRL_DMSO_3 BeWo_TFEB_KO_CTRL_DMSO
- GSM8121090 BeWo_TFEB_KO_CTRL_DMSO_4 BeWo_TFEB_KO_CTRL_DMSO
- GSM8121091 BeWo_TFEB_KO_CTRL_FRSK_1 BeWo_TFEB_KO_CTRL_FRSK
- GSM8121092 BeWo_TFEB_KO_CTRL_FRSK_2 BeWo_TFEB_KO_CTRL_FRSK
- GSM8121093 BeWo_TFEB_KO_CTRL_FRSK_3 BeWo_TFEB_KO_CTRL_FRSK
- GSM8121094 BeWo_TFEB_KO_CTRL_FRSK_4 BeWo_TFEB_KO_CTRL_FRSK
- GSM8121095 BeWo_TFEB_KO_CTRL_TORIN-1_1 BeWo_TFEB_KO_CTRL_TORIN…
- GSM8121096 BeWo_TFEB_KO_CTRL_TORIN-1_2 BeWo_TFEB_KO_CTRL_TORIN…
- GSM8121097 BeWo_TFEB_KO_CTRL_TORIN-1_3 BeWo_TFEB_KO_CTRL_TORIN…
- GSM8121098 BeWo_TFEB_KO_CTRL_TORIN-1_4 BeWo_TFEB_KO_CTRL_TORIN…
- GSM8121099 BeWo_TFEB_KO_TFEB-GFP_DMSO_1 BeWo_TFEB_KO_TFEB-GFP_D…
- GSM8121100 BeWo_TFEB_KO_TFEB-GFP_DMSO_2 BeWo_TFEB_KO_TFEB-GFP_D…
- GSM8121101 BeWo_TFEB_KO_TFEB-GFP_DMSO_3 BeWo_TFEB_KO_TFEB-GFP_D…
- GSM8121102 BeWo_TFEB_KO_TFEB-GFP_DMSO_4 BeWo_TFEB_KO_TFEB-GFP_D…
- GSM8121103 BeWo_TFEB_KO_TFEB-GFP_FRSK_1 BeWo_TFEB_KO_TFEB-GFP_F…
- GSM8121104 BeWo_TFEB_KO_TFEB-GFP_FRSK_2 BeWo_TFEB_KO_TFEB-GFP_F…
- GSM8121105 BeWo_TFEB_KO_TFEB-GFP_FRSK_3 BeWo_TFEB_KO_TFEB-GFP_F…
- GSM8121106 BeWo_TFEB_KO_TFEB-GFP_FRSK_4 BeWo_TFEB_KO_TFEB-GFP_F…
- GSM8121107 BeWo_TFEB_KO_TFEB-GFP_TORIN-1_1 BeWo_TFEB_KO_TFEB-GFP_T…
- GSM8121108 BeWo_TFEB_KO_TFEB-GFP_TORIN-1_2 BeWo_TFEB_KO_TFEB-GFP_T…
- GSM8121109 BeWo_TFEB_KO_TFEB-GFP_TORIN-1_3 BeWo_TFEB_KO_TFEB-GFP_T…
- GSM8121110 BeWo_TFEB_KO_TFEB-GFP_TORIN-1_4 BeWo_TFEB_KO_TFEB-GFP_T…
+ 16 more — browse all 56 samples with per-sample file links →
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- GSE285217 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_A549 270 samples shares formation
- GSE283054 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_HepG2 270 samples shares formation
- GSE285424 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing [HT29] 270 samples shares formation
- GSE285554 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_SW1783 270 samples shares formation
- GSE311827 AP-1 Mediates Cellular Adaptation and Memory Formation [Bulk RNA-seq] 192 samples shares formation
- GSE226054 Comprehensive mRNA-sequencing-based characterization of three HEK-293 cell lines during an rAAV production process for Gene Therapy Applications 120 samples shares production
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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.