Time-course Transcriptomics Reveals Impact of Treponema pallidum on Microvascular Endothelial Cell Function and Phenotype
RNA-seq (gene expression) · human · 39 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
- 39 samples: 8 conditions, mostly with about 5 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
- Time-course Transcriptomics Reveals the Impact of Treponema pallidum on Microvascular Endothelial Cell Function and PhenotypebioRxiv : the preprint server for biology · 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 GSE281329_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 PRJNA1183389 and SRA study SRP543843. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 39 samples.
How we read this: 8 replicated groups read from 39 sample titles; they account for 39 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.
- GSM8618818 hCMEC/d3 cells, 12 hours control exposure biorep 1 hCMEC/d3 cells, 12 hour…
- GSM8618819 hCMEC/d3 cells, 12 hours control exposure biorep 2 hCMEC/d3 cells, 12 hour…
- GSM8618820 hCMEC/d3 cells, 12 hours control exposure biorep 3 hCMEC/d3 cells, 12 hour…
- GSM8618821 hCMEC/d3 cells, 12 hours control exposure biorep 4 hCMEC/d3 cells, 12 hour…
- GSM8618822 hCMEC/d3 cells, 12 hours control exposure biorep 5 hCMEC/d3 cells, 12 hour…
- GSM8618823 hCMEC/d3 cells, 24 hours control exposure biorep 1 hCMEC/d3 cells, 24 hour…
- GSM8618824 hCMEC/d3 cells, 24 hours control exposure biorep 2 hCMEC/d3 cells, 24 hour…
- GSM8618825 hCMEC/d3 cells, 24 hours control exposure biorep 3 hCMEC/d3 cells, 24 hour…
- GSM8618826 hCMEC/d3 cells, 24 hours control exposure biorep 4 hCMEC/d3 cells, 24 hour…
- GSM8618827 hCMEC/d3 cells, 24 hours control exposure biorep 5 hCMEC/d3 cells, 24 hour…
- GSM8618828 hCMEC/d3 cells, 45 minutes control exposure biorep 1 hCMEC/d3 cells, 45 minu…
- GSM8618829 hCMEC/d3 cells, 45 minutes control exposure biorep 2 hCMEC/d3 cells, 45 minu…
- GSM8618830 hCMEC/d3 cells, 45 minutes control exposure biorep 3 hCMEC/d3 cells, 45 minu…
- GSM8618831 hCMEC/d3 cells, 45 minutes control exposure biorep 4 hCMEC/d3 cells, 45 minu…
- GSM8618832 hCMEC/d3 cells, 45 minutes control exposure biorep 5 hCMEC/d3 cells, 45 minu…
- GSM8618833 hCMEC/d3 cells, 4 hours control exposure biorep 1 hCMEC/d3 cells, 4 hours…
- GSM8618834 hCMEC/d3 cells, 4 hours control exposure biorep 2 hCMEC/d3 cells, 4 hours…
- GSM8618835 hCMEC/d3 cells, 4 hours control exposure biorep 3 hCMEC/d3 cells, 4 hours…
- GSM8618836 hCMEC/d3 cells, 4 hours control exposure biorep 4 hCMEC/d3 cells, 4 hours…
- GSM8618837 hCMEC/d3 cells, 4 hours control exposure biorep 5 hCMEC/d3 cells, 4 hours…
- GSM8618838 hCMEC/d3 cells, 12 hours T. pallidum exposure biorep 1 hCMEC/d3 cells, 12 hour…
- GSM8618839 hCMEC/d3 cells, 12 hours T. pallidum exposure biorep 2 hCMEC/d3 cells, 12 hour…
- GSM8618840 hCMEC/d3 cells, 12 hours T. pallidum exposure biorep 3 hCMEC/d3 cells, 12 hour…
- GSM8618841 hCMEC/d3 cells, 12 hours T. pallidum exposure biorep 4 hCMEC/d3 cells, 12 hour…
- GSM8618842 hCMEC/d3 cells, 12 hours T. pallidum exposure biorep 5 hCMEC/d3 cells, 12 hour…
- GSM8618843 hCMEC/d3 cells, 24 hours T. pallidum exposure biorep 1 hCMEC/d3 cells, 24 hour…
- GSM8618844 hCMEC/d3 cells, 24 hours T. pallidum exposure biorep 2 hCMEC/d3 cells, 24 hour…
- GSM8618845 hCMEC/d3 cells, 24 hours T. pallidum exposure biorep 3 hCMEC/d3 cells, 24 hour…
- GSM8618846 hCMEC/d3 cells, 24 hours T. pallidum exposure biorep 4 hCMEC/d3 cells, 24 hour…
- GSM8618847 hCMEC/d3 cells, 24 hours T. pallidum exposure biorep 5 hCMEC/d3 cells, 24 hour…
- GSM8618848 hCMEC/d3 cells, 45 minutes T. pallidum exposure biorep 1 hCMEC/d3 cells, 45 minu…
- GSM8618849 hCMEC/d3 cells, 45 minutes T. pallidum exposure biorep 2 hCMEC/d3 cells, 45 minu…
- GSM8618850 hCMEC/d3 cells, 45 minutes T. pallidum exposure biorep 3 hCMEC/d3 cells, 45 minu…
- GSM8618851 hCMEC/d3 cells, 45 minutes T. pallidum exposure biorep 4 hCMEC/d3 cells, 45 minu…
- GSM8618852 hCMEC/d3 cells, 4 hours T. pallidum exposure biorep 1 hCMEC/d3 cells, 4 hours…
- GSM8618853 hCMEC/d3 cells, 4 hours T. pallidum exposure biorep 2 hCMEC/d3 cells, 4 hours…
- GSM8618854 hCMEC/d3 cells, 4 hours T. pallidum exposure biorep 3 hCMEC/d3 cells, 4 hours…
- GSM8618855 hCMEC/d3 cells, 4 hours T. pallidum exposure biorep 4 hCMEC/d3 cells, 4 hours…
- GSM8618856 hCMEC/d3 cells, 4 hours T. pallidum exposure biorep 5 hCMEC/d3 cells, 4 hours…
- GSE267498 Generation of hiPSC-derived brain microvascular endothelial cells using a combination of directed differentiation and transcriptional reprogramming strategies 37 samples shares microvascular, endothelial
- GSE242299 Single-cell transcriptional profiling of clear cell renal cell carcinoma reveals a tumor-associated endothelial tip cell phenotype 31 samples shares endothelial, phenotype
- GSE277967 Reconstitution of Human Brain Cell Diversity in Organoids via Four Protocols [time-course bulk RNA-seq] 768 samples shares time-course
- GSE275647 Role of Cancer-Associated Fibroblasts in Prognostic Stratification of Advanced-Stage Gastric Cancer through Interacting with Endothelial and Malignant Epithelial Cells [AGC RNA-seq] 216 samples shares endothelial
- GSE237429 Single-cell transcriptomics reveals distinct molecular alterations of human renal cell carcinoma-derived endothelial cells that are stable in ex vivo primary culture 19 samples shares endothelial
- GSE286040 Endothelial Sensitivity to Pro-Fibrotic Signals Links Systemic exposure to Pulmonary Fibrosis 96 samples shares endothelial
- GSE254249 Remodeling of T and endothelial cells during total neoadjuvant therapy in rectal cancer 92 samples shares endothelial
- GSE237427 Single-cell transcriptomics reveals distinct molecular alterations of human renal cell carcinoma-derived endothelial cells that are stable in ex vivo primary culture [RNA-Seq] 11 samples shares endothelial
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.