Early spatiotemporal evolution of the immune response elicited by adenovirus vector vaccination
RNA-seq (gene expression) · mouse · 195 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
- Mus musculus (mouse)
- Samples
- 195 samples: 195 samples, each with a distinct title — no replicated groupsGroups 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
- Early spatiotemporal evolution of the immune response elicited by adenovirus serotype 26 vector vaccination in micebioRxiv : the preprint server for biology · 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 GSE264344_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 PRJNA1102021 and SRA study SRP502699. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 195 sample titles: 195 distinct titles with little repetition. 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.
- GSM8216377 X20181026_B-26_1-1_Group4_EB5538-1of10_S16
- GSM8216378 X20181026_B-26_2-1_Group4_EB5538-1of10_S17
- GSM8216379 X20181026_B-26_3-1_Group4_EB5538-1of10_S18
- GSM8216380 X20181026_B-26_4-1_Group4_EB5538-1of10_S19
- GSM8216381 X20181026_B-26_5-1_Group4_EB5538-1of10_S20
- GSM8216382 X20181026_B-5_1-1_Group_3_EB5538-1of10_S11
- GSM8216383 X20181026_B-5_2-1_Group_3_EB5538-1of10_S12
- GSM8216384 X20181026_B-5_3-1_Group_3_EB5538-1of10_S13
- GSM8216385 X20181026_B-5_4-1_Group_3_EB5538-1of10_S14
- GSM8216386 X20181026_B-5_5-1_Group_3_EB5538-1of10_S15
- GSM8216387 X20181026_M-26_1-1_Group_2_EB5538-1of10_S6
- GSM8216388 X20181026_M-26_2-1_Group_2_EB5538-1of10_S7
- GSM8216389 X20181026_M-26_3-1_Group_2_EB5538-1of10_S8
- GSM8216390 X20181026_M-26_4-1_Group_2_EB5538-1of10_S9
- GSM8216391 X20181026_M-26_5-1_Group_2_EB5538-1of10_S10
- GSM8216392 X20181026_M-5_1-1_Group_1_EB5538-1of10_S1
- GSM8216393 X20181026_M-5_2-1_Group_1_EB5538-1of10_S2
- GSM8216394 X20181026_M-5_3-1_Group_1_EB5538-1of10_S3
- GSM8216395 X20181026_M-5_4-1_Group_1_EB5538-1of10_S4
- GSM8216396 X20181026_M-5_5-1_Group_1_EB5538-1of10_S5
- GSM8216397 X20181027_B_26_1_3_Group_10_EB5538_3of10_S6
- GSM8216398 X20181027_B_26_2_3_Group_10_EB5538_3of10_S7
- GSM8216399 X20181027_B_26_3_3_Group_10_EB5538_3of10_S8
- GSM8216400 X20181027_B_26_4_3_Group_10_EB5538_3of10_S9
- GSM8216401 X20181027_B_26_5_3_Group_10_EB5538_3of10_S10
- GSM8216402 X20181027_B_5_1_3_Group_9_EB5538_3of10_S1
- GSM8216403 X20181027_B_5_2_3_Group_9_EB5538_3of10_S2
- GSM8216404 X20181027_B_5_3_3_Group_9_EB5538_3of10_S3
- GSM8216405 X20181027_B_5_4_3_Group_9_EB5538_3of10_S4
- GSM8216406 X20181027_B_5_5_3_Group_9_EB5538_3of10_S5
- GSM8216407 X20181027_Ill__26_1_1_Group_6_EB5538_2of10_S6
- GSM8216408 X20181027_Ill__26_1_3_Group_12_EB5538_3of10_S16
- GSM8216409 X20181027_Ill__26_2_1_Group_6_EB5538_2of10_S7
- GSM8216410 X20181027_Ill__26_2_3_Group_12_EB5538_3of10_S17
- GSM8216411 X20181027_Ill__26_3_1_Group_6_EB5538_2of10_S8
- GSM8216412 X20181027_Ill__26_3_3_Group_12_EB5538_3of10_S18
- GSM8216413 X20181027_Ill__26_4_1_Group_6_EB5538_2of10_S9
- GSM8216414 X20181027_Ill__26_4_3_Group_12_EB5538_3of10_S19
- GSM8216415 X20181027_Ill__26_5_1_Group_6_EB5538_2of10_S10
- GSM8216416 X20181027_Ill__26_5_3_Group_12_EB5538_3of10_S20
+ 155 more — browse all 195 samples with per-sample file links →
- GSE261448 Early transcriptomic response of innate immune cells to subcutaneous BCG vaccination of mice 24 samples shares vaccination, early
- GSE280373 Spatiotemporal dynamics of the cardioimmune niche during lesion repair [scRNA-seq] 28 samples shares spatiotemporal
- GSE263901 The Rapid Evolution of Chronic Inflammation to Tolerance / Immune Suppression: Mapping Bidirectional Checkpoints 11 samples shares evolution
- GSE266977 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution 983 samples shares spatiotemporal
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares spatiotemporal
- GSE284137 Tissue and cellular spatiotemporal dynamics in colon aging 395 samples shares spatiotemporal
- GSE215960 Subclonal evolution revealed by single-cell profiles of expressed mutations identifies adaptation mechanisms to immunotherapy in melanoma [scRNA-seq] 192 samples shares evolution
- GSE341480 Spatiotemporal Clonal Architecture of the Newborn Mouse Forebrain 186 samples shares spatiotemporal
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.