Single-cell Transcriptome and Crosstalk Analysis Reveals Immune Alterations and Key Pathways in the Bone Marrow of Knee Osteoarthritis Patients
Single-cell RNA-seq · human · 77 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 77 samples: 77 × BMAC scRNA OAGroups 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
- Single-cell transcriptome and crosstalk analysis reveals immune alterations and key pathways in the bone marrow of knee OA patientsiScience · 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 GSE274018_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1144164 and SRA study SRP524160. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 77 samples.
How we read this: 1 replicated groups read from 77 sample titles; they account for 77 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.
- GSM8441860 BMAC scRNA OA - 1 BMAC scRNA OA
- GSM8441861 BMAC scRNA OA - 2 BMAC scRNA OA
- GSM8441862 BMAC scRNA OA - 3 BMAC scRNA OA
- GSM8441863 BMAC scRNA OA - 4 BMAC scRNA OA
- GSM8441864 BMAC scRNA OA - 5 BMAC scRNA OA
- GSM8441865 BMAC scRNA OA - 6 BMAC scRNA OA
- GSM8441866 BMAC scRNA OA - 7 BMAC scRNA OA
- GSM8441867 BMAC scRNA OA - 8 BMAC scRNA OA
- GSM8441868 BMAC scRNA OA - 9 BMAC scRNA OA
- GSM8441869 BMAC scRNA OA - 10 BMAC scRNA OA
- GSM8441870 BMAC scRNA OA - 11 BMAC scRNA OA
- GSM8441871 BMAC scRNA OA - 12 BMAC scRNA OA
- GSM8441872 BMAC scRNA OA - 13 BMAC scRNA OA
- GSM8441873 BMAC scRNA OA - 14 BMAC scRNA OA
- GSM8441874 BMAC scRNA OA - 15 BMAC scRNA OA
- GSM8441875 BMAC scRNA OA - 16 BMAC scRNA OA
- GSM8441876 BMAC scRNA OA - 17 BMAC scRNA OA
- GSM8441877 BMAC scRNA OA - 18 BMAC scRNA OA
- GSM8441878 BMAC scRNA OA - 19 BMAC scRNA OA
- GSM8441879 BMAC scRNA OA - 20 BMAC scRNA OA
- GSM8441880 BMAC scRNA OA - 21 BMAC scRNA OA
- GSM8441881 BMAC scRNA OA - 22 BMAC scRNA OA
- GSM8441882 BMAC scRNA OA - 23 BMAC scRNA OA
- GSM8441883 BMAC scRNA OA - 24 BMAC scRNA OA
- GSM8441884 BMAC scRNA OA - 25 BMAC scRNA OA
- GSM8441885 BMAC scRNA OA - 26 BMAC scRNA OA
- GSM8441886 BMAC scRNA OA - 27 BMAC scRNA OA
- GSM8441887 BMAC scRNA OA - 28 BMAC scRNA OA
- GSM8441888 BMAC scRNA OA - 29 BMAC scRNA OA
- GSM8441889 BMAC scRNA OA - 30 BMAC scRNA OA
- GSM8441890 BMAC scRNA OA - 31 BMAC scRNA OA
- GSM8441891 BMAC scRNA OA - 32 BMAC scRNA OA
- GSM8441892 BMAC scRNA OA - 33 BMAC scRNA OA
- GSM8441893 BMAC scRNA OA - 34 BMAC scRNA OA
- GSM8441894 BMAC scRNA OA - 35 BMAC scRNA OA
- GSM8441895 BMAC scRNA OA - 36 BMAC scRNA OA
- GSM8441896 BMAC scRNA OA - 37 BMAC scRNA OA
- GSM8441897 BMAC scRNA OA - 38 BMAC scRNA OA
- GSM8441898 BMAC scRNA OA - 39 BMAC scRNA OA
- GSM8441899 BMAC scRNA OA - 40 BMAC scRNA OA
+ 37 more — browse all 77 samples with per-sample file links →
- GSE271107 Single-cell RNA sequencing of bone marrow aspirate samples from multiple myeloma and its precursor conditions 19 samples shares single-cell, marrow, bone
- GSE253355 Mapping the Cellular Biogeography of Human Bone Marrow Niches Using Single-Cell Transcriptomics 12 samples shares single-cell, marrow, bone
- GSE305558 Single-cell profiling reveals RAB13+ endothelial cells and profibrotic mesenchymal cells in aged human bone marrow 12 samples shares single-cell, marrow, bone
- GSE283079 Bulk RNA-seq of human knee osteoarthritis synovium 41 samples shares osteoarthritis, knee
- GSE253198 Cell and Transcriptomic Diversity of Infrapatellar Fat Pad during Knee Osteoarthritis [snRNA-seq] 21 samples shares osteoarthritis, knee
- GSE305971 Integrative single-cell analysis reveals malignant archetypes and proliferative hierarchies in multiple myeloma 2105 samples shares single-cell
- GSE243013 A single-cell atlas of immune heterogeneity in anti-PD1-treated non-small cell lung cancer 243 samples shares single-cell
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares single-cell
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.