| Title | Metabolomics: Multiomics Profiling Uncovers Pan-Cancer T-Cell Dynamics in Immunotherapy Response |
|---|---|
| Description | Metabolomics dataset |
| Organism | microbial eukaryotic metagenome |
| Data Type | Metabolome Data by Mass Spectrometry (MS) |
| Data Accessibility | Open-access |
| BioProject | PRJCA016919 |
| Release Date | 2024-09-12 |
| Submitter | Lu Pan (eudoraleer.cn@gmail.com) |
| Organization | Anonymous |
| Submission Date | 2023-05-15 |
HTTP download speed may be slow. It is highly recommended that you download the dataset using a dedicated FTP tool (such as FileZilla Client).
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX004037-01 | Concentrations of metabolites for samples with prefix A, B, P, and S | 2 | Metabolome Data by Mass Spectrometry (MS) | 3.64 MB | tar |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Deciphering immune predictors of immunotherapy response: A multiomics approach at the pan-cancer level | Cell Reports Medicine | 2025-03 | OMIX004038 OMIX004037 OMIX004036 OMIX004035 OMIX004032 | Deposit |
| Protocol for decoding immune predictors of response to immunotherapy through pan-cancer multiomics analysis | STAR Protocols | 2025-11 | OMIX004038 OMIX004037 OMIX004036 OMIX004035 OMIX004032 | Deposit |
| A single-cell pan-cancer analysis to show the variability of tumor-infiltrating myeloid cells in immune checkpoint blockade | Nature Communications | 2024-07 | OMIX004038 OMIX004037 OMIX004036 OMIX004035 OMIX004032 | Deposit |