Single-cell RNA sequencing was performed on three patients using the 10x genomics TCR profiling kits. For each patient, populations of T-cells were assayed for both TCR sequence and trancriptome-wide RNA-sequence. Two donors have a replicate experiment. From the GEO summary: "Knowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression...

Single-cell RNA sequencing was performed on eight donors using the InDrop v2 protocol. For each donor populations of CD45+ immune cells were assayed for trancriptome-wide RNA-sequence. At least one replicate was taken for each donor. From the GEO summary: "Knowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy...

The purpose of the dataset from the Flow Repository: "To determine the degree to which populations of intratumoral T cells, especially but not limited to T regs, initially found in single cell RNA sequencing data may be reproduced in mass cytometry data." From the description on Flow Repository: The data included for each of the 3 patients (BC12, BC13, and BC14, respectively) is presented in nine...

This dataset contains summary data visualizations and clinical data from a broad sampling of 1,084 breast invasive carcinomas from 1,084 patients. The data was gathered as part of the PanCancer Atlas initiative, which aims to answer big, overarching questions about cancer by examining the full set of tumors characterized in the robust TCGA dataset. The clinical data includes mutation count, information...

This dataset contains summary data visualizations and clinical data from the targeted sequencing of 10,000 clinical cases using the MSK-IMPACT assay. The clinical data includes mutation count, information about mutated genes, tumor mutational burden calculations, tissue site from which the sample was derived, tumor purity among other relevant data points. The data set also includes copy-number segment...

Summary from the GEO: "Metastasis-initiating cells dynamically adapt to the distinct microenvironments of different organs, but these early adaptations are poorly understood due to the limited sensitivity of in situ transcriptomics. We developed fluorouracil-labeled RNA sequencing (Flura-seq) for in situ analysis with unprecedented sensitivity. Flura-seq utilizes cytosine deaminase (CD) to convert...

Summary from the GEO: "Understanding the biology of rare cell populations in the context of their microenvironment requires an accurate analysis of the transcriptomes of these cells as expressed in situ. We developed fluorouracil-tagged RNA sequencing (Flura-seq) to characterize the transcriptomes of small cell subpopulations from a whole organ in model systems. The method utilizes cytosine deaminase...

This dataset contains summary data visualizations and clinical data from a broad sampling of HER2- and HER3-mutant tumors. The data was generated utilizing the MSK-IMPACT targeted sequencing test. The clinical data includes tumor type (based on the opensource OncoTree ontology developed at MSK), mutation count, information about mutated genes, Amplification Status, Best objective response rate, Bubble...

This dataset contains summary data visualizations and clinical data from 67 samples from 67 patients as part an NCI-60 cell line project to compile NCI-60 cell line high-throughput and high-content data into CellMiner, a genomic and pharmacologic database created by the National Cancer Center Institute. The clinical data includes deidentified patient and sample IDs, mutation counts, detailed cancer...

TCGA Breast Invasive Carcinoma. Source data from GDAC Firehose. Previously known as TCGA Provisional. This dataset contains summary data visualizations and clinical data from a broad sampling of 1,108 carcinomas from 1,101 patients. The data was gathered as part of the Broad Institute of MIT and Harvard Firehose initiative, a cancer analysis pipeline. The clinical data includes mutation count, information...