Whole-Transcriptomic Profiling of Sorted Human Renal Cell Carcinoma Immune Populations

It is poorly understood how the tumor immune micro-environment influences disease progression in renal cell carcinoma (RCC). Here we performed whole-transcriptomic profiling of immune cell populations which were derived from RCC patients representing distinct flow-sorted immune lineages.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001009393	Tumor infiltrated Macrophages and Monocytes were sorted on Aria II (Becton Dickinson) into TRIzol LS and flash frozen. RNA was extracted with chloroform. Isopropanol and linear acrylamide were added, and the RNA was precipitated with 75% ethanol. Total RNA (0.649–1 ng) with RNA integrity numbers 6.8 to 10 underwent amplification using the SMART-Seq v4. Ultra Low Input RNA Kit (Clontech; cat. #63488). Amplified cDNA (15 ng) was used to prepare libraries with the KAPA Hyper Prep Kit (Kapa Biosystems, KK8504) using 8 cycles of PCR.	Illumina HiSeq 2500	9

Publications	Citations
Tumor-associated macrophages expressing the transcription factor IRF8 promote T cell exhaustion in cancer. Nixon BG, Kuo F, Ji L, Liu M, Capistrano K, Do M, Franklin RA, Wu X, Kansler ER, Srivastava RM, Purohit TA, Sanchez A, Vuong L, Krishna C, Wang X, Morse Iii HC, Hsieh JJ, Chan TA, Murphy KM, Moon JJ, Hakimi AA, Li MO. Immunity 55: 2022 2044-2058.e5	53