Dataset Information

Eaves_12_breast_dataset - samples

ABSTRACT: Mammary cell samples from donors 28/32/33. Contains 12 MiSeq sequence files and 12 alignment files derived from HiSeq runs.

PROVIDER: EGAD00001001439 | EGA |

REPOSITORIES: EGA

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Publications

Barcoding reveals complex clonal dynamics of de novo transformed human mammary cells.

Nguyen Long V LV Pellacani Davide D Lefort Sylvain S Kannan Nagarajan N Osako Tomo T Makarem Maisam M Cox Claire L CL Kennedy William W Beer Philip P Carles Annaick A Moksa Michelle M Bilenky Misha M Balani Sneha S Babovic Sonja S Sun Ivan I Rosin Miriam M Aparicio Samuel S Hirst Martin M Eaves Connie J CJ

Nature 20151202 7581

Most human breast cancers have diversified genomically and biologically by the time they become clinically evident. Early events involved in their genesis and the cellular context in which these events occur have thus been difficult to characterize. Here we present the first formal evidence of the shared and independent ability of basal cells and luminal progenitors, isolated from normal human mammary tissue and transduced with a single oncogene (KRAS(G12D)), to produce serially transplantable, ...[more]

PMID: 26633636

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Project description:IL-33 is a nuclear cytokine from the IL-1 family that plays important roles in health and disease. Under healthy conditions, IL-33 is constitutively expressed to high levels in the nucleus of producing cells in various human and mouse tissues. The extracellular function of IL-33 cytokine has been well documented, but it remains unclear whether intracellular nuclear IL-33 has additional functions in the nucleus. Here, we used a global proteomic approach based on quantification of 5000 individual proteins by high-resolution mass spectrometry to compare the extracellular and intracellular roles of IL-33 in primary human endothelial cells, a major source of IL-33 protein in human tissues. Large-scale analysis of protein expression was performed either after stimulation of the cells with the IL-33 mature form IL-3395-270 (during 6h or 24h) or after siRNA knockdown of intracellular IL-33 (two experiments, each with a different pool of distinct siRNAs, noted siRNA1 and siRNA2). In each case, proteins were fractionated by 1D SDS-PAGE in 12 gel bands, and label-free quantitative analysis was performed. The present dataset contains the files for the two experiments of knockdown of endogenous nuclear IL-33 expression: - RNA silencing strategy 1. Knockdown of endogenous nuclear IL-33 expression was performed with a pool of four distinct siRNAs (Dharmacon ON-TARGETplus SMARTpool IL-33 siRNAs) that have been specifically modified for efficient silencing of the target gene with reduced off-target effects. Cells transfected with these siRNA duplexes (si1) were compared with those transfected with the provided controls (CTsi1). Three independent biological replicates (noted _A, _B, _C) were prepared and analyzed for each condition, leading to 6 different samples. Each of them was fractionated into 12 gel bands analyzed by nanoLC-MS/MS, leading to 72 raw files. - RNA silencing strategy 2. The second knockdown strategy was based on the use of an independent pool of three siRNAs targeting IL-33, predesigned by another provider using new and critical siRNA design rules (Sigma MISSION Predesigned Il-33 siRNAs based on Rosetta siRNA design algorithm). Cells transfected with these siRNA duplexes (si2) were compared with those transfected with the provided controls (CTsi2). Three independent biological replicates (noted _A, _B, _C) were prepared and analyzed for each condition, leading to 6 different samples. Each of them was fractionated into 12 gel bands analyzed by nanoLC-MS/MS, leading to 72 raw files.

Dataset Information

Eaves_12_breast_dataset - samples

Publications

Barcoding reveals complex clonal dynamics of de novo transformed human mammary cells.

Similar Datasets

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