Project description:Previously, we published a dataset of human blood plasma and serum samples of 10 healthy males and 10 healthy females, fractionated on a set of sorbents (cation exchange Toyopearl CM-650M, CM Bio-Gel A, SP Sephadex C-25 and anion exchange QAE Sephadex A-25) and analyzed by LC-MS/MS individually and pooled in equal amounts (Supplementary Table S1, Sheet 1) [33]. The mass spectrometry peptidomics data was deposited to the ProteomeXchange Consortium via the PRIDE partner repository (dataset identifiers PXD008141 and 10.6019/PXD008141). Direct download link: http://www.ebi.ac.uk/pride/archive/projects/PXD008141. We analyzed this dataset again within this work. The detailed information about the dataset of blood plasma/serum samples of 20 healthy donors fractionated on a set of sorbents is available in the original paper [33], including the clinical parameters of the donors, sample collection, plasma/serum fractionation, peptide extraction and LC-MS/MS analysis. 33. Arapidi, G. et al. Peptidomics dataset: Blood plasma and serum samples of healthy donors fractionated on a set of chromatography sorbents. Data Brief 18, 1204–1211 (2018).
2024-06-14 | PXD027587 | Pride
Project description:raw data UCEs minute wasps Cruaud et al. 2018
Project description:The effectiveness of the novel electrospray ionisation - liquid chromatography mass spectrometry (ESI-LC-MS) data de-noising technique, CRANE, is demonstrated by denoising the MS1 and all the MS2 windows of a matrisome, data-independent acquisi-tion (DIA) MS dataset from Krasny, et al. (2018).
Project description:The compressed file contains plink format file for the Affymetrix Human Origins SNP array data of 55 individuals generated and analyzed in Liu et al 2023 study of Taiwanese groups.
Project description:Bulk RNA-seq of stable induced trophoblast stem cells generated from mRNA reprogramming. Control samples in this dataset include H9 hESCS and established trophoblast stem cells from Okae et al. 2018.
Project description:We systematically determined the extent to which APPBP2 loss stimulate beige adipocyte biogenesis in a PRDM16-dependent fashion. To this end, we ran RNA-seq analysis in adipocytes that lack APPBP2 and/or PRDM16. By overlapping the transcriptome data with published dataset of brown/beige fat (Chondronikola et al., 2016; Perdikari et al., 2018; Shinoda et al., 2015a), we found that APPBP2 loss significantly increased 72 genes whose expression was enriched in brown adipocytes relative to white fat. Among 72 brown/beige fat-enriched genes, we found that 90.28% (65/72 genes) of them were regulated in a PRDM16-dependent manner. The data suggest that PRDM16 is required for the majority, if not all, of APPBP2’s action on brown fat genes
Project description:The compressed file contains plink format file for the Affymetrix Human Origins SNP array data of 260 individuals generated and analyzed in Liu et al 2020 study of 22 ethnolinguistic groups in Vietnam.
