ABSTRACT: Genotype data for 140 present-day individuals from five populations in Pakistan in The first horse herders and the impact of early Bronze Age steppe expansions into Asia DOI: 10.1126/science.aar7711. Sampling details are presented in supplementary section S2.1 Data generation
Project description:We have genotyped 140 individuals from 5 populations in Pakistan, using the OmniExpressExome-8 array, which includes approximately one million autosomal SNP markers.
Project description:The transition from hunting and gathering to plant and animal domestication was one of the most important cultural and technological revolutions in human history. According to archeologists and paleoanthropologists, this transition triggered major demographic expansions. However, few genetic studies have found traces of Neolithic expansions in the current repartition of genetic polymorphism, pointing rather toward Paleolithic expansions. Here, we used microsatellite autosomal data to investigate the past demographic history of 87 African and Eurasian human populations with contrasted lifestyles (nomadic hunter-gatherers, semi-nomadic herders and sedentary farmers). Likely due to the combination of a higher mutation rate and the possibility to analyze several loci as independent replicates of the coalescent process, the analysis of microsatellite data allowed us to infer more recent expansions than previous genetic studies, potentially resulting from the Neolithic transition. Despite the variability in their location and environment, we found consistent expansions for all sedentary farmers, while we inferred constant population sizes for all hunter-gatherers and most herders, which could result from constraints linked to a nomadic or semi-nomadic lifestyle and/or competition for land between herders and farmers. As an exception, we inferred expansions for Central Asian herders. This might be linked with the arid environment of this area, which may have been more favorable to nomadic herders than to sedentary farmers. Alternatively, current Central Asian herders may descent from populations who have first experienced a transition from hunter-gathering to sedentary agropastoralism, and then a second transition to nomadic herding.
Project description:Proximity labeling approaches have been widely utilized to define protein interactomes. Due to the inherent promiscuity of proximity labeling using TurboID-based approaches, identification and adoption of appropriate labeling controls is a pivotal step to mitigate background interference and enhance interactome assignment accuracy. Here, we evaluate the effectiveness of both expression controls and data normalization strategies in generating high confidence interactome maps. This dataset contains proximity labeling proteomics results, including the TurboID quality control selection section, the TurboID-GFP expression section, and the RNF10 proximity labeling section. It serves as the raw data for Figures 1, 2, and 4 in the article, as well as Supplementary Figures 1, 2, and 4.
Project description:Proximity labeling approaches have been widely utilized to define protein interactomes. Due to the inherent promiscuity of proximity labeling using TurboID-based approaches, identification and adoption of appropriate labeling controls is a pivotal step to mitigate background interference and enhance interactome assignment accuracy. Here, we evaluate the effectiveness of both expression controls and data normalization strategies in generating high confidence interactome maps. This dataset contains whole-cell extract proteomics results, including the TurboID quality control selection section, the TurboID-GFP expression section, and the RNF10 proximity labeling section. It serves as the raw data for Figures 1, 2, and 4 in the article, as well as Supplementary Figures 1, 2, and 4.
Project description:Ex vivo colorectal adenocarcinoma samples were analysed by desorption electrospray ionisation using an Orbitrap mass spectrometer. The samples were analysed in negative mode over the m/z range 600-1000. Some of the samples presented in this dataset were analysed as part of [1]. The study makes available imzML files of profile and centroid mode data, as well as low- and high- resolution optical image files of H&E-stained sections. These files can be found in the zip file named after each tissue section. </p> Ref:</br> [1] Gerbig S, Golf O, Balog J, Denes J, Baranyai Z, Zarand A, Raso E, Timar J, Takats Z. Analysis of colorectal adenocarcinoma tissue by desorption electrospray ionization mass spectrometric imaging. Anal Bioanal Chem. 2012 Jun;403(8):2315-25. doi:10.1007/s00216-012-5841-x. PMID:22447214</br>
Project description:<p>To learn about the etiology of lung cancer among never-smoking women in Asia, we formed the Female Lung Cancer Consortium in Asia (FLCCA), which includes studies of lung cancer in Eastern Asia and conducted a GWAS. We analyzed a total of 5510 lung cancer cases and 4544 controls and identified 3 novel loci (Lan et al., 2012). Of these study subjects, 4922 lung cancer cases and 3959 controls are available for posting.</p> <p>Lan et al.., Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia. Nat Genet. 2012 Dec;44(12):1330-5. doi: 10.1038/ng.2456. Epub 2012 Nov 11. PubMed PMID: 23143601.</p>
Project description:The final goal of this study is to develop a short term and highly accurate prediction method of carcinogenicity based on gene expression profiles of rats subjected to carcinogen exposure. We conducted 3 day-, 14 day- and 28 day-repeated dose experiments in male F344 rats with 47 carcinogens and 26 non-carcinogens, and the gene expression profiles in liver were investigated by custom glass microarrays. Supplementary file "73 Compounds for training" indicates 47 carcinogens and 26 non-carcinogens. Supplementary file "15 Compounds for test" lists the other compounds which are for test.
Project description:Individual pigs [(Large White × Landrace) x Hylean Maxgro] divergent in residual feed intake were sampled for hepatic transcriptome profiling at day 140.
Project description:Proximity labeling approaches have been widely utilized to define protein interactomes. Due to the inherent promiscuity of proximity labeling using TurboID-based approaches, identification and adoption of appropriate labeling controls is a pivotal step to mitigate background interference and enhance interactome assignment accuracy. Here, we evaluate the effectiveness of both expression controls and data normalization strategies in generating high confidence interactome maps. This dataset contains proximity labeling proteomics results, including the proximity labeling section of TurboID-HUWE1 in the HAP1 cell line. It serves as the raw data for Supplementary Figure 5 in the article.
