拉萨汉族人群转录组数据

为深入解析高原反应及高原习服过程中的基因组表达谱模式，我们对拉萨的75名汉族个体开展了基因组表达谱的分析。我们在拉萨采集75名汉族个体的外周血样本，并用红细胞裂解液（Tiangen）处理外周血，4000 rpm离心10 min，分离提取白细胞，使用TRIzol法提取每个样本的总RNA，然后使用Poly（A）捕获法构建了20个文库。Poly（A）+ mRNA文库用oligo（dT）珠从每个样本的1 g总RNA中分离。RNA-seq文库的构建按照TruSeq RNA文库制备方案进行，并使用Novaseq平台对20个RNA文库进行双端测序，测序结果为150-bp reads的fastq文件，每个样本数据量均超过6.0 Gbp。拉萨汉族的转录组数据，可与平原人群转录组数据比较分析，筛选入藏前后的显著差异表达基因，并注释差异表达基因调控的生物学功能，可深入解析高原反应及高原习服过程中的基因表达变化模式及功能调控网络机制。

To thoroughly elucidate the genome-wide expression profiling patterns during altitude sickness and high-altitude acclimatization, we conducted genome-wide expression profiling analysis on 75 Han individuals residing in Lhasa. We collected peripheral blood samples from these 75 Han individuals in Lhasa, treated the samples with red blood cell lysis buffer (Tiangen), and centrifuged them at 4000 rpm for 10 minutes to isolate and extract leukocytes. Total RNA from each sample was extracted using the TRIzol method. Subsequently, 20 sequencing libraries were constructed via poly(A) capture. The poly(A)+ mRNA libraries were isolated from 1 g of total RNA per sample using oligo(dT) beads. RNA-seq libraries were prepared following the TruSeq RNA Library Prep Kit protocol, and all 20 libraries were subjected to paired-end sequencing on the NovaSeq platform, producing fastq files containing 150-bp reads, with each sample generating over 6.0 Gbp of sequencing data. The transcriptomic data of Han individuals in Lhasa can be comparatively analyzed with transcriptomic data from lowland populations to screen for significantly differentially expressed genes before and after sojourning on the Tibetan Plateau, annotate the biological functions regulated by these differentially expressed genes, and further dissect the gene expression change patterns and functional regulatory network mechanisms underlying altitude sickness and high-altitude acclimatization.

搜集汇总

背景与挑战

背景概述

该数据集包含75名拉萨汉族个体的转录组数据，旨在通过RNA-seq技术分析高原反应及习服过程中的基因表达变化。数据以fastq格式提供，总大小279.47 GB，覆盖2021年至2022年，可用于与平原人群比较，筛选差异表达基因并研究相关生物学功能调控网络。