JingleBells: A Repository of Immune-Related Single-Cell RNA-Sequencing Datasets

被引:32
作者
Ner-Gaon, Hadas [1 ]
Melchior, Ariel [1 ]
Golan, Nili [1 ]
Ben-Haim, Yael [1 ]
Shay, Tal [1 ]
机构
[1] Ben Gurion Univ Negev, Dept Life Sci, POB 653, IL-8410501 Beer Sheva, Israel
基金
以色列科学基金会;
关键词
HEMATOPOIETIC STEM-CELLS; GENE-EXPRESSION ANALYSIS; GENOMICS; SEQ; HETEROGENEITY; ARCHIVE; RECONSTRUCTION; UPDATE; GROWTH; CYCLE;
D O I
10.4049/jimmunol.1700272
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Recent advances in single-cell RNA sequencing (scRNA-seq) technology increase the understanding of immune differentiation and activation processes, as well as the heterogeneity of immune cell types. Although the number of available immune-related scRNA-seq datasets increases rapidly, their large size and various formats render them hard for the wider immunology community to use, and read-level data are practically inaccessible to the non computational immunologist. To facilitate datasets reuse, we created the JingleBells repository for immune-related scRNA-seq datasets ready for analysis and visualization of reads at the single-cell level (http://jinglebells.bgu.ac.il/). To this end, we collected the raw data of publicly available immune-related scRNA-seq datasets, aligned the reads to the relevant genome, and saved aligned reads in a uniform format, annotated for cell of origin. We also added scripts and a step-by-step tutorial for visualizing each dataset at the single-cell level, through the commonly used Integrated Genome Viewer (www. broadinstitute.org/igv/). The uniform scRNA-seq format used in JingleBells can facilitate reuse of scRNA-seq data by computational biologists. It also enables immunologists who are interested in a specific gene to visualize the reads aligned to this gene to estimate cell-specific preferences for splicing, mutation load, or alleles. Thus JingleBells is a resource that will extend the usefulness of scRNA-seq datasets outside the programming aficionado realm.
引用
收藏
页码:3375 / 3379
页数:5
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