ArticleScientific data2019
Single-cell RNA sequencing of a European and an African lymphoblastoid cell line.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Accurate prediction of cohesin and RNA Polymerase II-associated chromatin interactions using convolutional neural networks.Nucleic acids research · 2026Article
- Epstein-Barr Virus Infection at Single-Cell Resolution.Journal of medical virology · 2026Review
- Distinct Co-methylation Patterns in African and European Populations and Their Genetic Associations.Genomics, proteomics & bioinformatics · 2025Article
- How quantum computing can enhance biomarker discovery.Patterns (New York, N.Y.) · 2025Review
- Therapeutic Target Discovery for Multiple Myeloma: Identifying Druggable Genes via Mendelian Randomization.Biomedicines · 2025Article
- CTCF-anchored chromatin loop dynamics during human meiosis.BMC biology · 2025Article
- Unveiling the role of chromosome structure morphology on gene function through chromosome conformation analysis.Genome biology · 2025Article
- Article
- A comprehensive single cell data analysis of lymphoblastoid cells reveals the role of super-enhancers in maintaining EBV latency.Journal of medical virology · 2023Article
- Article
- Time-resolved transcriptomes reveal diverse B cell fate trajectories in the early response to Epstein-Barr virus infection.Cell reports · 2022Article
- Uncovering the Principles of Genome Folding by 3D Chromatin Modeling.Cold Spring Harbor perspectives in biology · 2022Review
- Transcriptome Analysis on Key Metabolic Pathways in Rhodotorula mucilaginosa Under Pb(II) Stress.Applied and environmental microbiology · 2022Article
- Epstein-Barr virus perpetuates B cell germinal center dynamics and generation of autoimmune-associated phenotypesFrontiers in immunology · 2022Article
- Single-cell RNA sequencing of freshly isolated bovine milk cells and cultured primary mammary epithelial cells.Scientific data · 2021Article
- Extending the lymphoblastoid cell line model for drug combination pharmacogenomics.Pharmacogenomics · 2021Review
- The Transcriptome of SH-SY5Y at Single-Cell Resolution: A CITE-Seq Data Analysis Workflow.Methods and protocols · 2021Article
- Article
- Ultrastructural visualization of 3D chromatin folding using volume electron microscopy and DNA in situ hybridization.Nature communications · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In biomedical research, lymphoblastoid cell lines (LCLs), often established by in vitro infection of resting B cells with Epstein-Barr virus, are commonly used as surrogates for peripheral blood lymphocytes. Genomic and transcriptomic information on LCLs has been used to study the impact of genetic variation on gene expression in humans. Here we present single-cell RNA sequencing (scRNA-seq) data on GM12878 and GM18502-two LCLs derived from the blood of female donors of European and African ancestry, respectively. Cells from three samples (the two LCLs and a 1:1 mixture of the two) were prepared separately using a 10x Genomics Chromium Controller and deeply sequenced. The final dataset contained 7,045 cells from GM12878, 5,189 from GM18502, and 5,820 from the mixture, offering valuable information on single-cell gene expression in highly homogenous cell populations. This dataset is a suitable reference for population differentiation in gene expression at the single-cell level. Data from the mixture provide additional valuable information facilitating the development of statistical methods for data normalization and batch effect correction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.