ArticleFrontiers in genetics2019
The Impact of Heterogeneity on Single-Cell Sequencing.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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Who cites it
67 citing papers in PubMed.
- High-quality acinar cell isolation enables single-cell analysis of healthy and injured pancreas.Cell reports methods · 2026Article
- Spatial transcriptomic profiling identifies lacrimal-gland-epithelial cell-driven mechanisms underlying autoimmunity in Sjögren's disease.Frontiers in immunology · 2026Article
- Spatial transcriptomic profiling identifies lacrimal gland epithelial cell-driven mechanisms underlying autoimmunity in Sjögren's disease.bioRxiv : the preprint server for biology · 2025Article
- Heterogeneity in an adeno-associated virus transfection-based production process limits the production efficiency.Scientific reports · 2025Article
- Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.Cancer metastasis reviews · 2025Review
- Review
- Multi-ancestry genome-wide and transcriptome-wide association analyses identified new risk loci and genes for inflammatory bowel disease.medRxiv : the preprint server for health sciences · 2025Article
- Increasing pathogenic germline variant diagnosis rates in precision medicine: current best practices and future opportunities.Human genomics · 2025Review
- Single-cell mutational burden distributions in birth-death processes.PLoS computational biology · 2025Article
- Identification and Mapping of Human Lymph Node Stromal Cell Subsets by Combining Single-Cell RNA Sequencing with Spatial Transcriptomics.European journal of immunology · 2025Article
- Deconer: An Evaluation Toolkit for Reference-based Deconvolution Methods Using Gene Expression Data.Genomics, proteomics & bioinformatics · 2025Article
- Recent Developments in Single-Cell Metabolomics by Mass Spectrometry─A Perspective.Journal of proteome research · 2025Review
- Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images.Cancer research communications · 2025Article
- Deciphering craniopharyngioma subtypes: Single-cell analysis of tumor microenvironment and immune networks.iScience · 2024Article
- Miniaturized protein profiling permits targeted signaling pathway analysis in individual circulating tumor cells to improve personalized treatment.Journal of translational medicine · 2024Article
- Article
- Antigen presenting cells in cancer immunity and mediation of immune checkpoint blockade.Clinical & experimental metastasis · 2024Review
- Single-cell RNA-seq reveals the effects of the FecB mutation on the transcriptome profile in ovine cumulus cells.Scientific reports · 2024Article
- Review
- Advances in single-cell long-read sequencing technologies.NAR genomics and bioinformatics · 2024Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The importance of diversity and cellular specialization is clear for many reasons, from population-level diversification, to improved resiliency to unforeseen stresses, to unique functions within metazoan organisms during development and differentiation. However, the level of cellular heterogeneity is just now becoming clear through the integration of genome-wide analyses and more cost effective Next Generation Sequencing (NGS). With easy access to single-cell NGS (scNGS), new opportunities exist to examine different levels of gene expression and somatic mutational heterogeneity, but these assays can generate yottabyte scale data. Here, we model the importance of heterogeneity for large-scale analysis of scNGS data, with a focus on the utilization in oncology and other diseases, providing a guide to aid in sample size and experimental design.
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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.