Title | The Impact of Heterogeneity on Single-Cell Sequencing. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Goldman SL, MacKay M, Afshinnekoo E, Melnick AM, Wu S, Mason CE |
Journal | Front Genet |
Volume | 10 |
Pagination | 8 |
Date Published | 2019 |
ISSN | 1664-8021 |
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. |
DOI | 10.3389/fgene.2019.00008 |
Alternate Journal | Front Genet |
PubMed ID | 30881372 |
PubMed Central ID | PMC6405636 |
Grant List | R01 MH117406 / MH / NIMH NIH HHS / United States R01 AI125416 / AI / NIAID NIH HHS / United States R01 ES021006 / ES / NIEHS NIH HHS / United States R25 EB020393 / EB / NIBIB NIH HHS / United States R21 AI129851 / AI / NIAID NIH HHS / United States R01 NS076465 / NS / NINDS NIH HHS / United States |