TY - JOUR
T1 - Beyond bulk
T2 - a review of single cell transcriptomics methodologies and applications
AU - Kulkarni, Ashwinikumar
AU - Anderson, Ashley G.
AU - Merullo, Devin P.
AU - Konopka, Genevieve
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/8
Y1 - 2019/8
N2 - Single-cell RNA sequencing (scRNA-seq) is a promising approach to study the transcriptomes of individual cells in the brain and the central nervous system (CNS). This technology acts as a bridge between neuroscience, computational biology, and systems biology, enabling an unbiased and novel understanding of the cellular composition of the brain and CNS. Gene expression at the single cell resolution is often noisy, sparse, and high-dimensional, creating challenges for computational analysis of such data. In this review, we overview fundamental sample preparation and data analysis processes of scRNA-seq and provide a comparative perspective for analyzing and visualizing these data.
AB - Single-cell RNA sequencing (scRNA-seq) is a promising approach to study the transcriptomes of individual cells in the brain and the central nervous system (CNS). This technology acts as a bridge between neuroscience, computational biology, and systems biology, enabling an unbiased and novel understanding of the cellular composition of the brain and CNS. Gene expression at the single cell resolution is often noisy, sparse, and high-dimensional, creating challenges for computational analysis of such data. In this review, we overview fundamental sample preparation and data analysis processes of scRNA-seq and provide a comparative perspective for analyzing and visualizing these data.
UR - http://www.scopus.com/inward/record.url?scp=85064071400&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064071400&partnerID=8YFLogxK
U2 - 10.1016/j.copbio.2019.03.001
DO - 10.1016/j.copbio.2019.03.001
M3 - Review article
C2 - 30978643
AN - SCOPUS:85064071400
SN - 0958-1669
VL - 58
SP - 129
EP - 136
JO - Current Opinion in Biotechnology
JF - Current Opinion in Biotechnology
ER -