Beyond bulk: a review of single cell transcriptomics methodologies and applications.
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IF: 10.279
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Cited by: 196
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Abstract

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.

Keywords

seqFISH+
Omics
MERFISH
Seurat
Gene Expression
smFISH
Spatial reconstruction
osmFISH

MeSH terms

Base Sequence
Computational Biology
Sequence Analysis, RNA
Single-Cell Analysis
Transcriptome

Authors

Kulkarni, Ashwinikumar
Anderson, Ashley G
Merullo, Devin P
Konopka, Genevieve

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