MOCA for Integrated Analysis of Gene Expression and Genetic Variation in Single Cells

Jared Huzar; Hannah Kim; Sudhir Kumar; Sayaka Miura

doi:10.3389/fgene.2022.831040

MOCA for Integrated Analysis of Gene Expression and Genetic Variation in Single Cells

Jared Huzar, Hannah Kim, Sudhir Kumar, Sayaka Miura

Nuclear Dynamics and Cancer (NDC)

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

In cancer, somatic mutations occur continuously, causing cell populations to evolve. These somatic mutations result in the evolution of cellular gene expression patterns that can also change due to epigenetic modifications and environmental changes. By exploring the concordance of gene expression changes with molecular evolutionary trajectories of cells, we can examine the role of somatic variation on the evolution of gene expression patterns. We present Multi-Omics Concordance Analysis (MOCA) software to jointly analyze gene expressions and genetic variations from single-cell RNA sequencing profiles. MOCA outputs cells and genes showing convergent and divergent gene expression patterns in functional genomics.

Original language	English
Article number	831040
Journal	Frontiers in Genetics
Volume	13
DOIs	https://doi.org/10.3389/fgene.2022.831040
State	Published - Mar 31 2022

Keywords

cellular phylogeny
gene expression trajectory
multi-omics analyses
single-cell RNA sequencing
tumor evolution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3389/fgene.2022.831040

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title = "MOCA for Integrated Analysis of Gene Expression and Genetic Variation in Single Cells",

abstract = "In cancer, somatic mutations occur continuously, causing cell populations to evolve. These somatic mutations result in the evolution of cellular gene expression patterns that can also change due to epigenetic modifications and environmental changes. By exploring the concordance of gene expression changes with molecular evolutionary trajectories of cells, we can examine the role of somatic variation on the evolution of gene expression patterns. We present Multi-Omics Concordance Analysis (MOCA) software to jointly analyze gene expressions and genetic variations from single-cell RNA sequencing profiles. MOCA outputs cells and genes showing convergent and divergent gene expression patterns in functional genomics.",

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AU - Huzar, Jared

AU - Kim, Hannah

AU - Kumar, Sudhir

AU - Miura, Sayaka

PY - 2022/3/31

Y1 - 2022/3/31

N2 - In cancer, somatic mutations occur continuously, causing cell populations to evolve. These somatic mutations result in the evolution of cellular gene expression patterns that can also change due to epigenetic modifications and environmental changes. By exploring the concordance of gene expression changes with molecular evolutionary trajectories of cells, we can examine the role of somatic variation on the evolution of gene expression patterns. We present Multi-Omics Concordance Analysis (MOCA) software to jointly analyze gene expressions and genetic variations from single-cell RNA sequencing profiles. MOCA outputs cells and genes showing convergent and divergent gene expression patterns in functional genomics.

AB - In cancer, somatic mutations occur continuously, causing cell populations to evolve. These somatic mutations result in the evolution of cellular gene expression patterns that can also change due to epigenetic modifications and environmental changes. By exploring the concordance of gene expression changes with molecular evolutionary trajectories of cells, we can examine the role of somatic variation on the evolution of gene expression patterns. We present Multi-Omics Concordance Analysis (MOCA) software to jointly analyze gene expressions and genetic variations from single-cell RNA sequencing profiles. MOCA outputs cells and genes showing convergent and divergent gene expression patterns in functional genomics.

KW - cellular phylogeny

KW - gene expression trajectory

KW - multi-omics analyses

KW - single-cell RNA sequencing

KW - tumor evolution

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JO - Frontiers in Genetics

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ER -

MOCA for Integrated Analysis of Gene Expression and Genetic Variation in Single Cells

Abstract

Keywords

UN SDGs

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