More Than the Sum of Its Parts: Single-Cell Transcriptomics Reveals Epidermal Cell States

Ka Wai Mok; Nivedita Saxena; Michael Rendl

doi:10.1016/j.celrep.2018.10.041

More Than the Sum of Its Parts: Single-Cell Transcriptomics Reveals Epidermal Cell States

Ka Wai Mok, Nivedita Saxena, Michael Rendl

Research output: Contribution to journal › Short survey › peer-review

2 Scopus citations

Abstract

Compared to mouse models, less is known about human epidermal cell states and differentiation. In this issue of Cell Reports, Cheng et al. (2018) dissect the cell states and heterogeneity in human epidermis with large-scale transcriptomics of 92,889 single epidermal cells from normal and inflamed skin. Compared to mouse models, less is known about human epidermal cell states and differentiation. In this issue of Cell Reports, Cheng et al. (2018) dissect the cell states and heterogeneity in human epidermis with large-scale transcriptomics of 92,889 single epidermal cells from normal and inflamed skin.

Original language	English
Pages (from-to)	823-824
Number of pages	2
Journal	Cell Reports
Volume	25
Issue number	4
DOIs	https://doi.org/10.1016/j.celrep.2018.10.041
State	Published - 23 Oct 2018

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title = "More Than the Sum of Its Parts: Single-Cell Transcriptomics Reveals Epidermal Cell States",

abstract = "Compared to mouse models, less is known about human epidermal cell states and differentiation. In this issue of Cell Reports, Cheng et al. (2018) dissect the cell states and heterogeneity in human epidermis with large-scale transcriptomics of 92,889 single epidermal cells from normal and inflamed skin. Compared to mouse models, less is known about human epidermal cell states and differentiation. In this issue of Cell Reports, Cheng et al. (2018) dissect the cell states and heterogeneity in human epidermis with large-scale transcriptomics of 92,889 single epidermal cells from normal and inflamed skin.",

author = "Mok, {Ka Wai} and Nivedita Saxena and Michael Rendl",

note = "Publisher Copyright: {\textcopyright} 2018",

year = "2018",

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T1 - More Than the Sum of Its Parts

T2 - Single-Cell Transcriptomics Reveals Epidermal Cell States

AU - Mok, Ka Wai

AU - Saxena, Nivedita

AU - Rendl, Michael

PY - 2018/10/23

Y1 - 2018/10/23

N2 - Compared to mouse models, less is known about human epidermal cell states and differentiation. In this issue of Cell Reports, Cheng et al. (2018) dissect the cell states and heterogeneity in human epidermis with large-scale transcriptomics of 92,889 single epidermal cells from normal and inflamed skin. Compared to mouse models, less is known about human epidermal cell states and differentiation. In this issue of Cell Reports, Cheng et al. (2018) dissect the cell states and heterogeneity in human epidermis with large-scale transcriptomics of 92,889 single epidermal cells from normal and inflamed skin.

AB - Compared to mouse models, less is known about human epidermal cell states and differentiation. In this issue of Cell Reports, Cheng et al. (2018) dissect the cell states and heterogeneity in human epidermis with large-scale transcriptomics of 92,889 single epidermal cells from normal and inflamed skin. Compared to mouse models, less is known about human epidermal cell states and differentiation. In this issue of Cell Reports, Cheng et al. (2018) dissect the cell states and heterogeneity in human epidermis with large-scale transcriptomics of 92,889 single epidermal cells from normal and inflamed skin.

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U2 - 10.1016/j.celrep.2018.10.041

DO - 10.1016/j.celrep.2018.10.041

M3 - Short survey

C2 - 30355488

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VL - 25

SP - 823

EP - 824

JO - Cell Reports

JF - Cell Reports

IS - 4

ER -

More Than the Sum of Its Parts: Single-Cell Transcriptomics Reveals Epidermal Cell States

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