Defining the Skin Cellular Community Using Single-Cell Genomics to Advance Precision Medicine

被引：19

作者：

Dubois, Anna ^{[1
,2
]}

Gopee, Nusayhah ^{[1
,2
]}

Olabi, Bayanne ^{[3
]}

Haniffa, Muzlifah ^{[1
,2
,4
]}

机构：

[1] Newcastle Hosp NHS Fdn Trust, Dept Dermatol, Newcastle Upon Tyne, Tyne & Wear, England

[2] Newcastle Hosp NHS Fdn Trust, NIHR Newcastle Biomed Res Ctr, Newcastle Upon Tyne, Tyne & Wear, England

[3] Dept Dermatol, Lauriston Bldg,Lauriston Pl, Edinburgh, Midlothian, Scotland

[4] Newcastle Univ, Biosci Inst, Newcastle Upon Tyne NE2 4HH, Tyne & Wear, England

来源：

JOURNAL OF INVESTIGATIVE DERMATOLOGY | 2021年 / 141卷 / 02期

关键词：

RNA-SEQ; TRANSCRIPTOMICS REVEALS; POPULATIONS; PSORIASIS; STEM; EXPRESSION; SIGNATURES; HEALTH;

D O I：

10.1016/j.jid.2020.05.104

中图分类号：

R75 [皮肤病学与性病学];

学科分类号：

100227 [皮肤病学];

摘要：

Single-cell genomics has revolutionized biological science, enabling high-resolution analysis of human tissues. The ability to demonstrate the role and function of distinct cell types comprising human tissues paves the way for a new understanding of cellular pathways, interactions, and future research directions. The skin, easily accessible and possessing a diverse and complex role in defending us both physically and immunologically from the outside world, lends itself ideally to single-cell genomics analysis. Here, we outline the benefits of single-cell RNA sequencing while also highlighting the challenges in achieving a meaningful result from its use. Key milestones relating to the study of skin in this way are introduced, covering both healthy and diseased states, and we discuss the potential promise of single-cell RNA sequencing to result in tangible medical advances, with a particular focus on precision medicine.

引用

页码：255 / 264

页数：10

共 82 条

[51]

Decoding human fetal liver haematopoiesis [J].

Popescu, Dorin-Mirel ;

Botting, Rachel A. ;

Stephenson, Emily ;

Green, Kile ;

Webb, Simone ;

Jardine, Laura ;

Calderbank, Emily F. ;

Polanski, Krzysztof ;

Goh, Issac ;

Efremova, Mirjana ;

Acres, Meghan ;

Maunder, Daniel ;

Vegh, Peter ;

Gitton, Yorick ;

Park, Jong-Eun ;

Vento-Tormo, Roser ;

Miao, Zhichao ;

Dixon, David ;

Rowell, Rachel ;

McDonald, David ;

Fletcher, James ;

Poyner, Elizabeth ;

Reynolds, Gary ;

Mather, Michael ;

Moldovan, Corina ;

Mamanova, Lira ;

Greig, Frankie ;

Young, Matthew D. ;

Meyer, Kerstin B. ;

Lisgo, Steven ;

Bacardit, Jaume ;

Fuller, Andrew ;

Millar, Ben ;

Innes, Barbara ;

Lindsay, Susan ;

Stubbington, Michael J. T. ;

Kowalczyk, Monika S. ;

Li, Bo ;

Ashenberg, Orr ;

Tabaka, Marcin ;

Dionne, Danielle ;

Tickle, Timothy L. ;

Slyper, Michal ;

Rozenblatt-Rosen, Orit ;

Filby, Andrew ;

Carey, Peter ;

Villani, Alexandra-Chloe ;

Roy, Anindita ;

Regev, Aviv ;

Chedotal, Alain .

NATURE, 2019, 574 (7778) :365-+

[52]

Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer [J].

Puram, Sidharth V. ;

Tirosh, Itay ;

Parikh, Anuraag S. ;

Patel, Anoop P. ;

Yizhak, Keren ;

Gillespie, Shawn ;

Rodman, Christopher ;

Luo, Christina L. ;

Mroz, Edmund A. ;

Emerick, Kevin S. ;

Deschler, Daniel G. ;

Varvares, Mark A. ;

Mylvaganam, Ravi ;

Rozenblatt-Rosen, Orit ;

Rocco, James W. ;

Faquin, William C. ;

Lin, Derrick T. ;

Regev, Aviv ;

Bernstein, Bradley E. .

CELL, 2017, 171 (07) :1611-+

[53]

Embracing the dropouts in single-cell RNA-seq analysis [J].

Qiu, Peng .

NATURE COMMUNICATIONS, 2020, 11 (01)

[54]

The Human Cell Atlas [J].

Regev, Aviv ;

Teichmann, Sarah A. ;

Lander, Eric S. ;

Amt, Ido ;

Benoist, Christophe ;

Birney, Ewen ;

Bodenmiller, Bernd ;

Campbell, Peter ;

Carninci, Piero ;

Clatworthy, Menna ;

Clevers, Hans ;

Deplancke, Bart ;

Dunham, Ian ;

Eberwine, James ;

Elis, Roland ;

Enard, Wolfgang ;

Farmer, Andrew ;

Fugger, Lars ;

Gottgens, Berthold ;

Hacohen, Nir ;

Haniffa, Muzlifah ;

Hemberg, Martin ;

Kim, Seung ;

Klenerman, Paul ;

Kriegstein, Arnold ;

Lein, E. D. ;

Linnarsson, Sten ;

Lundberg, Emma ;

Lundeberg, Jaokim ;

Majumder, Partha ;

Marioni, John C. ;

Merad, Miriam ;

Mhlanga, Musa ;

Nawijin, Martijn ;

Netea, Mihai ;

Nolan, Garry ;

Pe'er, Dana ;

Phillipakis, Anthony ;

Ponting, Chris P. ;

Quake, Stephen ;

Reik, Wolf ;

Rozenblatt-Rosen, Orit ;

Sanes, Joshua ;

Satija, Rahul ;

Schumacher, Ton N. ;

Shalek, Alex ;

Shapiro, Ehud ;

Sharma, Padmanee ;

Shin, Jay W. ;

Stegle, Oliver .

ELIFE, 2017, 6

[55]

Single-cell RNA-seq reveals hidden transcriptional variation in malaria parasites [J].

Reid, Adam J. ;

Talman, Arthur M. ;

Bennett, Hayley M. ;

Gomes, Ana R. ;

Sanders, Mandy J. ;

Illingwoth, Christopher J. R. ;

Billker, Oliver ;

Berriman, Matthew ;

Lawniczak, Mara K. N. .

ELIFE, 2018, 7

[56]

Translating translation into patient benefit for atopic eczema [J].

Reynolds, N. J. ;

Sinha, A. ;

Elias, M. S. ;

Meggitt, S. J. .

BRITISH JOURNAL OF DERMATOLOGY, 2016, 175 :8-12

[57]

Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding [J].

Rosenberg, Alexander B. ;

Roco, Charles M. ;

Muscat, Richard A. ;

Kuchina, Anna ;

Sample, Paul ;

Yao, Zizhen ;

Graybuck, Lucas T. ;

Peeler, David J. ;

Mukherjee, Sumit ;

Chen, Wei ;

Pun, Suzie H. ;

Sellers, Drew L. ;

Tasic, Bosiljka ;

Seelig, Georg .

SCIENCE, 2018, 360 (6385) :176-+

[58]

seqFISH Accurately Detects Transcripts in Single Cells and Reveals Robust Spatial Organization in the Hippocampus [J].

Shah, Sheel ;

Lubeck, Eric ;

Zhou, Wen ;

Cai, Long .

NEURON, 2017, 94 (04) :752-+

[59]

Single-cell analyses to tailor treatments [J].

Shalek, Alex K. ;

Benson, Mikael .

SCIENCE TRANSLATIONAL MEDICINE, 2017, 9 (408)

[60]

Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming [J].

Sole-Boldo, Llorenc ;

Raddatz, Guenter ;

Schuetz, Sabrina ;

Mallm, Jan-Philipp ;

Rippe, Karsten ;

Lonsdorf, Anke S. ;

Rodriguez-Paredes, Manuel ;

Lyko, Frank .

COMMUNICATIONS BIOLOGY, 2020, 3 (01)

← 1 2 3 4 5 6 7 8 9 →