Prioritization and functional validation of target genes from single-cell transcriptomics studies

被引:0
|
作者
Liliana Sokol
Anne Cuypers
Anh-Co K. Truong
Ann Bouché
Katleen Brepoels
Joris Souffreau
Katerina Rohlenova
Stefan Vinckier
Luc Schoonjans
Guy Eelen
Mieke Dewerchin
Laura P.M.H. de Rooij
Peter Carmeliet
机构
[1] Leuven Cancer Institute (LKI),Laboratory of Angiogenesis and Vascular Metabolism, Center for Cancer Biology (CCB), VIB and Department of Oncology
[2] Aarhus University,Laboratory of Angiogenesis and Vascular Heterogeneity, Department of Biomedicine
[3] Khalifa University of Science and Technology,Center for Biotechnology
[4] BIOCEV,Institute of Biotechnology of the Czech Academy of Sciences
[5] CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Translation of academic results into clinical practice is a formidable unmet medical need. Single-cell RNA-sequencing (scRNA-seq) studies generate long descriptive ranks of markers with predicted biological function, but without functional validation, it remains challenging to know which markers truly exert the putative function. Given the lengthy/costly nature of validation studies, gene prioritization is required to select candidates. We address these issues by studying tip endothelial cell (EC) marker genes because of their importance for angiogenesis. Here, by tailoring Guidelines On Target Assessment for Innovative Therapeutics, we in silico prioritize previously unreported/poorly described, high-ranking tip EC markers. Notably, functional validation reveals that four of six candidates behave as tip EC genes. We even discover a tip EC function for a gene lacking in-depth functional annotation. Thus, validating prioritized genes from scRNA-seq studies offers opportunities for identifying targets to be considered for possible translation, but not all top-ranked scRNA-seq markers exert the predicted function.
引用
收藏
相关论文
共 50 条
  • [1] Prioritization and functional validation of target genes from single-cell transcriptomics studies
    Sokol, Liliana
    Cuypers, Anne
    Truong, Anh-Co K.
    Bouche, Ann
    Brepoels, Katleen
    Souffreau, Joris
    Rohlenova, Katerina
    Vinckier, Stefan
    Schoonjans, Luc
    Eelen, Guy
    Dewerchin, Mieke
    de Rooij, Laura P. M. H.
    Carmeliet, Peter
    COMMUNICATIONS BIOLOGY, 2023, 6 (01)
  • [2] Single-cell transcriptomics and functional target validation of brown adipocytes show their complex roles in metabolic homeostasis
    Spaethling, Jennifer M.
    Sanchez-Alavez, Manuel
    Lee, JaeHee
    Xia, Feng C.
    Dueck, Hannah
    Wang, Wenshan
    Fisher, Stephen A.
    Sul, Jai-Yoon
    Seale, Patrick
    Kim, Junhyong
    Bartfai, Tamas
    Eberwine, James
    FASEB JOURNAL, 2016, 30 (01): : 81 - 92
  • [3] Validation of noise models for single-cell transcriptomics
    Grün D.
    Kester L.
    Van Oudenaarden A.
    Nature Methods, 2014, 11 (6) : 637 - 640
  • [4] Single-cell transcriptomics for drug target discovery
    Spaethling, Jennifer M.
    Eberwine, James H.
    CURRENT OPINION IN PHARMACOLOGY, 2013, 13 (05) : 786 - 790
  • [5] Validation of noise models for single-cell transcriptomics
    Grun, Dominic
    Kester, Lennart
    van Oudenaarden, Alexander
    NATURE METHODS, 2014, 11 (06) : 637 - +
  • [6] Prioritization of monogenic CAKUT candidate genes with existing single-cell transcriptomics data of the human fetal kidney
    Schierbaum, Luca M.
    Schneider, Sophia
    Buerger, Florian
    Halawi, Abdul Aziz
    Seltzsam, Steve
    Wang, Chunyan
    Zheng, Bixia
    Wu, Chen-Han Wilfried
    Dai, Rufeng
    Connaughton, Dervla M.
    Salmanullah, Daanya
    Nakayama, Makiko
    Mann, Nina
    Shril, Shirlee
    Hildebrandt, Friedhelm
    NEPHRON, 2023, 147 (11) : 685 - 692
  • [7] Single-cell transcriptomics in dermatology
    Deutsch, Alana
    Mclellan, Beth N.
    Shinoda, Kosaku
    JAAD INTERNATIONAL, 2020, 1 (02): : 182 - 188
  • [8] Single-cell spatial transcriptomics
    Weber, Christine
    NATURE CELL BIOLOGY, 2021, 23 (11) : 1108 - 1108
  • [9] Single-cell spatial transcriptomics
    Christine Weber
    Nature Cell Biology, 2021, 23 : 1108 - 1108
  • [10] Quantitative single-cell transcriptomics
    Ziegenhain, Christoph
    Vieth, Beate
    Parekh, Swati
    Hellmann, Ines
    Enard, Wolfgang
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2018, 17 (04) : 220 - 232