Single-cell transcriptome analysis for cancer and biology of the pancreas: A review on recent progress

被引:1
作者
Tamaddon, Mona [1 ]
Azimzadeh, Mostafa [2 ,3 ,4 ]
Gifani, Peyman [5 ,6 ]
Tavangar, Seyed Mohammad [1 ,7 ]
机构
[1] Univ Tehran Med Sci, Endocrinol & Metab Populat Sci Inst, Chron Dis Res Ctr, Tehran, Iran
[2] Shahid Sadoughi Univ Med Sci, Sch Med, Dept Med Biotechnol, Yazd, Iran
[3] Shahid Sadoughi Univ Med Sci, Yazd Reprod Sci Inst, Med Nanotechnol & Tissue Engn Res Ctr, Yazd, Iran
[4] Shahid Sadoughi Univ Med Sci, Yazd Reprod Sci Inst, Stem Cell Biol Res Ctr, Yazd, Iran
[5] AI VIVO Ltd, Bioinnovat Ctr, Cambridge, England
[6] Univ Cambridge, Inst Syst Biol, Genet Dept, Cambridge, England
[7] Univ Tehran Med Sci, Shariati Hosp, Dept Pathol, Tehran, Iran
关键词
single-cell sequencing; transcriptome analysis; pancreas biology; pancreas cancer; genetic heterogeneity; GENE-EXPRESSION; MOUSE;
D O I
10.3389/fgene.2023.1029758
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Single-cell sequencing has become one of the most used techniques across the wide field of biology. It has enabled researchers to investigate the whole transcriptome at the cellular level across tissues, which unlocks numerous potentials for basic and applied studies in future diagnosis and therapy. Here, we review the impact of single-cell RNA sequencing, as the prominent single-cell technique, in pancreatic biology and cancer. We discuss the most recent findings about pancreatic physiology and pathophysiology owing to this technological advancement in the past few years. Using single-cell RNA sequencing, researchers have been able to discover cellular heterogeneity across healthy cell types, as well as cancer tissues of the pancreas. We will discuss the new immunological targets and new molecular mechanisms of progression in the microenvironment of pancreatic cancer studied using single-cell RNA sequencing. The scope is not limited to cancer tissues, and we cover novel developmental, evolutionary, physiological, and heterogenic insights that have also been achieved recently for pancreatic tissues. We cover all biological insights derived from the single-cell RNA sequencing data, discuss the corresponding pros and cons, and finally, conclude how future research can move better by utilizing single-cell analysis for pancreatic biology.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] From bench to bedside: Single-cell analysis for cancer immunotherapy
    Davis-Marcisak, Emily F.
    Deshpande, Atul
    Stein-O'Brien, Genevieve L.
    Ho, Won J.
    Laheru, Daniel
    Jaffee, Elizabeth M.
    Fertig, Elana J.
    Kagohara, Luciane T.
    CANCER CELL, 2021, 39 (08) : 1062 - 1080
  • [42] Single-cell Transcriptome Study as Big Data
    Yu, Pingjian
    Lin, Wei
    GENOMICS PROTEOMICS & BIOINFORMATICS, 2016, 14 (01) : 21 - 30
  • [43] The Drosophila embryo at single-cell transcriptome resolution
    Karaiskos, Nikos
    Wahle, Philipp
    Alles, Jonathan
    Boltengagen, Anastasiya
    Ayoub, Salah
    Kipar, Claudia
    Kocks, Christine
    Rajewsky, Nikolaus
    Zinzen, Robert P.
    SCIENCE, 2017, 358 (6360) : 194 - 199
  • [44] Single-cell and transcriptome analysis reveals TAL cells in diabetic nephropathy
    Zhang, Chengyu
    Li, Han
    Wang, Shixiang
    FUNCTIONAL & INTEGRATIVE GENOMICS, 2023, 23 (04)
  • [45] A Single-Cell Transcriptome Atlas of the Mouse Glomerulus
    Karaiskos, Nikos
    Rahmatollahi, Mahdieh
    Boltengagen, Anastasiya
    Liu, Haiyue
    Hoehne, Martin
    Rinschen, Markus
    Schermer, Bernhard
    Benzing, Thomas
    Rajewsky, Nikolaus
    Kocks, Christine
    Kann, Martin
    Mueller, Roman-Ulrich
    JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2018, 29 (08): : 2060 - 2068
  • [46] How Single-Cell Genomics Is Changing Evolutionary and Developmental Biology
    Marioni, John C.
    Arendt, Detlev
    ANNUAL REVIEW OF CELL AND DEVELOPMENTAL BIOLOGY, VOL 33, 2017, 33 : 537 - 553
  • [47] Analysis of transcriptome of single-cell RNA sequencing data using machine learning
    Rajesh, Mothe
    Martha, Sheshikala
    SOFT COMPUTING, 2023, 27 (13) : 9131 - 9141
  • [48] Liver cancer from the perspective of single-cell sequencing: a review combined with bibliometric analysis
    Ji, Yanwei
    An, Qi
    Wen, Xinyu
    Xu, Zhou
    Xia, Zhengyuan
    Xia, Zhongyuan
    Hu, Qinyong
    Lei, Shaoqing
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2024, 150 (06)
  • [49] Plant Systems Biology at the Single-Cell Level
    Libault, Marc
    Pingault, Lise
    Zogli, Prince
    Schiefelbein, John
    TRENDS IN PLANT SCIENCE, 2017, 22 (11) : 949 - 960
  • [50] Statistical mechanics meets single-cell biology
    Teschendorff, Andrew E.
    Feinberg, Andrew P.
    NATURE REVIEWS GENETICS, 2021, 22 (07) : 459 - 476