Literature DB >> 35708028

Dissecting the Heterogeneity of Human Thoracic Aortic Aneurysms Using Single-Cell Transcriptomics.

Dogukan Mizrak1, Hao Feng1,2, Bo Yang1.   

Abstract

Thoracic aortic aneurysm is a life-threatening condition caused by weakening of the thoracic aorta wall, often developing silently until dissection or rupture occurs. Despite substantial efforts in the past decade, there have been no significant therapeutic advances to prevent or clinically manage diverse forms of thoracic aortic aneurysm and dissection with the only effective treatment being surgical repair. There is an urgent need to understand intra- and inter-aneurysmal heterogeneity underlying thoracic aortic aneurysm and dissection pathogenesis. The human aortic wall consists of many cell types and exhibits significant regional heterogeneity. High-throughput single-cell RNA sequencing has emerged as the principal tool to reveal the complexity in human tissues and clinical specimens. Recent single-cell RNA sequencing studies of different aortic cell populations both in vivo and in vitro began to dissect this complexity and have provided valuable information. In this review, we summarize these findings and discuss the potential applications of single-cell transcriptomics and related high-content technologies in human thoracic aortic aneurysm and dissection research, as well as the challenges associated with it.

Entities:  

Keywords:  aortic aneurysm, thoracic; humans; induced pluripotent stem cells; muscle, smooth, vascular; transcriptome

Mesh:

Year:  2022        PMID: 35708028      PMCID: PMC9339526          DOI: 10.1161/ATVBAHA.122.317484

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   10.514


  78 in total

1.  High-throughput single-cell ChIP-seq identifies heterogeneity of chromatin states in breast cancer.

Authors:  Kevin Grosselin; Adeline Durand; Justine Marsolier; Adeline Poitou; Elisabetta Marangoni; Fariba Nemati; Ahmed Dahmani; Sonia Lameiras; Fabien Reyal; Olivia Frenoy; Yannick Pousse; Marcel Reichen; Adam Woolfe; Colin Brenan; Andrew D Griffiths; Céline Vallot; Annabelle Gérard
Journal:  Nat Genet       Date:  2019-05-31       Impact factor: 38.330

2.  Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.

Authors:  Patrik L Ståhl; Fredrik Salmén; Sanja Vickovic; Anna Lundmark; José Fernández Navarro; Jens Magnusson; Stefania Giacomello; Michaela Asp; Jakub O Westholm; Mikael Huss; Annelie Mollbrink; Sten Linnarsson; Simone Codeluppi; Åke Borg; Fredrik Pontén; Paul Igor Costea; Pelin Sahlén; Jan Mulder; Olaf Bergmann; Joakim Lundeberg; Jonas Frisén
Journal:  Science       Date:  2016-07-01       Impact factor: 47.728

3.  An iPSC-derived vascular model of Marfan syndrome identifies key mediators of smooth muscle cell death.

Authors:  Alessandra Granata; Felipe Serrano; William George Bernard; Madeline McNamara; Lucinda Low; Priya Sastry; Sanjay Sinha
Journal:  Nat Genet       Date:  2016-11-28       Impact factor: 38.330

4.  In Vitro Lineage-Specific Differentiation of Vascular Smooth Muscle Cells in Response to SMAD3 Deficiency: Implications for SMAD3-Related Thoracic Aortic Aneurysm.

Authors:  Jian Gong; Dong Zhou; Longtan Jiang; Ping Qiu; Dianna M Milewicz; Y Eugene Chen; Bo Yang
Journal:  Arterioscler Thromb Vasc Biol       Date:  2020-05-14       Impact factor: 8.311

5.  X Marks the Spot: The Profound Impact of Sex on Aortic Disease.

Authors:  Siddharth K Prakash; Dianna M Milewicz
Journal:  Arterioscler Thromb Vasc Biol       Date:  2018-01       Impact factor: 8.311

Review 6.  Arterial complications of vascular Ehlers-Danlos syndrome.

Authors:  Matthew J Eagleton
Journal:  J Vasc Surg       Date:  2016-09-26       Impact factor: 4.268

7.  Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.

Authors:  Laleh Haghverdi; Aaron T L Lun; Michael D Morgan; John C Marioni
Journal:  Nat Biotechnol       Date:  2018-04-02       Impact factor: 54.908

8.  Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis.

Authors:  Jared M Churko; Priyanka Garg; Barbara Treutlein; Meenakshi Venkatasubramanian; Haodi Wu; Jaecheol Lee; Quinton N Wessells; Shih-Yu Chen; Wen-Yi Chen; Kashish Chetal; Gary Mantalas; Norma Neff; Eric Jabart; Arun Sharma; Garry P Nolan; Nathan Salomonis; Joseph C Wu
Journal:  Nat Commun       Date:  2018-11-21       Impact factor: 14.919

9.  Three-dimensional intact-tissue sequencing of single-cell transcriptional states.

Authors:  Xiao Wang; William E Allen; Matthew A Wright; Emily L Sylwestrak; Nikolay Samusik; Sam Vesuna; Kathryn Evans; Cindy Liu; Charu Ramakrishnan; Jia Liu; Garry P Nolan; Felice-Alessio Bava; Karl Deisseroth
Journal:  Science       Date:  2018-06-21       Impact factor: 47.728

10.  An Automated Microwell Platform for Large-Scale Single Cell RNA-Seq.

Authors:  Jinzhou Yuan; Peter A Sims
Journal:  Sci Rep       Date:  2016-09-27       Impact factor: 4.379

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