Spatial transcriptomic applications in orthopedics.

IF 2.8 4区 医学 Q3 CELL BIOLOGY
Thomas L Jenkins, Jasper H N Yik, Dominik R Haudenschild
{"title":"Spatial transcriptomic applications in orthopedics.","authors":"Thomas L Jenkins, Jasper H N Yik, Dominik R Haudenschild","doi":"10.1080/03008207.2025.2501703","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This review highlights the transformative impact of spatial transcriptomics on orthopedic research, focusing on its application in deciphering intricate gene expression patterns within musculoskeletal tissues.</p><p><strong>Methods: </strong>The paper reviews literature for spatial transcriptomic methods, specifically 10X Visium, 10X Xenium, seqFISH+, MERFISH, NanoString GeoMx DSP, used on musculoskeletal tissues (cartilage, joints, bone, tendon, ligament, and synovium).</p><p><strong>Results: </strong>Searches identified 29 published manuscripts reporting spatial transcriptomic data in cartilage, bone, tendon, synovium, and intervertebral disc. Most publications of spatial transcriptomic data are from tendon and synovium. 10X Visium has been used in 22 of the 29 papers identified. Spatial transcriptomics has been used to identify novel cell populations and cell signaling pathways that regulate development and disease.</p><p><strong>Conclusions: </strong>Imaging-based spatial transcriptomic methods may be better for hypothesis testing as they generally have subcellular resolution but sequence fewer genes. Sequencing methods may be better for untargeted, shotgun approaches that can generate useful hypotheses from the spatial data from unimpaired tissue sections. Spatial transcriptomic methods could become useful for clinical diagnostics and precision medicine approaches.</p>","PeriodicalId":10661,"journal":{"name":"Connective Tissue Research","volume":" ","pages":"1-12"},"PeriodicalIF":2.8000,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Connective Tissue Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/03008207.2025.2501703","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: This review highlights the transformative impact of spatial transcriptomics on orthopedic research, focusing on its application in deciphering intricate gene expression patterns within musculoskeletal tissues.

Methods: The paper reviews literature for spatial transcriptomic methods, specifically 10X Visium, 10X Xenium, seqFISH+, MERFISH, NanoString GeoMx DSP, used on musculoskeletal tissues (cartilage, joints, bone, tendon, ligament, and synovium).

Results: Searches identified 29 published manuscripts reporting spatial transcriptomic data in cartilage, bone, tendon, synovium, and intervertebral disc. Most publications of spatial transcriptomic data are from tendon and synovium. 10X Visium has been used in 22 of the 29 papers identified. Spatial transcriptomics has been used to identify novel cell populations and cell signaling pathways that regulate development and disease.

Conclusions: Imaging-based spatial transcriptomic methods may be better for hypothesis testing as they generally have subcellular resolution but sequence fewer genes. Sequencing methods may be better for untargeted, shotgun approaches that can generate useful hypotheses from the spatial data from unimpaired tissue sections. Spatial transcriptomic methods could become useful for clinical diagnostics and precision medicine approaches.

空间转录组学在骨科中的应用。
目的:本文综述了空间转录组学在骨科研究中的变革性影响,重点介绍了其在破译肌肉骨骼组织中复杂的基因表达模式方面的应用。方法:本文综述了空间转录组学方法的文献,特别是10X Visium, 10X Xenium, seqFISH+, MERFISH, NanoString GeoMx DSP,用于肌肉骨骼组织(软骨,关节,骨,肌腱,韧带和滑膜)。结果:检索确定了29篇发表的报告软骨、骨、肌腱、滑膜和椎间盘空间转录组数据的手稿。大多数发表的空间转录组学数据来自肌腱和滑膜。在鉴定的29篇论文中,有22篇使用了10X Visium。空间转录组学已被用于鉴定调节发育和疾病的新细胞群和细胞信号通路。结论:基于成像的空间转录组学方法可能更适合假设检验,因为它们通常具有亚细胞分辨率,但测序的基因较少。测序方法可能更适合非靶向的散弹枪方法,这种方法可以从未受损组织切片的空间数据中产生有用的假设。空间转录组学方法可用于临床诊断和精准医学方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Connective Tissue Research
Connective Tissue Research 生物-细胞生物学
CiteScore
6.60
自引率
3.40%
发文量
37
审稿时长
2 months
期刊介绍: The aim of Connective Tissue Research is to present original and significant research in all basic areas of connective tissue and matrix biology. The journal also provides topical reviews and, on occasion, the proceedings of conferences in areas of special interest at which original work is presented. The journal supports an interdisciplinary approach; we present a variety of perspectives from different disciplines, including Biochemistry Cell and Molecular Biology Immunology Structural Biology Biophysics Biomechanics Regenerative Medicine The interests of the Editorial Board are to understand, mechanistically, the structure-function relationships in connective tissue extracellular matrix, and its associated cells, through interpretation of sophisticated experimentation using state-of-the-art technologies that include molecular genetics, imaging, immunology, biomechanics and tissue engineering.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信