Nanostring-Based Identification of the Gene Expression Profile in Trigger Finger Samples

Trigger finger is a common yet vastly understudied fibroproliferative hand pathology, severely affecting patients’ quality of life. Consistent trauma due to inadequate positioning within the afflicted finger’s tendon/pulley system leads to cellular dysregulation and eventual fibrosis. While the gene...

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Autores principales: Ravindra Kolhe, Umar Ghilzai, Ashis K. Mondal, Chetan Pundkar, Pankaj Ahluwalia, Nikhil S. Sahajpal, Jie Chen, Carlos M. Isales, Mark Fulcher, Sadanand Fulzele
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/24515fc1811c4fd488a6ea56a11c1370
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spelling oai:doaj.org-article:24515fc1811c4fd488a6ea56a11c13702021-11-25T17:46:44ZNanostring-Based Identification of the Gene Expression Profile in Trigger Finger Samples10.3390/healthcare91115922227-9032https://doaj.org/article/24515fc1811c4fd488a6ea56a11c13702021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9032/9/11/1592https://doaj.org/toc/2227-9032Trigger finger is a common yet vastly understudied fibroproliferative hand pathology, severely affecting patients’ quality of life. Consistent trauma due to inadequate positioning within the afflicted finger’s tendon/pulley system leads to cellular dysregulation and eventual fibrosis. While the genetic characteristics of the fibrotic tissue in the trigger finger have been studied, the pathways that govern the initiation and propagation of fibrosis are still unknown. The complete gene expression profile of the trigger finger has never been explored. Our study has used the Nanostring nCounter gene expression assay to investigate the molecular signaling involved in trigger finger pathogenesis. We collected samples from patients undergoing trigger finger (<i>n</i> = 4) release surgery and compared the gene expression to carpal tunnel tissue (<i>n</i> = 4). Nanostring nCounter analysis identified 165 genes that were differentially regulated; 145 of these genes were upregulated, whereas 20 genes were downregulated. We found that several collagen genes were significantly upregulated, and a regulatory matrix metalloproteinase (MMP), MMP-3, was downregulated. Bioinformatic analysis revealed that several known signaling pathways were dysregulated, such as the TGF-β1 and Wnt signaling pathways. We also found several novel signaling pathways (e.g., PI3K, MAPK, JAK-STAT, and Notch) differentially regulated in trigger finger. The outcome of our study helps in understanding the molecular signaling pathway involved in the pathogenesis of the trigger finger.Ravindra KolheUmar GhilzaiAshis K. MondalChetan PundkarPankaj AhluwaliaNikhil S. SahajpalJie ChenCarlos M. IsalesMark FulcherSadanand FulzeleMDPI AGarticletrigger fingerpaingene expressionNanostringMedicineRENHealthcare, Vol 9, Iss 1592, p 1592 (2021)
institution DOAJ
collection DOAJ
language EN
topic trigger finger
pain
gene expression
Nanostring
Medicine
R
spellingShingle trigger finger
pain
gene expression
Nanostring
Medicine
R
Ravindra Kolhe
Umar Ghilzai
Ashis K. Mondal
Chetan Pundkar
Pankaj Ahluwalia
Nikhil S. Sahajpal
Jie Chen
Carlos M. Isales
Mark Fulcher
Sadanand Fulzele
Nanostring-Based Identification of the Gene Expression Profile in Trigger Finger Samples
description Trigger finger is a common yet vastly understudied fibroproliferative hand pathology, severely affecting patients’ quality of life. Consistent trauma due to inadequate positioning within the afflicted finger’s tendon/pulley system leads to cellular dysregulation and eventual fibrosis. While the genetic characteristics of the fibrotic tissue in the trigger finger have been studied, the pathways that govern the initiation and propagation of fibrosis are still unknown. The complete gene expression profile of the trigger finger has never been explored. Our study has used the Nanostring nCounter gene expression assay to investigate the molecular signaling involved in trigger finger pathogenesis. We collected samples from patients undergoing trigger finger (<i>n</i> = 4) release surgery and compared the gene expression to carpal tunnel tissue (<i>n</i> = 4). Nanostring nCounter analysis identified 165 genes that were differentially regulated; 145 of these genes were upregulated, whereas 20 genes were downregulated. We found that several collagen genes were significantly upregulated, and a regulatory matrix metalloproteinase (MMP), MMP-3, was downregulated. Bioinformatic analysis revealed that several known signaling pathways were dysregulated, such as the TGF-β1 and Wnt signaling pathways. We also found several novel signaling pathways (e.g., PI3K, MAPK, JAK-STAT, and Notch) differentially regulated in trigger finger. The outcome of our study helps in understanding the molecular signaling pathway involved in the pathogenesis of the trigger finger.
format article
author Ravindra Kolhe
Umar Ghilzai
Ashis K. Mondal
Chetan Pundkar
Pankaj Ahluwalia
Nikhil S. Sahajpal
Jie Chen
Carlos M. Isales
Mark Fulcher
Sadanand Fulzele
author_facet Ravindra Kolhe
Umar Ghilzai
Ashis K. Mondal
Chetan Pundkar
Pankaj Ahluwalia
Nikhil S. Sahajpal
Jie Chen
Carlos M. Isales
Mark Fulcher
Sadanand Fulzele
author_sort Ravindra Kolhe
title Nanostring-Based Identification of the Gene Expression Profile in Trigger Finger Samples
title_short Nanostring-Based Identification of the Gene Expression Profile in Trigger Finger Samples
title_full Nanostring-Based Identification of the Gene Expression Profile in Trigger Finger Samples
title_fullStr Nanostring-Based Identification of the Gene Expression Profile in Trigger Finger Samples
title_full_unstemmed Nanostring-Based Identification of the Gene Expression Profile in Trigger Finger Samples
title_sort nanostring-based identification of the gene expression profile in trigger finger samples
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/24515fc1811c4fd488a6ea56a11c1370
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