Integrative Spatial Proteomics and Single-Cell RNA Sequencing Unveil Molecular Complexity in Rheumatoid Arthritis for Novel Therapeutic Targeting

Understanding the heterogeneity of Rheumatoid Arthritis (RA) and identifying therapeutic targets remain challenging using traditional bulk transcriptomics alone, as it lacks the spatial and protein-level resolution needed to fully capture disease and tissue complexities. In this study, we applied La...

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Main Authors: Xue Wang, Fei Wang, Archana S. Iyer, Heather Knight, Lori J. Duggan, Yingli Yang, Liang Jin, Baoliang Cui, Yupeng He, Jan Schejbal, Lucy A. Phillips, Bohdan P. Harvey, Sílvia Sisó, Yu Tian
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Language:English
Published: MDPI AG 2025-05-01
Series:Proteomes
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Online Access:https://www.mdpi.com/2227-7382/13/2/17
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author Xue Wang
Fei Wang
Archana S. Iyer
Heather Knight
Lori J. Duggan
Yingli Yang
Liang Jin
Baoliang Cui
Yupeng He
Jan Schejbal
Lucy A. Phillips
Bohdan P. Harvey
Sílvia Sisó
Yu Tian
author_facet Xue Wang
Fei Wang
Archana S. Iyer
Heather Knight
Lori J. Duggan
Yingli Yang
Liang Jin
Baoliang Cui
Yupeng He
Jan Schejbal
Lucy A. Phillips
Bohdan P. Harvey
Sílvia Sisó
Yu Tian
author_sort Xue Wang
collection DOAJ
description Understanding the heterogeneity of Rheumatoid Arthritis (RA) and identifying therapeutic targets remain challenging using traditional bulk transcriptomics alone, as it lacks the spatial and protein-level resolution needed to fully capture disease and tissue complexities. In this study, we applied Laser Capture Microdissection (LCM) coupled with mass spectrometry-based proteomics to analyze histopathological niches of the RA synovium, enabling the identification of protein expression profiles of the diseased synovial lining and sublining microenvironments compared to their healthy counterparts. In this respect, key pathogenetic RA proteins like membrane proteins (TYROBP, AOC3, SLC16A3, TCIRG1, and NCEH1), and extracellular matrix (ECM) proteins (PLOD2, OGN, and LUM) showed different expression patterns in diseased synovium compartments. To enhance our understanding of cellular dynamics within the dissected regions, we further integrated the proteomic dataset with single-cell RNA sequencing (scRNA-seq), and deduced cell type enrichment, including T cells, fibroblasts, NK cells, myeloid cells, B cells, and synovial endothelial cells. By combining high-resolution spatial proteomics and transcriptomic analyses, we provide novel insights into the molecular mechanisms driving RA, and highlight potential protein targets for therapeutic intervention. This integrative approach offers a more comprehensive view of RA synovial pathology, and mitigates the limitations of traditional bulk transcriptomics in target discovery.
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spelling doaj-art-e5f7acf9d4434c24b259a43e560b99df2025-08-20T03:29:48ZengMDPI AGProteomes2227-73822025-05-011321710.3390/proteomes13020017Integrative Spatial Proteomics and Single-Cell RNA Sequencing Unveil Molecular Complexity in Rheumatoid Arthritis for Novel Therapeutic TargetingXue Wang0Fei Wang1Archana S. Iyer2Heather Knight3Lori J. Duggan4Yingli Yang5Liang Jin6Baoliang Cui7Yupeng He8Jan Schejbal9Lucy A. Phillips10Bohdan P. Harvey11Sílvia Sisó12Yu Tian13AbbVie, South San Francisco, CA 94080, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie, North Chicago, IL 60064, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie, Cambridge, MA 02139, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAAbbVie Bioresearch Center, Worcester, MA 01605, USAUnderstanding the heterogeneity of Rheumatoid Arthritis (RA) and identifying therapeutic targets remain challenging using traditional bulk transcriptomics alone, as it lacks the spatial and protein-level resolution needed to fully capture disease and tissue complexities. In this study, we applied Laser Capture Microdissection (LCM) coupled with mass spectrometry-based proteomics to analyze histopathological niches of the RA synovium, enabling the identification of protein expression profiles of the diseased synovial lining and sublining microenvironments compared to their healthy counterparts. In this respect, key pathogenetic RA proteins like membrane proteins (TYROBP, AOC3, SLC16A3, TCIRG1, and NCEH1), and extracellular matrix (ECM) proteins (PLOD2, OGN, and LUM) showed different expression patterns in diseased synovium compartments. To enhance our understanding of cellular dynamics within the dissected regions, we further integrated the proteomic dataset with single-cell RNA sequencing (scRNA-seq), and deduced cell type enrichment, including T cells, fibroblasts, NK cells, myeloid cells, B cells, and synovial endothelial cells. By combining high-resolution spatial proteomics and transcriptomic analyses, we provide novel insights into the molecular mechanisms driving RA, and highlight potential protein targets for therapeutic intervention. This integrative approach offers a more comprehensive view of RA synovial pathology, and mitigates the limitations of traditional bulk transcriptomics in target discovery.https://www.mdpi.com/2227-7382/13/2/17rheumatoid arthritislaser capture microdissectionuntargeted proteomicsmass spectrometrymulti-omics integrationscRNA-seq
spellingShingle Xue Wang
Fei Wang
Archana S. Iyer
Heather Knight
Lori J. Duggan
Yingli Yang
Liang Jin
Baoliang Cui
Yupeng He
Jan Schejbal
Lucy A. Phillips
Bohdan P. Harvey
Sílvia Sisó
Yu Tian
Integrative Spatial Proteomics and Single-Cell RNA Sequencing Unveil Molecular Complexity in Rheumatoid Arthritis for Novel Therapeutic Targeting
Proteomes
rheumatoid arthritis
laser capture microdissection
untargeted proteomics
mass spectrometry
multi-omics integration
scRNA-seq
title Integrative Spatial Proteomics and Single-Cell RNA Sequencing Unveil Molecular Complexity in Rheumatoid Arthritis for Novel Therapeutic Targeting
title_full Integrative Spatial Proteomics and Single-Cell RNA Sequencing Unveil Molecular Complexity in Rheumatoid Arthritis for Novel Therapeutic Targeting
title_fullStr Integrative Spatial Proteomics and Single-Cell RNA Sequencing Unveil Molecular Complexity in Rheumatoid Arthritis for Novel Therapeutic Targeting
title_full_unstemmed Integrative Spatial Proteomics and Single-Cell RNA Sequencing Unveil Molecular Complexity in Rheumatoid Arthritis for Novel Therapeutic Targeting
title_short Integrative Spatial Proteomics and Single-Cell RNA Sequencing Unveil Molecular Complexity in Rheumatoid Arthritis for Novel Therapeutic Targeting
title_sort integrative spatial proteomics and single cell rna sequencing unveil molecular complexity in rheumatoid arthritis for novel therapeutic targeting
topic rheumatoid arthritis
laser capture microdissection
untargeted proteomics
mass spectrometry
multi-omics integration
scRNA-seq
url https://www.mdpi.com/2227-7382/13/2/17
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