Integrated single-cell analyses decode the developmental landscape of the human fetal spine

Yu, Haiyan; Tang, Donge; Wu, Hongwei; Li, Chunhong; Lu, Yongping; He, Fei; Zhang, Xiaogang; Yang, Yane; Shi, Wei; Hu, Wenlong; Zeng, Zhipeng; Dai, Werer; Ou, Minglin; Dai, Yong

doi:10.1016/j.isci.2022.104679

Cited by 6 publications

(1 citation statement)

References 52 publications

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“…Notably, HOXA10 expression was predominantly restricted to lumbar vertebrae clusters, suggesting its role as a determining factor in lumbar formation. Yu et al [ 115 ] analyzed the transcriptome of human fetal spines from 8 to 17 gestational weeks at single-cell resolution and found that HIST1H1A + COL2A1 − fibroblasts may be regulated by TUBB along with its upstream transcription factor HOXA10. Recently, an integrated analysis combining spatiotemporal information and scRNA-seq was performed on both human and mouse spines during embryonic stages.…”

Section: Various Applications Of Scrna-seq Research In Skeletal Healt...mentioning

confidence: 99%

Advancing skeletal health and disease research with single-cell RNA sequencing

Lin,

Gan,

et al. 2024

Military Med Res

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Orthopedic conditions have emerged as global health concerns, impacting approximately 1.7 billion individuals worldwide. However, the limited understanding of the underlying pathological processes at the cellular and molecular level has hindered the development of comprehensive treatment options for these disorders. The advent of single-cell RNA sequencing (scRNA-seq) technology has revolutionized biomedical research by enabling detailed examination of cellular and molecular diversity. Nevertheless, investigating mechanisms at the single-cell level in highly mineralized skeletal tissue poses technical challenges. In this comprehensive review, we present a streamlined approach to obtaining high-quality single cells from skeletal tissue and provide an overview of existing scRNA-seq technologies employed in skeletal studies along with practical bioinformatic analysis pipelines. By utilizing these methodologies, crucial insights into the developmental dynamics, maintenance of homeostasis, and pathological processes involved in spine, joint, bone, muscle, and tendon disorders have been uncovered. Specifically focusing on the joint diseases of degenerative disc disease, osteoarthritis, and rheumatoid arthritis using scRNA-seq has provided novel insights and a more nuanced comprehension. These findings have paved the way for discovering novel therapeutic targets that offer potential benefits to patients suffering from diverse skeletal disorders.

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Section: Various Applications Of Scrna-seq Research In Skeletal Healt...mentioning

confidence: 99%

Advancing skeletal health and disease research with single-cell RNA sequencing

Lin,

Gan,

et al. 2024

Military Med Res

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Mapping Cell Atlases at the Single‐Cell Level

Ye,

Wang,

et al. 2023

Advanced Science

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Recent advancements in single‐cell technologies have led to rapid developments in the construction of cell atlases. These atlases have the potential to provide detailed information about every cell type in different organisms, enabling the characterization of cellular diversity at the single‐cell level. Global efforts in developing comprehensive cell atlases have profound implications for both basic research and clinical applications. This review provides a broad overview of the cellular diversity and dynamics across various biological systems. In addition, the incorporation of machine learning techniques into cell atlas analyses opens up exciting prospects for the field of integrative biology.

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The proteomic landscape of extracellular vesicles derived from human intervertebral disc cells

Li,

Al‐Jallad,

Sun

et al. 2024

JOR Spine

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BackgroundExtracellular vesicles (EVs) function as biomarkers and are crucial in cell communication and regulation, with therapeutic potential for intervertebral disc (IVD)‐related low back pain (LBP). EV cargo is often affected by tissue health, which may affect the therapeutic potential. There is currently limited knowledge of how the cargo of IVD cell‐derived EVs varies with tissue health and how differences in proteomic profile affect the predicted biological functions.MethodsOur study purified EVs from human IVD cell conditioned media by size‐exclusion chromatography. Nanoparticle tracking analysis was conducted to measure EV size and concentration. Transmission electron microscopy and Western blot were performed to examine EV structure and markers. Tandem mass tag‐mass spectrometry was conducted to determine protein cargo.ResultsMost EVs were exosomes and intermediate microvesicles with an increasing amount linked to disease progression. Of the proteins detected, 88.6% were shared across the non‐degenerate, mildly‐degenerate, and degenerate samples. GO and KEGG analyses revealed that cargo from the mildly‐degenerate samples was the most distinct, with the proteins in high abundance strongly associated with extracellular matrix (ECM) organization and structure. Shared proteins, highly expressed in the non‐degenerate and degenerate samples, showed strong associations with cell adhesion, ECM–receptor interaction, and vesicle‐mediated transport, respectively.ConclusionsOur findings indicate that EVs from IVD cells from tissue with different degrees of degeneration share a majority of the cargo proteins. However, the level of expression differs with degeneration grade. Cargo from the mildly‐degenerate samples exhibits the most differences. A better understanding of changes in EV cargo in the degenerative process may provide novel information related to molecular mechanisms underlying IVD degeneration and suggest new potential treatment modalities for IVD‐related LBP.

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Integrated single-cell analyses decode the developmental landscape of the human fetal spine

Cited by 6 publications

References 52 publications

Advancing skeletal health and disease research with single-cell RNA sequencing

Advancing skeletal health and disease research with single-cell RNA sequencing

Mapping Cell Atlases at the Single‐Cell Level

The proteomic landscape of extracellular vesicles derived from human intervertebral disc cells

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