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Predicting drug response from single-cell expression profiles of tumours
BackgroundIntra-tumour heterogeneity (ITH) presents a significant obstacle in formulating effective treatment strategies in clinical practice....
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Advances in single-cell RNA sequencing and its applications in cancer research
Cancers are a group of heterogeneous diseases characterized by the acquisition of functional capabilities during the transition from a normal to a...
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Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease
In the past decade, single-cell technologies have proliferated and improved from their technically challenging beginnings to become common laboratory...
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Autophagy-prominent cell clusters among human lens epithelial cells: integrated single-cell RNA-sequencing analysis
BackgroundAutophagy is an important process that maintains the quality of intracellular proteins and organelles. There is extensive evidence that...
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Single-cell RNA sequencing of anaplastic ependymoma and H3K27M-mutant diffuse midline glioma
BackgroundAnaplastic ependymoma and H3K27M-mutant diffuse midline glioma are two common subtypes of brain tumors with poor long-term prognosis. The...
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Exploring natural killer cell-related biomarkers in multiple myeloma: a novel nature killer cell-related model predicting prognosis and immunotherapy response using single-cell study
BackgroundNatural killer cells (NKs) may be involved in multiple myeloma (MM) progression. The present study elucidated the correlation between NKs...
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Single-cell transcriptomics for the assessment of cardiac disease
Cardiovascular disease is the leading cause of death globally. An advanced understanding of cardiovascular disease mechanisms is required to improve...
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Characterisation of premature cell senescence in Alzheimer’s disease using single nuclear transcriptomics
Aging is associated with cell senescence and is the major risk factor for AD. We characterized premature cell senescence in postmortem brains from...
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Single-cell transcriptome atlas in C57BL/6 mice encodes morphological phenotypes in the aging kidneys
C57BL/6 mice are frequently utilized as murine models with the desired genetic background for altertion in multiple research contexts. So far, there...
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Single-cell transcriptomics of popliteal lymphatic vessels and peripheral veins reveals altered lymphatic muscle and immune cell populations in the TNF-Tg arthritis model
BackgroundLymphatic dysfunction exists in tumor necrosis factor transgenic (TNF-Tg) mice and rheumatoid arthritis (RA) patients. While joint-draining...
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Liver cancer from the perspective of single-cell sequencing: a review combined with bibliometric analysis
BackgroundLiver cancer (LC) is a prevalent malignancy and a leading cause of cancer-related mortality worldwide. Extensive research has been...
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Single-cell and spatial transcriptomics reveal metastasis mechanism and microenvironment remodeling of lymph node in osteosarcoma
BackgroundOsteosarcoma (OS) is the most common primary malignant bone tumor and is highly prone to metastasis. OS can metastasize to the lymph node...
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The implications of single-cell RNA-seq analysis in prostate cancer: unraveling tumor heterogeneity, therapeutic implications and pathways towards personalized therapy
In recent years, advancements in single-cell and spatial transcriptomics, which are highly regarded developments in the current era, particularly the...
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Deciphering pathogenic cellular module at single-cell resolution in checkpoint inhibitor-related pneumonitis
Checkpoint inhibitor pneumonitis (CIP) is the most common fatal immune-related adverse event; however, its pathophysiology remains largely unknown....
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Single-cell transcriptome study in forensic medicine: prospective applications
Next-generation sequencing and single-cell RNA sequencing (scRNA-seq) technologies have advanced rapidly in recent years. scRNA-seq reveals the...
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Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis
Single-cell sequencing (SCS) is an emerging high-throughput technology that can be used to study the genomics, transcriptomics, and epigenetics at a...
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Identification of potential diagnostic biomarkers for tenosynovial giant cell tumour by integrating microarray and single-cell RNA sequencing data
PurposeTenosynovial giant cell tumour (TGCT) is a benign hyperplastic and inflammatory disease of the joint synovium or tendon sheaths, which may be...
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The consequences of data dispersion in genomics: a comparative analysis of data sources for precision medicine
BackgroundGenomics-based clinical diagnosis has emerged as a novel medical approach to improve diagnosis and treatment. However, advances in...
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Single-cell RNA sequencing of submandibular gland reveals collagen type XV-positive fibroblasts as a disease-characterizing cell population of IgG4-related disease
ObjectivesIgG4-related disease (IgG4-RD) is a systemic autoimmune disease with an unknown etiology, affecting single/multiple organ(s). Pathological...
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Single-cell transcriptome analysis reveals stem cell-like subsets in the progression of Waldenström’s macroglobulinemia
Waldenström’s macroglobulinemia (WM) is an uncommon lymphoproliferative disorder, and the precise cellular landscape and the mechanisms of...
