2022
DOI: 10.1002/ctd2.95
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Applications of single‐cell multi‐omics sequencing in deep understanding of brain diseases

Abstract: Single-cell sequencing (SCS) revolutionises our understanding of genomic, transcriptomic, proteomic and epigenomic landscapes of cells within the brain. • Single-cell sequencing technologies provide novel data sources available for exploration of brain development and brain-related diseases. • Applications of single-cell multi-omics sequencing facilitate brain intricacy deciphering as well as diagnosis, targeted therapy and prognosis of a wide range of brain diseases.

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Cited by 2 publications
(2 citation statements)
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References 493 publications
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“…Current single-cell ecDNA detection methods can be broadly categorized into two primary groups. The first group involves the use of computational tools and WGS data obtained from NGS 56 or TGS 57, 58 to identify circularization sites. However, distinguishing between ecDNA and HSR using this approach can be challenging, because they have the same breakpoint sequences.…”
Section: Discussionmentioning
confidence: 99%
“…Current single-cell ecDNA detection methods can be broadly categorized into two primary groups. The first group involves the use of computational tools and WGS data obtained from NGS 56 or TGS 57, 58 to identify circularization sites. However, distinguishing between ecDNA and HSR using this approach can be challenging, because they have the same breakpoint sequences.…”
Section: Discussionmentioning
confidence: 99%
“…SCS has emerged as a critical tool for mapping the cellular landscape of the brain, revealing new cell types and pathways involved in neurological diseases. For instance, in Alzheimer's disease research, SCS has identified specific subpopulations of neurons and glial cells that are disproportionately affected by pathological processes, offering new targets for therapeutic intervention 4,5 . Similarly, in the study of psychiatric disorders, SCS is uncovering the cellular basis of disease phenotypes, paving the way for novel diagnostic markers and treatment strategies.…”
Section: Figurementioning
confidence: 99%