The technological landscape and applications of single-cell multi-omics
Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …
simultaneously integrating various single-modality omics methods that profile the …
The landscape of aging
Aging is characterized by a progressive deterioration of physiological integrity, leading to
impaired functional ability and ultimately increased susceptibility to death. It is a major risk …
impaired functional ability and ultimately increased susceptibility to death. It is a major risk …
Applications of single-cell sequencing in cancer research: progress and perspectives
Y Lei, R Tang, J Xu, W Wang, B Zhang, J Liu… - Journal of hematology & …, 2021 - Springer
Single-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and
metabolomics sequencing, is a powerful tool to decipher the cellular and molecular …
metabolomics sequencing, is a powerful tool to decipher the cellular and molecular …
Eleven grand challenges in single-cell data science
The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
Multi-omics integration in the age of million single-cell data
An explosion in single-cell technologies has revealed a previously underappreciated
heterogeneity of cell types and novel cell-state associations with sex, disease, development …
heterogeneity of cell types and novel cell-state associations with sex, disease, development …
Characterizing allele-and haplotype-specific copy numbers in single cells with CHISEL
S Zaccaria, BJ Raphael - Nature biotechnology, 2021 - nature.com
Single-cell barcoding technologies enable genome sequencing of thousands of individual
cells in parallel, but with extremely low sequencing coverage (< 0.05×) per cell. While the …
cells in parallel, but with extremely low sequencing coverage (< 0.05×) per cell. While the …
Undisclosed, unmet and neglected challenges in multi-omics studies
Multi-omics approaches have become a reality in both large genomics projects and small
laboratories. However, the multi-omics research community still faces a number of issues …
laboratories. However, the multi-omics research community still faces a number of issues …
Integrative methods and practical challenges for single-cell multi-omics
Fast-developing single-cell multimodal omics (scMulti-omics) technologies enable the
measurement of multiple modalities, such as DNA methylation, chromatin accessibility, RNA …
measurement of multiple modalities, such as DNA methylation, chromatin accessibility, RNA …
Single-cell transcriptomics: current methods and challenges in data acquisition and analysis
Rapid cost drops and advancements in next-generation sequencing have made profiling of
cells at individual level a conventional practice in scientific laboratories worldwide. Single …
cells at individual level a conventional practice in scientific laboratories worldwide. Single …
CaSpER identifies and visualizes CNV events by integrative analysis of single-cell or bulk RNA-sequencing data
RNA sequencing experiments generate large amounts of information about expression
levels of genes. Although they are mainly used for quantifying expression levels, they …
levels of genes. Although they are mainly used for quantifying expression levels, they …