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 …
Single-cell proteomics enabled by next-generation sequencing or mass spectrometry
In the last decade, single-cell RNA sequencing routinely performed on large numbers of
single cells has greatly advanced our understanding of the underlying heterogeneity of …
single cells has greatly advanced our understanding of the underlying heterogeneity of …
CODEX multiplexed tissue imaging with DNA-conjugated antibodies
Advances in multiplexed imaging technologies have drastically improved our ability to
characterize healthy and diseased tissues at the single-cell level. Co-detection by indexing …
characterize healthy and diseased tissues at the single-cell level. Co-detection by indexing …
Single-cell multiomics: technologies and data analysis methods
Advances in single-cell isolation and barcoding technologies offer unprecedented
opportunities to profile DNA, mRNA, and proteins at a single-cell resolution. Recently, bulk …
opportunities to profile DNA, mRNA, and proteins at a single-cell resolution. Recently, bulk …
Spatial imaging of glycoRNA in single cells with ARPLA
Little is known about the biological roles of glycosylated RNAs (glycoRNAs), a recently
discovered class of glycosylated molecules, because of a lack of visualization methods. We …
discovered class of glycosylated molecules, because of a lack of visualization methods. We …
Applications of multi‐omics analysis in human diseases
Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
Simultaneous epitope and transcriptome measurement in single cells
High-throughput single-cell RNA sequencing has transformed our understanding of complex
cell populations, but it does not provide phenotypic information such as cell-surface protein …
cell populations, but it does not provide phenotypic information such as cell-surface protein …
Guidelines for the use of flow cytometry and cell sorting in immunological studies
A Cossarizza, HD Chang, A Radbruch… - European journal of …, 2019 - Wiley Online Library
These guidelines are a consensus work of a considerable number of members of the
immunology and flow cytometry community. They provide the theory and key practical …
immunology and flow cytometry community. They provide the theory and key practical …
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
Higher-order inter-chromosomal hubs shape 3D genome organization in the nucleus
SA Quinodoz, N Ollikainen, B Tabak, A Palla… - Cell, 2018 - cell.com
Eukaryotic genomes are packaged into a 3-dimensional structure in the nucleus. Current
methods for studying genome-wide structure are based on proximity ligation. However, this …
methods for studying genome-wide structure are based on proximity ligation. However, this …