Large-scale integration of the plasma proteome with genetics and disease | Nature Genetics
The plasma proteome can help bridge the gap between the genome and diseases. Here researchers describe genome-wide association studies (GWASs) of plasma protein levels measured with 4,907 aptamers in 35,559 Icelanders. Combining proteomics, genomics and transcriptomics, they provide a valuable resource that can be used to improve understanding of disease pathogenesis and to assist with drug discovery and development.
Isoform-level Quantification for Single-Cell RNA Sequencing | Bioinformatics
RNA expression at isoform level is biologically more informative than at gene level and can potentially reveal cellular subsets and corresponding biomarkers that are not visible at gene level. Researchers have developed an isoform-level quantification method for high-throughput single-cell RNA sequencing by exploiting the concepts of transcription clusters and isoform paralogs. The method, called Scasa, compares well in simulations against competing approaches at both isoform- and gene-level expression.
Feature selection revisited in the single-cell era | Genome Biology
Recent advances in single-cell biotechnologies have resulted in high-dimensional datasets with increased complexity, making feature selection an essential technique for single-cell data analysis. Here, the authors revisit feature selection techniques and summarise recent developments. They review their application to a range of single-cell data types generated from traditional cytometry and imaging technologies and the latest array of single-cell omics technologies. They highlight some of the challenges and future directions and finally consider their scalability and make general recommendations on each type of feature selection method.