Single-cell RNA sequencing offers snapshots of whole transcriptomes but obscures the temporal RNA dynamics. Researchers from the University of Pennsylvania have developed single-cell metabolically labeled new RNA tagging sequencing (scNT-seq), a method for massively parallel analysis of newly transcribed and ...
Read More »Mapping RNA splicing variations in clinically accessible and nonaccessible tissues to facilitate Mendelian disease diagnosis using RNA-seq
RNA-seq is a promising approach to improve diagnoses by detecting pathogenic aberrations in RNA splicing that are missed by DNA sequencing...
Read More »Akron-seq – capturing 5′ and 3′ native ends of mRNAs concurrently
Advances in RNA-sequencing methods have uncovered many aspects of RNA metabolism but are limited to surveying either the 3′ or 5′ terminus of RNAs, thus missing mechanistic aspects that ...
Read More »SAVER – gene expression recovery for single-cell RNA sequencing
In single-cell RNA sequencing (scRNA-seq) studies, only a small fraction of the transcripts present in each cell are sequenced. This leads to unreliable...
Read More »Gene expression distribution deconvolution in single-cell RNA sequencing
Single-cell RNA sequencing (scRNA-seq) enables the quantification of each gene’s expression distribution across cells, thus allowing the assessment of the...
Read More »scRNA-Seq reveals that previous studies in blood have largely failed to capture the major component of HIV-specific CD8+ T cell responses in lymphoid tissues
Current paradigms of CD8+ T cell–mediated protection in HIV infection center almost exclusively on studies of peripheral blood, which is thought to provide a window into immune activity at the predominant sites of viral replication in lymphoid tissues (LTs). Through ...
Read More »SPAR – small RNA-seq portal for analysis of sequencing experiments
The introduction of new high-throughput small RNA sequencing protocols that generate large-scale genomics datasets along with increasing evidence of the significant regulatory roles of small non-coding RNAs (sncRNAs) have highlighted the urgent need for...
Read More »Integrative deep models for alternative splicing
Advancements in sequencing technologies have highlighted the role of alternative splicing (AS) in increasing transcriptome complexity. This role of AS, combined with the relation of aberrant splicing to malignant states, motivated two streams of research, experimental and computational. The first ...
Read More »Cross-Platform Normalization Enables Machine Learning Model Training On Microarray And RNA-Seq Data Simultaneously
Large compendia of gene expression data have proven valuable for the discovery of novel biological relationships. The majority of available RNA assays are run on microarray, while RNA-seq is becoming the platform of choice for new experiments. The data structure ...
Read More »Modeling allele-specific gene expression by single-cell RNA sequencing
Allele-specific expression is traditionally studied by bulk RNA sequencing, which measures average expression across cells. Single-cell RNA sequencing (scRNA-seq) allows the comparison of expression distribution between the two alleles of a diploid organism and thus the characterization of allele-specific bursting. ...
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