Extracellular vesicle analysis

A Hendrix, L Lippens, C Pinheiro, C Théry… - Nature Reviews …, 2023 - nature.com
Cells release small, phospholipid membrane-enclosed particles, collectively referred to as
extracellular vesicles (EVs), into their surroundings to enable intercellular communication …

Spatial omics technologies at multimodal and single cell/subcellular level

J Park, J Kim, T Lewy, CM Rice, O Elemento… - Genome Biology, 2022 - Springer
Spatial omics technologies enable a deeper understanding of cellular organizations and
interactions within a tissue of interest. These assays can identify specific compartments or …

[HTML][HTML] Translating RNA sequencing into clinical diagnostics: opportunities and challenges

SA Byron, KR Van Keuren-Jensen… - Nature Reviews …, 2016 - nature.com
With the emergence of RNA sequencing (RNA-seq) technologies, RNA-based biomolecules
hold expanded promise for their diagnostic, prognostic and therapeutic applicability in …

Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package

S Tarazona, P Furió-Tarí, D Turrà, AD Pietro… - Nucleic acids …, 2015 - academic.oup.com
As the use of RNA-seq has popularized, there is an increasing consciousness of the
importance of experimental design, bias removal, accurate quantification and control of false …

Performance assessment of DNA sequencing platforms in the ABRF Next-Generation Sequencing Study

J Foox, SW Tighe, CM Nicolet, JM Zook… - Nature …, 2021 - nature.com
Assessing the reproducibility, accuracy and utility of massively parallel DNA sequencing
platforms remains an ongoing challenge. Here the Association of Biomolecular Resource …

variancePartition: interpreting drivers of variation in complex gene expression studies

GE Hoffman, EE Schadt - BMC bioinformatics, 2016 - Springer
Background As large-scale studies of gene expression with multiple sources of biological
and technical variation become widely adopted, characterizing these drivers of variation …

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

F Buettner, KN Natarajan, FP Casale, V Proserpio… - Nature …, 2015 - nature.com
Recent technical developments have enabled the transcriptomes of hundreds of cells to be
assayed in an unbiased manner, opening up the possibility that new subpopulations of cells …

Design and computational analysis of single-cell RNA-sequencing experiments

R Bacher, C Kendziorski - Genome biology, 2016 - Springer
Single-cell RNA-sequencing (scRNA-seq) has emerged as a revolutionary tool that allows
us to address scientific questions that eluded examination just a few years ago. With the …

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

Nature biotechnology, 2014 - nature.com
We present primary results from the Sequencing Quality Control (SEQC) project,
coordinated by the US Food and Drug Administration. Examining Illumina HiSeq, Life …

Intron retention is a source of neoepitopes in cancer

AC Smart, CA Margolis, H Pimentel, MX He… - Nature …, 2018 - nature.com
We present an in silico approach to identifying neoepitopes derived from intron retention
events in tumor transcriptomes. Using mass spectrometry immunopeptidome analysis, we …