Category Archives: Featured

Computational Biology and Bioinformatics

High-throughput genomic technologies are rapidly evolving including the areas of DNA and RNA sequencing. Novel types of complex data are being quickly generated and require novel methods for quality control and analysis. We are currently focused on developing and/or applying methods for identifying genomic alterations in cancer, quantifying the mutagenic effect of carcinogens, and characterizing ……

Identifying Early Drivers of Lung Cancer

Lung adenocarcinomas and lung squamous cell carcinomas are the most common types of lung cancer and remain major causes of death worldwide despite advances in smoking cessation, early detection, and targeted and immunological therapies. Many patients have lung cancers that do not harbor a known activating mutation and therefore cannot be given targeted therapies. In ……

Therapeutic Development and Pathogenesis of COPD

Chronic Obstructive Pulmonary Disease (COPD) is the 4th leading cause of death in the world. Our understanding of the molecular mechanisms responsible for the initiation and progression of this disease are limited. By examining expression differences between individuals with and without COPD or differences within a person along a gradient of disease, we hope to ……

Whole-genome doubling confers unique genetic vulnerabilities on tumour cells

Ryan J. Quinton, Amanda DiDomizio, Marc A. Vittoria, Kristýna Kotýnková, Carlos J. Ticas, Sheena Patel, Yusuke Koga, Jasmine Vakhshoorzadeh, Nicole Hermance, Taruho S. Kuroda, Neha Parulekar, Alison M. Taylor, Amity L. Manning, Joshua D. Campbell & Neil J. Ganem  Nature volume 590, pages492–497 (2021)Cite this article Abstract Whole-genome doubling (WGD) is common in human cancers, occurring early in tumorigenesis and generating genetically unstable tetraploid cells that fuel tumour development1,2. Cells that undergo WGD ……

Genomic Profiling of Prostate Cancers from Men with African and European Ancestry

Yusuke Koga, Hanbing Song, Zachary R. Chalmers, Justin Newberg, Eejung Kim, Jian Carrot-Zhang, Daphnee Piou, Paz Polak, Sarki A. Abdulkadir, Elad Ziv, Matthew Meyerson, Garrett M. Frampton, Joshua D. Campbell and Franklin W. Huang. Abstract Purpose: African American (AFR) men have the highest mortality rate from prostate cancer (PCa) compared with men of other racial/ancestral groups. Differences in the spectrum of somatic genome alterations in tumors between AFR men and other populations have not been well-characterized due to a lack of inclusion of significant ……

Decontamination of ambient RNA in single-cell RNA-seq with DecontX

Shiyi Yang, Sean E. Corbett, Yusuke Koga, Zhe Wang, W. Evan Johnson, Masanao Yajima, Joshua D. Campbell. Abstract Droplet-based microfluidic devices have become widely used to perform single-cell RNA sequencing (scRNA-seq). However, ambient RNA present in the cell suspension can be aberrantly counted along with a cell’s native mRNA and result in cross-contamination of transcripts between different ……

Characterizing smoking-induced transcriptional heterogeneity in the human bronchial epithelium at single-cell resolution

Grant E. Duclos, Vitor H. Teixeira, Patrick Autissier, Yaron B. Gesthalter, Marjan A. Reinders-Luinge, Robert Terrano, Yves M. Dumas, Gang Liu, Sarah A. Mazzilli, Corry-Anke Brandsma, Maarten van den Berge, Sam M. Janes, Wim Timens, Marc E. Lenburg, Avrum Spira, Joshua D. Campbell*, Jennifer Beane* Abstract The advent of high-throughput sequencing technologies has led to the ……

Pipeliner: A Nextflow-Based Framework for the Definition of Sequencing Data Processing Pipelines

Anthony Federico, Tanya Karagiannis, Kritika Karri, Dileep Kishore, Yusuke Koga, Joshua D. Campbell, Stefano Monti. Abstract The advent of high-throughput sequencing technologies has led to the need for flexible and user-friendly data preprocessing platforms. The Pipeliner framework provides an out-of-the-box solution for processing various types of sequencing data. It combines the Nextflow scripting language and Anaconda package ……

scruff: an R/Bioconductor package for preprocessing single-cell RNA-sequencing data

Zhe Wang, Junming Hu, W. Evan Johnson, Joshua D. Campbell Abstract Background: Single-cell RNA sequencing (scRNA-seq) enables the high-throughput quantification of transcriptional profiles in single cells. In contrast to bulk RNA-seq, additional preprocessing steps such as cell barcode identification or unique molecular identifier (UMI) deconvolution are necessary for preprocessing of data from single cell protocols. R packages that ……

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

Joshua D. Campbell, Christina Yau, Reanne Bowlby, Yuexin Liu, Kevin Brennan, Huihui Fan, Alison M. Taylor, Chen Wang, Vonn Walter, Rehan Akbani, Lauren Averett Byers, Chad J. Creighton, Cristian Coarfa, Juliann Shih, Andrew D. Cherniack, livier Gevaert, Marcos Prunello, Hui Shen, Pavana Anur, Jianhong Chen, Hui Cheng, D. Neil Hayes, Susan Bullman, Chandra Sekhar Pedamallu, ……