Joshua D. Campbell, Ph.D.

Assistant Professor, Section of Computational Biomedicine, Department of Medicine, BUSM

Joshua Campbell received his Bachelor’s degree from Anderson University with degrees in Biology, Computer Science, and Mathematics. He earned a Ph.D. in Bioinformatics from Boston University in the lab of Avrum Spira and Marc Lenburg to identify mechanisms of COPD pathogenesis. He then performed his postdoctoral research at Dana-Farber Cancer Institute and the Broad Institute of Harvard and MIT with Matthew Meyerson where he worked with The Cancer Genome Atlas (TCGA) to identify novel mutational drivers of lung cancer. He is currently an assistant professor in the Department of Medicine at Boston University School of Medicine (BUSM) where he develops novel Bayesian approaches to analyze genomic data in the setting of cancer. He is also the co-scientific director of the BU Medical Campus Single Cell Sequencing core.


Outside links: 

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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, ……


Alterations in Bronchial Airway miRNA Expression for Lung Cancer Detection

Ana B. Pavel, Joshua D. Campbell, Gang Liu, David Elashoff, Steven Dubinett, Kate Smith, Duncan Whitney, Marc E. Lenburg and Avrum Spira. Abstract We have previously shown that gene expression alterations in normal-appearing bronchial epithelial cells can serve as a lung cancer detection biomarker in smokers. Given that miRNAs regulate airway gene expression responses to smoking, ……


Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas

Joshua D Campbell, Anton Alexandrov, Jaegil Kim, Jeremiah Wala, Alice H Berger, Chandra Sekhar Pedamallu, Sachet A Shukla, Guangwu Guo, Angela N Brooks, Bradley A Murray, Marcin Imielinski, Xin Hu, Shiyun Ling, Rehan Akbani, Mara Rosenberg, Carrie Cibulskis, Aruna Ramachandran, Eric A Collisson, David J Kwiatkowski, Michael S Lawrence, John N Weinstein, Roel G W ……