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ChuangLab News on Linkedin

For more recent posts about lab news, look us up on linkedin.

December 2023 Updates

Congratulations to Patience Mukashyaka for passing her PhD private defense!

The lab has also received grants in 2023 from:

-the Hevolution foundation to study how aging impacts spatial behaviors within epithelial tissues (with Olga Anczukow)

-an NCI/NIA grant to use spatial transcriptomics and long read sequencing to study aging pre-neoplastic tissues (with Olga Anczukow)

-an NCI supplement awarded to Jill Rubinstein to develop algorithms to classify pediatric sarcomas from image data

-a JAX Director's Innovation award to study spontaneous tumors in aged mice (with Ron Korstanje, Paul Robson, and Karolina Palucka)

-a DoD grant to study spatial architecture of cutaneous t-cell lymphoma (with Pei-Ling Chen from Moffitt Cancer Center), and renewal of our PDXNet U24 Coordination Center grant.

-a Renewal of PDXNet U24 Data Commons and Coordination Center (September 2023)

-The lab has also neem a member of the NIH Cellular Senescence Network, for which Dr. Chuang co-leads the Data Core for the KAPP-Sen U54 performing combinational spatial proteomics, spatial transcriptomics, and H&E image-based interpretation of kidney, placenta, and pancreas tissues since 2021.

Congratulations to Minji (Jan 2023)

Congratulations and best wishes to Minji Kim, who will be starting a new position as a faculty member at the University of Michigan!

Digital Pathology Work Featured in Pathology News (Sept 2021)

Pathology News interview in which we discuss the intersections of digital pathology, cancer genetics, and multi-omic spatial profiling.

https://www.pathologynews.com/digital-pathology/conversation-with-professor-jeff-chuang-leading-expert-in-tumor-heterogeneity/

PIVOT Consortium (Sept 2021)

To address the need for increased preclinical testing and approval of pediatric cancer treatments, the National Cancer Institute (NCI), part of the National Institutes of Health (NIH), is funding the Pediatric Preclinical In Vivo Testing Program (PIVOT), a new initiative which will be coordinated by The Jackson Laboratory. Our lab will be co-leading the PIVOT Coordination Center with JAX colleagues Carol Bult and Emily Jocoy, as well as Dennis Dean (Seven Bridges Genomics).

https://www.jax.org/news-and-insights/2021/september/kids-with-cancer-cant-wait

Interview on Sacramento FOX40 TV Sept 17, 2021

PDXNet Worked Highlighted by the National Cancer Institute (March 2020)

Our team's work for the PDXNet Data Commons and Coordination Center -- especially led by Xingyi Woo, Anuj Srivastava, Mike Lloyd, and Steve Neuhauser, and in conjunction with Seven Bridges Genomics -- was highlighted by the National Cancer Institute. Great job, team! https://www.cancer.gov/news-events/cancer-currents-blog/2020/cancer-moonshot-nci-workshop-advances-collaboration

New Opening in Cancer Computational Biology (Nov 2019)

The Chuang Lab at JAX-GM is seeking a postdoctoral scientist / research scientist to join our projects combining computational and experimental approaches to study cancer. Our current projects are at the intersections of cancer biology, machine learning, genomics, image analysis, and pathology. This is a fast-moving field with tremendous opportunities to understand cancer and impact patient outcomes. New team members will have unique opportunities to investigate mechanisms of cancer, to design new studies, and to develop novel artificial intelligence approaches to mine these data. For more information see:
http://chuanglabwiki.jax.org/Openings

Computational Biology Education Modules Published in PLoS Comp Bio (June 2019)

Congratulations to Ada Zhan for leading the project published in PLoS Computational Biology on "Fostering bioinformatics education through skill development of professors: Big Genomic Data Skills Training for Professors." This article also provides open source scripts and teaching materials suitable for undergraduate-level computational biology training.
https://doi.org/10.1371/journal.pcbi.1007026

Two Postdoctoral Openings in Cancer Computational Biology (June 2018)

The Chuang Lab at JAX-GM is seeking two postdoctoral scientists to join our projects in cancer genomics and evolution. These projects involve the study of tumor molecular biology and evolution through analysis of sequencing and imaging data. New team members will have unique opportunities to investigate mechanisms of cancer, to design new studies, and to develop novel artificial intelligence approaches to mine these data. For more information see:
http://chuanglabwiki.jax.org/Openings

Chuang Lab Awarded R01 for Studying Tumor Heterogeneity (June 2018)

The lab is honored to have been awarded an R01 grant from the NCI to study tumor heterogeneity and develop evolution-based cancer treatment strategies together with the labs of JAX colleagues Edison Liu, Olga Anczukow-Camarda, and Paul Robson.
https://www.jax.org/news-and-insights/2018/june/cancer-treatment-strategies

Chuang Lab Awarded U24 for Data Coordination Center for NCI PDXNet (October 2017)

Together with Seven Bridges Genomics, we have been awarded a National Cancer Institute grant to coordinate data sharing and analysis for the PDXNet. We are working with esteemed collaborators at institutes including MD Anderson, the Huntsman Institute at the University of Utah, Baylor College of Medicine, the Wistar Institute, and Washington University. For this project we will be analyzing hundreds of new and existing PDX samples toward the goal of developing a clinical trial based on patient-derived xenografts. [1]

Work on cancer evolution is published in Nature Genetics

Our project led by Dr. Javad Noorbakhsh quantifying the ability of TCGA data to reveal evolutionary dynamics has been published.
https://www.nature.com/ng/journal/v49/n9/full/ng.3876.html

Chuang Lab Profile (June 2016)

We have had the honor of being profiled for episode 1 of JAX's Supplemental Material, an informal podcast series explaining research at JAX. https://soundcloud.com/jax-supplemental-material

Also, the joint work of our lab with the Graveley lab at U. Conn has been featured in The Search.

Our work in Big Data Genomics has also been recently profiled here

Chuang Lab Awarded NCI Supplement for Cloud Computing (February 2016)

Our lab, in collaboration with Seven Bridges Genomics, has been awarded a National Cancer Institute supplementary grant to investigate tumor heterogeneity using TCGA data on the Amazon cloud. We presented this work in the NCI Cloud Pilots session at AACR in April 2016.

Big Genomic Data Skills Training for Professors (September 2015)

Prof. Reinhard Laubenbacher (JAX/UCHC), Dr. Charlie Wray (JAX), and Prof. Chuang are leading a course in summer 2016 to provide training in big data genomics to professors from smaller colleges and regional universities. A description of the course is here. The next iteration will be given in Bar Harbor, ME in summer 2017. https://www.jax.org/news-and-insights/2016/january/jax-offers-big-genomic-training-for-professors-course

Chuang Lab Awarded NIH R21 (July 1, 2015)

Our lab, in collaboration with Profs. Kyuson Yun and Craig Nelson, has been awarded a new R21 grant from the Dissection of Tumor Evolution Using Patient-Derived Xenografts!

Work on ribosomal stalling and neurodegeneration is published in Science (July 25, 2014)

Our collaboration with Prof. Sue Ackerman, with the informatics work led by Ivan Dotu, has been published in Science. http://www.sciencemag.org/content/345/6195/455.full

Chuang Lab Awarded NIH R21 (January 27, 2014)

Our lab, in collaboration with Prof. Brenton Graveley and Research Assistant Professor Dr. Ivan Dotu, has been awarded a new R21 grant from the NIH!

http://www.eurekalert.org/pub_releases/2014-01/jl-jgm012714.php