This study uses mass spectrometry to identify caspase targets in primary intestinal epithelial cells following NAIP-NLRC4 inflammasome activation, revealing novel cleavage sites beyond known Caspase-1 substrates.

bioRxiv · Apr 22, 2026 · PreprintImmunology

Multi-omic identification of key transcriptional regulatory programs during endurance exercise training in rats

Gregory R. Smith, Bingqing Zhao, Maléne E. Lindholm, Archana Natarajan Raja, Mark R. Viggars, Hanna Pinças, Nicole R. Gay, Yifei Sun, Sindhu Vangeti, Yongchao Ge, Venugopalan D. Nair, James A. Sanford, Mary Anne S. Amper, Mital Vasoya, Kevin S. Smith, , Ian R. Lanza

The paper identifies tissue-specific transcriptional regulatory programs in rats undergoing endurance exercise training by integrating chromatin accessibility, DNA methylation, and gene expression data.

Nature Communications · Mar 21, 2026Peer-reviewedGenomics

Multi-omics integration of malignant peripheral nerve sheath tumors identifies potential targets based on chromosome 8q status

Belinda B. Garana, Jiawan JC Wang, Simge Acar, Gorkem Oztosun, Stavriani C. Makri, Dana C. Borcherding, Ying S. Zou, Chelsea M. Hutchinson-Bunch, Marina A. Gritsenko, Paul Piehowski, Christine A. Pratilas, Angela C. Hirbe, Sara J.C. Gosline

This study integrates multi-omics data from MPNSTs to identify drug targets based on chromosome 8q status, suggesting PLK1 and EGFR inhibitors could be effective in different subtypes.

bioRxiv · Jan 27, 2026 · PreprintCancer Biology

PU.1 inhibition sensitizes stem-monocytic AML to BCL2 blockade

William M. Yashar, Itallia V. Pacentine, Akram Taherinasab, Thai Nguyen, Samantha J. Worme, Mitsuhiro Tsuchiya, Theresa A. Lusardi, Chelsea Hutchinson, Thomas Fillmore, Camilo Posso, Sara J.C. Gosline, Paul Piehowski, Galip Gürkan Yardımcı, Andrew Adey, Julia E. Maxson, Theodore P. Braun

This study identifies stem-monocytic AML as a distinct subtype resistant to venetoclax and shows that PU.1 inhibition synergizes with BCL2 blockade to enhance therapeutic response.

bioRxiv · Jan 23, 2026 · PreprintCancer Biology

A Phosphoproteomics Data Resource for Systems-level Modeling of Kinase Signaling Networks

Song Feng, James A. Sanford, Thomas J. Weber, Chelsea M. Hutchinson-Bunch, Panshak Dakup, Vanessa Paurus, Kwame Attah, Herbert M. Sauro, Weijun Qian, H. Steven Wiley

The paper generates a deep phosphoproteomics dataset of the EGFR-MAPK pathway in MCF10A cells and integrates it with protein databases to study kinase signaling.

bioRxiv · Aug 3, 2023 · PreprintSystems Biology

Temporal dynamics of the multi-omic response to endurance exercise training across tissues

MoTrPAC Study Group, David Amar, Nicole R. Gay, Pierre M. Jean Beltran, Joshua Adkins, José Juan Almagro Armenteros, Euan Angus Ashley, Julián Ávila-Pacheco, Dam Bae, Nasim Bararpour, Charles Burant, Clary B. Clish, Gary Cutter, Surendra Dasari, Courtney Dennis, , Bailey E. Jackson

This study profiles multi-omic changes in multiple tissues of rats during endurance exercise training, identifying molecular adaptations and sex-specific responses across time.

bioRxiv · Sep 21, 2022 · PreprintMolecular Biology

Utilizing proteomics and phosphoproteomics to predict ex vivo drug sensitivity across genetically diverse AML patients

Sara J.C. Gosline, Cristina E. Tognon, Michael D. Nestor, Sunil Kumar Joshi, Rucha V. Modak, Alisa Damnernsawad, Jamie Moon, Joshua Hansen, Chelsea M. Hutchinson-Bunch, Marina A. Gritsenko, Karl Weitz, Elie A. Traer, Brian J Drucker, Anupriya Agarwal, Paul Piehowski, , Karin Rodland

The paper predicts ex vivo drug sensitivity in AML patients using proteomic and phosphoproteomic signatures, showing better accuracy than mutation or mRNA-based signatures.

bioRxiv · Jun 4, 2021 · PreprintBioinformatics