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Akhade, Ajay Suresh, and Naeha Subramanian. 2023. “Cytoplasmic Sensing in Innate Immunity.” In Encyclopedia of Cell Biology (Second Edition), edited by Ralph A. Bradshaw, Gerald W. Hart, and Philip D. Stahl, 624–43. Oxford: Academic Press. https://doi.org/10.1016/B978-0-12-821618-7.00012-2. Cite
Arrieta-Ortiz, Mario L., Min Pan, Amardeep Kaur, Evan Pepper-Tunick, Vivek Srinivas, Ananya Dash, Selva Rupa Christinal Immanuel, Aaron N. Brooks, Tyson R. Shepherd, and Nitin S. Baliga. 2023. “Disrupting the ArcA Regulatory Network Amplifies the Fitness Cost of Tetracycline Resistance in Escherichia Coli.” MSystems 8 (1): e0090422. https://doi.org/10.1128/msystems.00904-22. Cite Download
Babele, Prabhakar, Mukul K. Midha, Kanury V. S. Rao, and Ajay Kumar. 2023. “Temporal Profiling of Host Proteome against Different M. Tuberculosis Strains Reveals Delayed Epigenetic Orchestration.” Microorganisms 11 (12): 2998. https://doi.org/10.3390/microorganisms11122998. Cite
Barak, Oren, Tyler Lovelace, Samantha Piekos, Tianjiao Chu, Zhishen Cao, Elena Sadovsky, Jean-Francois Mouillet, et al. 2023. “Integrated Unbiased Multiomics Defines Disease-Independent Placental Clusters in Common Obstetrical Syndromes.” BMC Medicine 21 (1): 349. https://doi.org/10.1186/s12916-023-03054-8. Cite
Baumgartner, Andrew, Max Robinson, Sui Huang, Jennifer Hadlock, and Cory Funk. 2023. “Integration of Multiple Single Cell Microglial Datasets Reveals Radial Differentiation into Long‐lived Substates Associated with Alzheimer’s Pathology.” Alzheimer’s & Dementia 19. https://doi.org/10.1002/alz.080693. Cite
Bohmann, Nick, Tomasz Wilmanski, Lisa Levy, Johanna W. Lampe, Thomas Gurry, Noa Rappaport, Christian Diener, and Sean M. Gibbons. 2023. “Microbial Community-Scale Metabolic Modeling Predicts Personalized Short-Chain-Fatty-Acid Production Profiles in the Human Gut.” bioRxiv. https://doi.org/10.1101/2023.02.28.530516. Cite Download
Boniolo, Fabio, Markus Hoffmann, Norman Roggendorf, Bahar Tercan, Jan Baumbach, Mauro A. A. Castro, A. Gordon Robertson, Dieter Saur, and Markus List. 2023. “SpongEffects: CeRNA Modules Offer Patient-Specific Insights into the MiRNA Regulatory Landscape.” Bioinformatics (Oxford, England) 39 (5): btad276. https://doi.org/10.1093/bioinformatics/btad276. Cite Download
Bramen, Jennifer E., Prabha Siddarth, Emily S. Popa, Gavin T. Kress, Molly K. Rapozo, John F. Hodes, Aarthi S. Ganapathi, et al. 2023. “Impact of Eating a Carbohydrate-Restricted Diet on Cortical Atrophy in a Cross-Section of Amyloid Positive Patients with Alzheimer’s Disease: A Small Sample Study.” Journal of Alzheimer’s Disease: JAD. https://doi.org/10.3233/JAD-230458. Cite Download
Bredemeyer, Kevin R., LaDeana Hillier, Andrew J. Harris, Graham M. Hughes, Nicole M. Foley, Colleen Lawless, Rachel A. Carroll, et al. 2023. “Single-Haplotype Comparative Genomics Provides Insights into Lineage-Specific Structural Variation during Cat Evolution.” Nature Genetics 55 (11): 1953–63. https://doi.org/10.1038/s41588-023-01548-y. Cite
Burns, Adam R., Jack Wiedrick, Alicia Feryn, Michal Maes, Mukul K. Midha, David H. Baxter, Seamus R. Morrone, et al. 2023. “Proteomic Changes Induced by Longevity-Promoting Interventions in Mice.” GeroScience. https://doi.org/10.1007/s11357-023-00917-z. Cite
Carr, Alex, Nitin S. Baliga, Christian Diener, and Sean M. Gibbons. 2023. “Personalized Clostridioides Difficile Engraftment Risk Prediction and Probiotic Therapy Assessment in the Human Gut.” BioRxiv: The Preprint Server for Biology, 2023.04.28.538771. https://doi.org/10.1101/2023.04.28.538771. Cite Download
Chen, Daniel G., Jingyi Xie, Yapeng Su, and James R. Heath. 2023. “T Cell Receptor Sequences Are the Dominant Factor Contributing to the Phenotype of CD8+ T Cells with Specificities against Immunogenic Viral Antigens.” Cell Reports 42 (11): 113279. https://doi.org/10.1016/j.celrep.2023.113279. Cite
Cheng, Hanjun, Yin Tang, Zhonghan Li, Zhili Guo, James R. Heath, Min Xue, and Wei Wei. 2023. “Non-Mass Spectrometric Targeted Single-Cell Metabolomics.” Trends in Analytical Chemistry: TRAC 168:117300. https://doi.org/10.1016/j.trac.2023.117300. Cite
Chour, William, Jongchan Choi, Jingyi Xie, Mary E. Chaffee, Thomas M. Schmitt, Kathryn Finton, Diana C. DeLucia, et al. 2023. “Large Libraries of Single-Chain Trimer Peptide-MHCs Enable Antigen-Specific CD8+ T Cell Discovery and Analysis.” Communications Biology 6 (1): 528. https://doi.org/10.1038/s42003-023-04899-8. Cite Download
Christmas, Matthew J., Irene M. Kaplow, Diane P. Genereux, Michael X. Dong, Graham M. Hughes, Xue Li, Patrick F. Sullivan, et al. 2023. “Evolutionary Constraint and Innovation across Hundreds of Placental Mammals.” Science (New York, N.Y.) 380 (6643): eabn3943. https://doi.org/10.1126/science.abn3943. Cite Download
Cyriaque, Valentine, Rodrigo Ibarra-Chávez, Anna Kuchina, Georg Seelig, Joseph Nesme, and Jonas Madsen. 2023. “Single-Cell RNA Sequencing Suggests Plasmids Constrain Bacterial Heterogeneity and Conjugation Is Subpopulation Specific.” Preprint. In Review. https://doi.org/10.21203/rs.3.rs-3405585/v1. Cite Download
Deutsch, Eric W., Juan Antonio Vizcaíno, Andrew R. Jones, Pierre-Alain Binz, Henry Lam, Joshua Klein, Wout Bittremieux, et al. 2023. “Proteomics Standards Initiative at Twenty Years: Current Activities and Future Work.” Journal of Proteome Research 22 (2): 287–301. https://doi.org/10.1021/acs.jproteome.2c00637. Cite Download
Deutsch, Eric W., Luis Mendoza, David D. Shteynberg, Michael R. Hoopmann, Zhi Sun, Jimmy K. Eng, and Robert L. Moritz. 2023. “Trans-Proteomic Pipeline: Robust Mass Spectrometry-Based Proteomics Data Analysis Suite.” Journal of Proteome Research 22 (2): 615–24. https://doi.org/10.1021/acs.jproteome.2c00624. Cite
Diener, Christian, and Sean M. Gibbons. 2023. “More Is Different: Metabolic Modeling of Diverse Microbial Communities.” MSystems, e0127022. https://doi.org/10.1128/msystems.01270-22. Cite
Diener, Christian, and Sean M. Gibbons. 2023. “Coarse Graining the Human Gut Microbiome.” Cell Host & Microbe 31 (7): 1076–78. https://doi.org/10.1016/j.chom.2023.06.001. Cite
Doty, Raymond T., Christopher G. Lausted, Adam D. Munday, Zhantao Yang, Xiaowei Yan, Changting Meng, Qiang Tian, and Janis L. Abkowitz. 2023. “The Transcriptomic Landscape of Normal and Ineffective Erythropoiesis at Single-Cell Resolution.” Blood Advances 7 (17): 4848–68. https://doi.org/10.1182/bloodadvances.2023010382. Cite Download
Echlin, Moriah, Boris Aguilar, and Ilya Shmulevich. 2023. “Characterizing the Impact of Communication on Cellular and Collective Behavior Using a Three-Dimensional Multiscale Cellular Model.” Entropy (Basel, Switzerland) 25 (2): 319. https://doi.org/10.3390/e25020319. Cite Download
Fang, Hai, Liye Chen, Leroy Hood, and Qiang Tian. 2023. “Editorial: Translational Phenomics and Its Applications in Immunotherapy.” Frontiers in Immunology 14:1211704. https://doi.org/10.3389/fimmu.2023.1211704. Cite Download
Fecho, Karamarie, Chris Bizon, Tursynay Issabekova, Sierra Moxon, Anne E. Thessen, Shervin Abdollahi, Sergio E. Baranzini, et al. 2023. “An Approach for Collaborative Development of a Federated Biomedical Knowledge Graph-Based Question-Answering System: Question-of-the-Month Challenges.” Journal of Clinical and Translational Science 7 (1): e214. https://doi.org/10.1017/cts.2023.619. Cite Download
Fedorov, Andrey, William J. R. Longabaugh, David Pot, David A. Clunie, Steven D. Pieper, David L. Gibbs, Christopher Bridge, et al. 2023. “National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence.” Radiographics: A Review Publication of the Radiological Society of North America, Inc 43 (12): e230180. https://doi.org/10.1148/rg.230180. Cite
Finton, Kathryn A. K., Peter B. Rupert, Della J. Friend, Ana Dinca, Erica S. Lovelace, Matthew Buerger, Domnita V. Rusnac, et al. 2023. “Effects of HLA Single Chain Trimer Design on Peptide Presentation and Stability.” Frontiers in Immunology 14:1170462. https://doi.org/10.3389/fimmu.2023.1170462. Cite Download
Flower, Cameron T., Chunmei Liu, James R. Heath, Wei Wei, and Forest M. White. 2023. “Abstract 4876: A Systems Pharmacology Approach to Discover Synergistic Targeted Therapy Combinations.” Cancer Research 83 (7_Supplement): 4876. https://doi.org/10.1158/1538-7445.AM2023-4876. Cite
Foy, Susan, Cliff Wang, Benjamin Yuen, Sara Said, Boi Quach, Jonathan Hoover, Saparya Nayak, et al. 2023. “Abstract 901: Monitoring of Neoantigens and Adoptively Transferred Personalized NeoTCR T Cell Populations in the Tumor and PBMCs of Patients with Solid Tumors.” Cancer Research 83 (7_Supplement): 901. https://doi.org/10.1158/1538-7445.AM2023-901. Cite
Gibbs, David L., Michael K. Strasser, and Sui Huang. 2023. “Single-Cell Gene Set Scoring with Nearest Neighbor Graph Smoothed Data (Gssnng).” Bioinformatics Advances 3 (1): vbad150. https://doi.org/10.1093/bioadv/vbad150. Cite Download
Girdhar, Kiran, Jaroslav Bendl, Andrew Baumgartner, Karen Therrien, Sanan Venkatesh, Deepika Mathur, Pengfei Dong, et al. 2023. “The Neuronal Chromatin Landscape in Adult Schizophrenia Brains Is Linked to Early Fetal Development.” Research Square, rs.3.rs-3393581. https://doi.org/10.21203/rs.3.rs-3393581/v1. Cite Download
Glen, Amy K., Chunyu Ma, Luis Mendoza, Finn Womack, E. C. Wood, Meghamala Sinha, Liliana Acevedo, et al. 2023. “ARAX: A Graph-Based Modular Reasoning Tool for Translational Biomedicine.” Bioinformatics (Oxford, England) 39 (3): btad082. https://doi.org/10.1093/bioinformatics/btad082. Cite Download
Gorman, Chris, Davide Punzo, Igor Octaviano, Steven Pieper, William J. R. Longabaugh, David A. Clunie, Ron Kikinis, Andrey Y. Fedorov, and Markus D. Herrmann. 2023. “Interoperable Slide Microscopy Viewer and Annotation Tool for Imaging Data Science and Computational Pathology.” Nature Communications 14 (1): 1572. https://doi.org/10.1038/s41467-023-37224-2. Cite Download
Halder, Ankit, Deeptarup Biswas, Aparna Chauhan, Adrita Saha, Shreeman Auromahima, Deeksha Yadav, Mehar Un Nissa, et al. 2023. “A Large-Scale Targeted Proteomics of Serum and Tissue Shows the Utility of Classifying High Grade and Low Grade Meningioma Tumors.” Clinical Proteomics 20 (1): 41. https://doi.org/10.1186/s12014-023-09426-9. Cite Download
Happel, Anna-Ursula, Lerato Rametse, Brandon Perumaul, Christian Diener, Sean M. Gibbons, Donald D. Nyangahu, Kirsten A. Donald, Clive Gray, and Heather B. Jaspan. 2023. “Bifidobacterium Infantis Supplementation versus Placebo in Early Life to Improve Immunity in Infants Exposed to HIV: A Protocol for a Randomized Trial.” BMC Complementary Medicine and Therapies 23 (1): 367. https://doi.org/10.1186/s12906-023-04208-0. Cite Download
Heilig, Roland, Ralph Eckenberg, Jean-Louis Petit, Núria Fonknechten, Corinne Da Silva, Laurence Cattolico, Michaël Levy, et al. 2023. “Publisher Correction: The DNA Sequence and Analysis of Human Chromosome 14.” Nature. https://doi.org/10.1038/s41586-023-06403-y. Cite
Hillstedt, Ebba, Rebecka Rubsenson Wahlin, Markus Castegren, Gabriel Sandblom, and Alice Kane. 2023. “SCOPING REVIEW OF CLINICAL STUDIES EXPLORING THE ASSOCIATION BETWEEN EPIGENETIC AGE AND FRAILTY.” Innovation in Aging 7 (Suppl 1): 1115–16. https://doi.org/10.1093/geroni/igad104.3582. Cite Download
Hochberg, Jessica T., Aalam Sohal, Priya Handa, Bryan D. Maliken, Take-Kyun Kim, Kai Wang, Eric Gochanour, et al. 2023. “Serum MiRNA Profiles Are Altered in Patients with Primary Sclerosing Cholangitis Receiving High-Dose Ursodeoxycholic Acid.” JHEP Reports: Innovation in Hepatology 5 (6): 100729. https://doi.org/10.1016/j.jhepr.2023.100729. Cite Download
Hood, Leroy, and Scott Penberthy. 2023. “‘We’re Doing It Wrong!’ Phenomics and Hyperscale AI for Health Care.” AI in Precision Oncology, 6–7. https://doi.org/10.1089/aipo.2023.29001.lho. Cite Download
Hoopmann, Michael R., David D. Shteynberg, Alex Zelter, Michael Riffle, Andrew S. Lyon, David A. Agard, Qing Luan, et al. 2023. “Improved Analysis of Cross-Linking Mass Spectrometry Data with Kojak 2.0, Advanced by Integration into the Trans-Proteomic Pipeline.” Journal of Proteome Research. https://doi.org/10.1021/acs.jproteome.2c00670. Cite
Horwitz, Leora I., Tanayott Thaweethai, Shari B. Brosnahan, Mine S. Cicek, Megan L. Fitzgerald, Jason D. Goldman, Rachel Hess, et al. 2023. “Researching COVID to Enhance Recovery (RECOVER) Adult Study Protocol: Rationale, Objectives, and Design.” PloS One 18 (6): e0286297. https://doi.org/10.1371/journal.pone.0286297. Cite Download
Huang, Yu Ling, Lindsay K. Dickerson, Heidi Kenerson, Xiuyun Jiang, Venu Pillarisetty, Qiang Tian, Leroy Hood, Taranjit S. Gujral, and Raymond S. Yeung. 2023. “Organotypic Models for Functional Drug Testing of Human Cancers.” BME Frontiers 4:0022. https://doi.org/10.34133/bmef.0022. Cite Download
Hughes, Laura D., Ginger Tsueng, Jack DiGiovanna, Thomas D. Horvath, Luke V. Rasmussen, Tor C. Savidge, Thomas Stoeger, et al. 2023. “Addressing Barriers in FAIR Data Practices for Biomedical Data.” Scientific Data 10 (1): 98. https://doi.org/10.1038/s41597-023-01969-8. Cite Download
Hwang, Yeon Mi, Ryan T. Roper, Samantha N. Piekos, Daniel A. Enquobahrie, Mary F. Hebert, Alison G. Paquette, Priyanka Baloni, Nathan D. Price, Leroy Hood, and Jennifer J. Hadlock. 2023. “Timing of Selective Serotonin Reuptake Inhibitor Use and Risk for Preterm Birth and Related Adverse Events.” medRxiv. https://doi.org/10.1101/2023.03.03.23286717. Cite Download
Hwang, Yeon Mi, Qi Wei, Samantha N. Piekos, Bhargav Vemuri, Sevda Molani, Philip Mease, Leroy Hood, and Jennifer J. Hadlock. 2023. “Maternal-Fetal Outcomes in Patients with Immune Mediated Inflammatory Diseases, with Consideration of Comorbidities: A Retrospective Cohort Study in a Large U.S. Healthcare System.” MedRxiv: The Preprint Server for Health Sciences, 2023.08.07.23293726. https://doi.org/10.1101/2023.08.07.23293726. Cite Download
Hwang, Yeon-Mi, Samantha Piekos, Tanya Sorensen, Leroy Hood, and Jennifer Hadlock. 2023. “Adoption of a National Prophylactic Anticoagulation Guideline for Hospitalized Pregnant Women With COVID-19: Retrospective Cohort Study.” JMIR Public Health and Surveillance 9:e45586. https://doi.org/10.2196/45586. Cite
Im, Jinwoo, Dipankar Dwivedi, Andrew Putt, Kathleen F. Walker, James Marquis, Lauren M. Lui, Alex Carr, et al. 2023. “Reactive Transport Modeling of N Cycling for Prediction of N2O Emitted from the Subsurface Observatory at Area 3 under Rainfall Events.” In . AGU. https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1443082. Cite
Jagtap, Pratik D., Michael R. Hoopmann, Benjamin A. Neely, Antony Harvey, Lukas Käll, Yasset Perez-Riverol, Milky K. Abajorga, Julie A. Thomas, Susan T. Weintraub, and Magnus Palmblad. 2023. “The Association of Biomolecular Resource Facilities Proteome Informatics Research Group Study on Metaproteomics (IPRG-2020).” Journal of Biomolecular Techniques: JBT 34 (3): 3fc1f5fe.a058bad4. https://doi.org/10.7171/3fc1f5fe.a058bad4. Cite Download
Jennison, Charlie, Janna M. Armstrong, Dorender A. Dankwa, Nina Hertoghs, Sudhir Kumar, Biley A. Abatiyow, Myo Naung, et al. 2023. “Plasmodium GPI-Anchored Micronemal Antigen Is Essential for Parasite Transmission through the Mosquito Host.” Molecular Microbiology. https://doi.org/10.1111/mmi.15078. Cite Download