Genetic Phenomena Commons^™

Non-Synaptic Function And Localization Of Syntaxin-Binding Protein 1 In A Mouse Model Of Stxbp1-Related Epileptic Encephalopathy, Tao Yang, Rajat Banerjee, Yamei Deng, Sheetal Jahagirdar, Joo Hyun Kim, Wu Chen, Mingshan Xue, Alexey I Nesvizhskii, Michael D Uhler, Jack M Parent, Yu Wang

Duncan NRI Faculty and Staff Publications

Objective: De novo mutations in the syntaxin-binding protein 1 (STXBP1), encoded by STXBP1, are among the most prevalent causes of variable neurodevelopmental disorders, including epileptic encephalopathy, developmental delay, and movement disorders. Although STXBP1 has been proposed as a critical presynaptic protein controlling synaptic vesicle exocytosis, clinical phenotypes also suggest that its biological function could be more diverse.

Methods: The expression pattern of STXBP1 was studied using immunostaining in vitro and in vivo. Synaptosome isolation was performed to investigate the synaptic and non-synaptic localization of STXBP1 in the brain. STXBP1 immunoprecipitation followed by mass spectrometry (MS) was conducted to identify protein …

Pharmacokinetic Modeling Strategies For Dynamic Hyperpolarized Urea Imaging, Keith A Michel, Collin J Harlan, Christopher M Walker, Matthew E Merritt, Yunyun Chen, Stephen Y Lai, James A Bankson

Faculty, Staff and Student Publications

Purpose: To evaluate pharmacokinetic modeling methods for quantification of tissue perfusion/permeability with hyperpolarized 13C urea.

Methods: Three models for quantitative analysis of dynamic HP urea imaging data were proposed and evaluated in numerical simulations and a thyroid cancer mouse model. A multicompartment model resembling the extended Tofts model for DCE-MRI (Model I) and two simplified models were used. The simplified models each eliminate a volume parameter representing vascular (Model II) or impermeable cellular space (Model III). Signal curves were generated from Model I, and models were fit to these synthetic data to quantify the effects of acquisition settings, bias in …

Alpha 7 Nicotinic Acetylcholine Receptor Contributes To Long-Term Cognitive Recovery Following Ischemic Stroke, Dustin T Nguyen, Kate Mendoza, Cassandra Hall, Chunfeng Tan, Anjali Chauhan

Faculty, Staff and Student Publications

Stroke is associated with autonomic dysfunction and reduced acetylcholine (ACh), a neurotransmitter critical for cognition. ACh signals in part through the alpha-7 nicotinic acetylcholine receptor (α7nAChR), a ligand-gated ion channel involved in synaptic plasticity, learning, and memory. Impaired α7nAChR signaling has been linked to heightened neuroinflammation and poor acute stroke recovery. Here, we investigated whether α7nAChR contributes to post-stroke cognitive recovery in young male mice. Wild-type (WT) and α7nAChR knockout (α7n0KO) mice underwent 60-min middle cerebral artery occlusion (MCAO). In a pharmacology cohort, the α7nAChR agonist GTS-21 was administered immediately after reperfusion and then daily for 20 days. Cognitive performance …

Analysis Of Patients With Monocytic And Monocytic-Like Acute Myeloid Leukemia, Including Aml-M4 And Aml-M5, Treated With Venetoclax Plus Azacitidine, Marina Konopleva, Courtney D Dinardo, Yan Sun, Paul Jung, Sanam Loghavi, Jalaja Potluri, Monique Dail, Brenda Chyla, Daniel A Pollyea

Faculty, Staff and Student Publications

No abstract provided.

Impact Of Mutational Landscape And Burden On Rbc Transfusion Response In Patients With Lower-Risk Myelodysplastic Syndromes (Lr-Mds) In The Commands Study, Rami S Komrokji, Sheida Hayati, Manuel Ugidos, Guillermo Garcia-Manero, Matteo Giovanni Della Porta, Amer M Zeidan, Valeria Santini, Uwe Platzbecker, Anita K Gandhi, Rajasekhar N V S Suragani

Faculty, Staff and Student Publications

The COMMANDS trial established luspatercept as a first‐line treatment for anemia in transfusion‐dependent lower‐risk (LR) myelodysplastic syndromes (MDS). Here we report red blood cell (RBC) transfusion response analysis based on somatic mutations profile and disease risk for patients treated with luspatercept or epoetin alfa in the COMMANDS trial. Of 350 evaluable patients, 238 (68.0%) had MDS with multiple lineage dysplasia and ring sideroblasts (RS) according to World Health Organization 2016 criteria, and 320 (91.4%) had somatic mutations in ≥ 1 gene (median, 2) with median variant allele frequencies (VAF) of 2%–59%. Mutation profiles were similar in the treatment groups. Luspatercept …

Clemastine Ameliorates Cognitive Deficits In An Experimental Rat Model Of Chronic Cerebral Hypoperfusion, Xuemei Zong, Zhihai Huang, Fanfei Kong, Yu Feng, Yulan Zhang, Peibin Zou, Hung Wen Lin, David C Hess, Quanguang Zhang

Faculty, Staff and Student Publications

Chronic cerebral hypoperfusion (CCH) profoundly affects patient well-being and has been proposed as a risk factor for cognitive impairment and dementia. However, due to the limited understanding of the pathophysiology of CCH, there are currently no effective preventive or therapeutic approaches for CCH-associated cognitive impairment. Therefore, identifying new targets for CCH is essential to bridge this knowledge gap. In this study, we sought to determine whether enhanced myelination could prevent cognitive impairment associated with CCH. Experimental CCH was induced via bilateral common carotid artery occlusion (BCCAO) in rats, and clemastine, a well-established pro-myelinating agent, was administered to boost myelin renewal. …

Beyond Short Microhomologies: Mismatch-Compatible Pol Θ-Mediated Dna Damage Repair, Yuzhen Li, Richard D Wood

Faculty, Staff and Student Publications

DNA polymerase θ (Pol θ)-mediated end-joining (TMEJ), one of several pathways for repairing DNA double-strand breaks, is traditionally thought to initiate via anchoring at short, consecutive, and perfectly matched microhomologies (MHs). Emerging evidence indicates that Pol θ can utilize MHs containing mismatches both in vitro and in vivo. This revised definition of MH provides a mechanistic explanation for a broader spectrum of Pol θ-dependent repair outcomes. Here, we summarize recent findings on the revised definition of MHs utilized by Pol θ, assess the applicability of this concept across species, and compare TMEJ with other (micro)hom(e)ology-mediated repair pathways. We explore how …

Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao-Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with …

Clinicopathologic And Molecular Characteristics Of High-Grade Appendiceal Mucinous Neoplasms, Ashlee N Seldomridge, Michael G White, Christopher Scally, Richard E Royal, Mark Routbort, Jbryan Iorgulescu, Michael J Overman, Sun Mi Lee, Wai Chin Foo, Melissa W Taggart, Yun Song, Paul F Mansfield, Keith F Fournier, John Paul Shen, Beth A Helmink

Faculty, Staff and Student Publications

Background: Although 2016 consensus guidelines defined high-grade appendiceal mucinous neoplasms (HAMNs) as a distinct histologic entity, their clinical course and optimal management remain poorly characterized. Comparative data with low-grade appendiceal mucinous neoplasms (LAMNs) are limited. This study aims to detail the clinical management and outcomes of patients with HAMN and those with LAMN.

Methods: This retrospective cohort study was conducted at a large academic cancer center. An internal database was queried to identify patients with LAMN or HAMN who underwent appendectomy between 2016 and 2024. Kaplan-Meier survival analyses were used to assess the impact of primary tumor type and peritoneal …

Shiny-Magec: A Bayesian R Shiny Application For Meta-Analysis Of Censored Adverse Events, Zihan Zhou, Zizhong Tian, Christine Peterson, Le Bao, Shouhao Zhou

Faculty, Staff and Student Publications

Accurate assessment of adverse event (AE) incidence is critical in clinical research for drug safety. While meta-analysis serves as an essential tool to comprehensively synthesize the evidence across multiple studies, incomplete AE reporting in clinical trials remains a persistent challenge. In particular, AEs occurring below study-specific reporting thresholds are often omitted from publications, leading to left-censored data. Failure to account for these censored AE counts can result in biased AE incidence estimates. We present an R Shiny application that implements a Bayesian meta-analysis model specifically designed to incorporate censored AE data into the estimation process. This interactive tool provides a …

Classification Of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, And Thickness With A Deep And A Shallow Learning Model, Roberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R K Ching, Andre Aleman, Alyssa R Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G Davey, Annemiek Dols, Jan Ernsting, Jennifer W Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H Gotlib, Hans J Grabe, Nynke A Groenewold, Dominik Grotegerd, Tim Hahn, J Paul Hamilton, Laura K M Han, Ben J Harrison, Tiffany C Ho, Neda Jahanshad, Alec J Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Ramona Leenings, Meng Li, David E J Linden, Frank P Macmaster, David M A Mehler, Susanne Meinert, Elisa Melloni, Bryon A Mueller, Benson Mwangi, Igor Nenadić, Amar Ojha, Yasumasa Okamoto, Mardien L Oudega, Brenda W J H Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J Portella, Joaquim Radua, Elena Rodríguez-Cano, Matthew D Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C Soares, Aleix Solanes, Dan J Stein, Frederike Stein, Aleks Stolicyn, Sophia I Thomopoulos, Yara J Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C Whalley, Sarah Whittle, Nils Winter, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Tony T Yang, Carlos Zarate, Dick J Veltman, Lianne Schmaal, Paul M Thompson, Enigma Major Depressive Disorder Working Group

Faculty, Staff and Student Publications

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due to the heterogeneity of this disorder. The application of deep learning tools to neuroimaging data, capable of capturing complex non-linear patterns, has the potential to provide diagnostic and predictive biomarkers for MDD. However, previous attempts to demarcate MDD patients and healthy controls (HC) based on segmented cortical features via linear machine learning approaches have reported low accuracies. In this study, we used …

Impact Of Intra- And Interfractional Motion On The Dose Distribution And Urinary Adverse Events For Magnetic Resonance-Guided Prostate Cancer Radiotherapy, Shu Xing, Sarah Burleson, Xiao Tan, Qijie Huang, Nima Hassan-Razein, Chengcheng Gui, Ergys Subashi, Himanshu Nagar, Victoria Brennan, Neelam Tyagi

Faculty, Staff and Student Publications

Purpose: To evaluate the impact of intra- and interfractional motion on dose distribution and clinical outcome in prostate magnetic resonance (MR)-guided adaptive radiotherapy.

Methods: Seventy-six patients were treated with five-fraction stereotactic radiotherapy on a 1.5 T MR linear accelerator. Cine MR images were acquired during treatment and exported to a motion monitoring research package, to generate motion traces in the anterior-posterior (AP), superior-inferior (SI) and left-right (LR) directions. Planned dose distributions were shifted according to motion trace to reconstruct intrafraction motion-blurred dose. Intrafraction motion-blurred doses were deformably registered to fraction one motion-blurred dose to obtain interfraction accumulated dose. The impact …

Frontotemporal Network Interactions Causally Support Rapid Concreteness Judgments During Reading, Elliot Murphy, Oscar Woolnough, Cale W Morse, Xavier Scherschligt, Nitin Tandon

Faculty, Staff and Student Publications

Neurobiological models of conceptual processing have been limited in spatiotemporal resolution, and uncertainty remains about the causal role of specific regions in concept representation. We utilized intracranial recordings in human neurosurgical patients with epilepsy (n = 19) during a concreteness judgement paradigm of single word reading. Concrete concepts showed greater high-frequency activation across a frontal and ventrotemporal network, while greater activation for abstract words was found in lateral posterior middle temporal cortex. Intercortical communications, measured by high-frequency partial direct coherence, revealed bidirectional frontal and ventral plus lateral temporal interactions. Words occupying the middle range of the concreteness scale (e.g., "profit") …

Trends And Challenges: A 15-Year Review Of Imaging And Radiation Oncology Core Anthropomorphic Phantom Audits For Proton Therapy, Lian Duan, Hunter S Mehrens, Stephen F Kry, Jessica R L Lowenstein, Nadia Hernandez, Lucas B Acuna Scafati, Paige A Taylor

Faculty, Staff and Student Publications

Purpose: This study aims to analyze the trends in institutional performance on Imaging and Radiation Oncology Core (IROC) proton phantoms and to investigate the impact of treatment parameters on proton therapy delivery accuracy.

Materials and methods: We analyzed 402 IROC anthropomorphic phantom audits performed by 57 institutions worldwide between 2009 and 2024, including brain, head and neck (H&N), spine, prostate, lung, and liver phantoms. Dosimetric assessments included thermoluminescent dosimeters (TLDs) for dose comparison and gamma analysis of radiochromic film. The lung and liver phantoms were irradiated with simulated motion. Univariate analysis was performed to evaluate the relationships between treatment parameters …

Selective Deletion Of Fgfr1 In Agrp Neurons Impairs Energy Homeostasis Under High-Fat Diet In Mice, Daniel Shookster, Shea O'Connell, Patel Darshan, Taylor Landry, Wyatt Bunner, Zhiying Jiang, Qingchun Tong, Hu Huang

Faculty, Staff and Student Publications

Background: The global obesity crisis and the limited success of current treatments underscore the need to identify novel regulatory pathways. While central administration of α-Klotho exerts anti-obesity effects in rodents through AgRP neurons, the intracellular signaling mechanisms that mediate this process remain undefined.

Methods: To define the role of FGFR1 within the α-Klotho signaling pathway in AgRP neurons, we performed a targeted deletion of the receptor in adult mice using an AAV-mediated CRISPR/Cas9 system alongside transgenic models.

Results: Deletion of FGFR1 in AgRP neurons disrupted energy homeostasis, promoting weight gain induced by a high-fat diet. Electrophysiological recordings revealed that FGFR1 …

Quantifying Rate-Limiting Genetic Variation In Breast And Ovarian Tumourigenesis, Kathleen E Houlahan, Mahad Bihie, Yves Greatti, Julián Grandvallet Contreras, Daniel J Fulop, Gonzalo Lopez, Marc Williams, Hsin-Hsiung Huang, Peter Van Loo, Paul C Boutros, Kuan-Lin Huang

Faculty, Staff and Student Publications

Background: The number and type of genetic alterations required to initiate breast and ovarian cancer remain unclear. While germline BRCA1/2 carriers show markedly elevated cancer risk, it is uncertain whether point mutations or copy number alterations constitute the rate-limiting events of tumourigenesis.

Methods: We developed a statistical framework extending prior incidence-mutation models to estimate the minimal number and type of driver events required for cancer initiation. Somatic mutation and copy-number data from >3000 breast and ovarian cancers in TCGA and METABRIC were compared between germline BRCA1/2 carriers and non-carriers matched on subtypes. Results were validated through analyses of evolutionary timing …

Cd44v9 As A Therapeutic Target For Antibody-Drug Conjugate In Advanced Breast Cancer, Dileep R Reddy, Mckenna E Flynn, Yasuaki Anami, Zhaoxuan Yang, Jayden Aleman, Minji Seo, Kyoji Tsuchikama, Jennifer A Maynard, Naoto T Ueno, Jangsoon Lee

Faculty, Staff and Student Publications

Antibody-drug conjugates (ADCs) have revolutionized breast cancer therapy. HER2 is the only validated biomarker guiding ADC therapy in breast cancer. However, their clinical benefit remains confined to HER2- and TROP2-targeted therapies. Tumor heterogeneity and acquired resistance often limit durable responses, underscoring the need for novel, tumor-specific ADC targets. CD44 variant isoform 9 (CD44v9), a splice variant of the CD44 family, is largely absent in normal tissues but enriched in aggressive breast cancers, where it contributes to stemness, redox regulation, and therapy resistance. In this study, we developed a chimeric monoclonal antibody against CD44v9 (clone SUM24.1, IgG1) and conjugated it to …

Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

Faculty, Staff and Student Publications

With the rapid advancements in large language model technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide-ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and …

Tuscan: Tumor Segmentation And Classification Analysis In Spatial Transcriptomics, Chenxuan Zang, Charles C Guo, Yaohong Wang, Peng Wei, Ziyi Li

Faculty, Staff and Student Publications

The identification of tumor cells is pivotal for understanding tumor heterogeneity and the tumor microenvironment. Recent advances in spatially resolved transcriptomics (SRT) have revolutionized the way that transcriptomic profiles are characterized and have enabled the simultaneous quantification of transcript locations in intact tissue samples. SRT is a promising alternative method to study gene expression patterns in spatial domains. Nevertheless, the precise detection of tumor regions within intact tissue remains a great challenge. A common strategy for identifying tumor cells is via tumor-specific marker gene expression signatures, which are highly dependent on marker accuracy. Another effective approach is through aneuploid copy …

Defining A Quantitative Threshold For Adaptive Re-Planning Using A Percentile-Based Scoring System, Alexandra O Leone, Christine B Peterson, Anna Lee, Adam S Garden, G Brandon Gunn, Lauren L Mayo, Amy C Moreno, Steven J Frank, C David Fuller, Jay P Reddy, Karen Hoffman, Ivan Vazquez, Ming Yang, Joshua S Niedzielski, Laurence E Court, Thomas J Whitaker

Faculty, Staff and Student Publications

Background: Despite the frequent need for adaptive planning in head and neck proton therapy, no quantitative indicators have been identified to determine when a plan should be adapted. Here, we aimed to determine a quantitative threshold for the change in plan quality between the primary treatment plan and verification plans that correlates with the physician's decision to adapt.

Methods: Primary treatment and verification plans were extracted from the clinical treatment planning system for 167 patients who underwent intensity-modulated proton therapy for base of tongue, tonsillar, or oropharyngeal cancers, with and without nodal involvement, between 2016 and 2021. All plans were …