Digital Commons Network^™

Igtp: Learning Interpretable Cellular Embedding For Inferring Biological Mechanisms Underlying Single-Cell Transcriptomics, Xiaoyang Li, Nuo Hu, Isha Kawosa, Patrick G Pilié, Pratip K Bhattacharya, Degui Zhi, Xiaoqian Jiang, Zhongming Zhao, Yulin Dai

Faculty, Staff and Student Publications

Deep-learning models like Variational AutoEncoder have enabled low dimensional cellular embedding representation for large-scale single-cell transcriptomes and shown great flexibility in downstream tasks. However, biologically meaningful latent space is usually missing if no specific structure is designed. Here, we engineered a novel interpretable generative transcriptional program (iGTP) framework that could model the importance of transcriptional program (TP) space and protein-protein interactions (PPI) between different biological states. We demonstrated the performance of iGTP in a diverse biological context using gene ontology, canonical pathway, and different PPI curation. iGTP not only elucidated the ground truth of cellular responses but also surpassed other …

Kinasefusiondb: An Integrative Knowledge Of Kinase Fusion Proteins In Multi-Scales, Leonardo Aguilar, Pora Kim

Faculty, Staff and Student Publications

Kinase fusion genes were the most targeted fusion gene group among multiple major cellular gene groups. Kinase inhibitors disrupt aberrant signaling cascades and inhibit tumor progression, yet the specific mechanisms of action of the U.S. Food and Drug Administration (FDA)-approved inhibitors in the context of kinase fusion oncoproteins remain largely unknown. This gap limits our ability to develop personalized therapies and next-generation kinase inhibitors. To address this, we developed a novel in silico pipeline for predicting 3D structures of kinase fusion proteins and performing structure-based virtual screening. This approach enables large-scale structural annotation and drug screening across pan-cancer kinase fusions. …

New Performance Measurement Framework For Realizing Patient-Centered Clinical Decision Support: Qualitative Development Study, Edwin Lomotan, Dean F Sittig

Faculty, Staff and Student Publications

Background: Patient-centered clinical decision support (PC CDS) exists on a continuum that reflects the degree to which its knowledge base, data, delivery, and use focus on patient needs and experiences. A new focus on value-based, whole-person care has resulted in broader development of PC CDS technologies, yet there is limited information on how to measure their performance and effectiveness. To address these gaps, there is a need for more measurement guidance to assess PC CDS interventions.

Objective: This paper presents a new framework that incorporates patient-centered principles into traditional health IT and clinical decision support (CDS) evaluation frameworks to create …

#Genderaffirminghormonetherapy And Health Information On Tiktok: Thematic Content Analysis, Julia Beatini, Nora Yanyi Sun, Julianna K. Coleman, Maetal E. Haas-Kogan, Andrea Pelletier, Deborah Bartz, Alex Sogomon Keuroghlian

Student Papers, Posters & Projects

BACKGROUND: Transgender and gender diverse people often turn to online platforms for information and support regarding gender-affirming hormone therapy (GAHT); however, analysis of this social media content remains scarce.

OBJECTIVE: We characterized GAHT-related videos on TikTok to highlight the implications relevant to GAHT prescribers.

METHODS: We used a web scraper to identify TikTok videos posted under the hashtags #genderaffirminghormonetherapy and #genderaffirminghormones as of November 2023. We identified recurrent themes via qualitative content analysis and assessed health education videos with the Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-A/V) scale and a modified Currency, Relevance, Authority, Accuracy, and Purpose (CRAAP) …

Effect Of A Digital Health Exercise Program On The Intention For Spinal Surgery In Adult Spinal Deformity: Exploratory Cross-Sectional Survey, Marsalis Christian Brown, Christopher Quincy Lin, Christopher Jin, Matthew Rohde, Brett Rocos, Jonathan Belding, Barrett I. Woods, Stacey J. Ackerman

Rothman Institute Papers

BACKGROUND: Adult spinal deformity (ASD) is a prevalent condition estimated at 38%. Symptomatic ASD is associated with substantial health care costs. The role of nonoperative interventions in the management of ASD remains elusive. The National Scoliosis Clinic's (NSC) scoliosis realignment therapy (SRT) is a personalized digital health exercise program for the nonoperative management of ASD.

OBJECTIVE: This exploratory study had two objectives: (1) to evaluate the effect of the SRT program on users' intention of having spinal fusion; and (2) from a US payer perspective, to estimate the annual cost savings per 100,000 beneficiaries by averting spinal surgery.

METHODS: Individuals …

An Intranasally Administered Igm Protects Against Antigenically Distinct Subtypes Of Influenza A Viruses, Hailong Guo, William R Strohl, Yan Xu, Haijuan Du, Tongqing Zhou, Ningyan Zhang, Kai Xu, Xinli Liu, Tong-Ming Fu, Zhiqiang An

Faculty, Staff and Student Publications

Engineering broadly neutralizing monoclonal antibodies (mAbs) targeting the hemagglutinin (HA) of Influenza A virus (IAV) is a promising approach for intervention of seasonal flu. However, HA plasticity often leads to resistant strains that compromise mAb potency as bivalent IgGs. Here we hypothesize that multimerization of anti-IAV antibodies as IgMs can enhance coverage and neutralization potency. Here, we construct 18 IgM antibodies from known broadly neutralizing IgGs targeting different IAV HA epitopes and evaluate their breadth and potency of neutralization against distinct H1N1 and H3N2 IAVs. The IgM version of receptor binding site-specific IgG F045-092 shows increased breadth and antiviral potency …

The Potential Of Brain Organoids In Addressing The Heterogeneity Of Synucleinopathies, Yun-Cheng Wu

Faculty, Staff and Student Publications

Synucleinopathies are a group of diseases characterized by neuronal and glial accumulation of α-synuclein (aSyn) linked with different clinical presentations, including Parkinson's disease (PD), Parkinson's disease with dementia (PDD), Dementia with Lewy Bodies (DLB) and Multiple system atrophy (MSA). Interestingly, the structure of the aSyn aggregates can vary across different synucleinopathies. Currently, it is unclear how the aSyn protein can aggregate into diverse structures and affect distinct cell types and various brain regions, leading to different clinical symptoms. Recent advances in induced pluripotent stem cells (iPSCs)-based brain organoids (BOs) technology provide an unprecedented opportunity to define the etiology of synucleinopathies …

Investigating The Role Of Blood Models In Predicting Rupture Status Of Intracranial Aneurysms, Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Nan Mu, Jingfeng Jiang

Michigan Tech Publications

Purpose. Selecting patients with high-risk intracranial aneurysms (IAs) is of clinical importance. Recent work in machine learning-based (ML) predictive modeling has demonstrated that lesion-specific hemodynamics within IAs can be combined with other information to provide critical insights for assessing rupture risk. However, how the adoption of blood rheology models (i.e., Newtonian and Non-Newtonian blood models) may influence ML-based predictive modeling of IA rupture risk has not been investigated.Methods and Materials.In this study, we conducted transient CFD simulations using Newtonian and non-Newtonian rheology (Carreau-Yasuda [CY]) models on a large cohort of 'patient-specific' IA geometries (>100) under pulsatile flow conditions to …

Ensemble Learning With Explainable Ai For Improved Heart Disease Prediction Based On Multiple Datasets

Faculty, Staff and Student Publications

Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagnose cardiac conditions more accurately by applying machine learning technology. This study aimed to enhance heart disease prediction using stacking and voting ensemble methods. Fifteen base models were trained on two different heart disease datasets. After evaluating various combinations, six base models were pipelined to develop ensemble models employing a meta-model (stacking) and a majority vote (voting). The performance of the stacking and voting …

Structural Basis For Polθ-Helicase Dna Binding And Microhomology-Mediated End-Joining, Fumiaki Ito, Ziyuan Li, Leonid Minakhin, Htet A. Khant, Richard T. Pomerantz, Xiaojiang S. Chen

Department of Biochemistry and Molecular Biology Faculty Papers

DNA double-strand breaks (DSBs) present a critical threat to genomic integrity, often precipitating genomic instability and oncogenesis. Repair of DSBs predominantly occurs through homologous recombination (HR) and non-homologous end joining (NHEJ). In HR-deficient cells, DNA polymerase theta (Polθ) becomes critical for DSB repair via microhomology-mediated end joining (MMEJ), also termed theta-mediated end joining (TMEJ). Thus, Polθ is synthetically lethal with BRCA1/2 and other HR factors, underscoring its potential as a therapeutic target in HR-deficient cancers. However, the molecular mechanisms governing Polθ-mediated MMEJ remain poorly understood. Here we present a series of cryo-electron microscopy structures of the Polθ helicase domain (Polθ-hel) …

Tips For Quality Publishing; Lessons From The Neuroscience Editorial Team, Francesca Cirulli, Rachael Dangarembezi, Victor De Lafuente, Anthony J Hannan, Amanda C Kentner, Tatsuya Mima, Laurel Morris, Sarah J Spencer, Long-Jun Wu, Chen Zhang

The Brown Foundation: Institute of Molecular Medicine

In pursuit of excellence in scholarly publishing, the Neuroscience editorial team shares valuable insights that are essential for authors, reviewers, and the broader scientific community. Firstly, we emphasize that impactful research is built on rigorous study design and execution. Beyond fundamental methodological safeguards such as randomization and blinded analysis, we highlight the importance of thoughtfully selecting study models, with deliberate attention to biological variables like sex and gender, as well as appropriate nomenclature. Secondly, as technological innovations reshape research landscapes, we advocate for combining methodological rigor with suitable analytical tools to ensure robust data collection and transparent reporting. Thirdly, for …

A Nuclear Rna Degradation Code Is Recognized By Paxt For Eukaryotic Transcriptome Surveillance, Yoseop Yoon, Shuangyu Li, Lusong Tian, Marielle Valdez, Angela M Yu, Hong Yin, Wei Li, Fangyuan Ding, Georg Seelig, Lei Li, Yongsheng Shi

Faculty, Staff and Students Publications

The RNA exosome plays critical roles in eukaryotic RNA degradation, but how it specifically recognizes its targets remains unclear. The poly(A) tail exosome targeting (PAXT) connection is a nuclear adaptor that recruits the exosome to polyadenylated RNAs, especially transcripts polyadenylated at intronic poly(A) sites. Here, we show that PAXT-mediated RNA degradation is induced by the combination of a 5' splice site (ss) and a poly(A) junction (PAJ) but not by either sequence alone. These sequences are bound by U1 small nuclear ribonucleoprotein particle (snRNP) and cleavage/polyadenylation factors, which, in turn, cooperatively recruit PAXT. As the 5' ss-PAJ combination is typically …

Volumetric Changes In Cerebellar Transverse Zones: Age And Sex Effects In Health And Neurological Disorders, Farshid Ghiyamihoor, Payam Paymani, Jarrad Perron, Azam Asemi-Rad, Mehdi Marzban, Aashka Mohite, Karen Ardila, Bara Aljada, Asghar Marzban, Mehnosh Toback, Sherif Eltonsy, Ji Hyun Ko, Tabrez J Siddiqui, Christopher J Steele, Jiming Kong, Mario Manto, M Ethan Macdonald, Jason S Gill, Roy V Sillitoe, Fuat Balcı, Iman Beheshti, Hassan Marzban

Duncan NRI Faculty and Staff Publications

Cerebellar volumetric changes are intricately linked to aging, with distinct patterns across its transverse zones, the functional subdivisions characterized by unique cytoarchitectural and connectivity profiles. Despite research efforts, the cerebellar aging process in health and neurological disorders remains poorly understood. In this study, we investigated the effects of age and sex on total cerebellum, transverse zone, and lobule volumes using MRI data from over 45,000 participants compiled from six neuroimaging datasets. We also propose a framework for estimating cerebellum age as an indicator of cerebellar health. Significant age‐dependent volume reductions were observed across transverse zones, with the …

Synapsin Condensation Is Governed By Sequence-Encoded Molecular Grammars, Christian Hoffmann, Kiersten M Ruff, Irina A Edu, Min Kyung Shinn, Johannes V Tromm, Matthew R King, Avnika Pant, Hannes Ausserwöger, Jennifer R Morgan, Tuomas P J Knowles, Rohit V Pappu, Dragomir Milovanovic

2020-Current year OA Pubs

Multiple biomolecular condensates coexist at the pre- and post- synapse to enable vesicle dynamics and controlled neurotransmitter release in the brain. In pre-synapses, intrinsically disordered regions (IDRs) of synaptic proteins are drivers of condensation that enable clustering of synaptic vesicles (SVs). Using computational analysis, we show that the IDRs of SV proteins feature evolutionarily conserved non-random compositional biases and sequence patterns. Synapsin-1 is essential for condensation of SVs, and its C-terminal IDR has been shown to be a key driver of condensation. Focusing on this IDR, we dissected the contributions of two conserved features namely the segregation of polar and …

Immunotherapeutic Strategies In Head And Neck Cancer: Challenges And Opportunities, Xia Liu, R. Alex Harbison, Mark A. Varvares, Sidharth V. Puram, Guangyong Peng

2020-Current year OA Pubs

HNSCC remains a substantial health issue, with treatment options including surgery, radiation, and platinum-based chemotherapy. Unfortunately, despite progress in research, only modest gains have been made in disease control, with existing treatments resulting in significant functional and quality-of-life issues. The introduction of immunotherapy in the treatment of HNSCC has resulted in some improvements in outlook for patients and is now standard of care for populations with both recurrent and metastatic disease. However, despite the early successes, responses to immune checkpoint inhibition (ICI) remain modest to low, approaching 14%-22% objective response rates. Challenges to the effectiveness of ICI and other immunotherapies …

Unraveling The Hidden Complexity Of Cancer Through Long-Read Sequencing, Michal B Izydorczyk, Winston Timp, Fritz J Sedlazeck, Alison P Klein, Justin M Zook, Mikhail Kolmogorov, Michael C Schatz

Faculty, Staff and Students Publications

Cancer is fundamentally a disease of the genome, characterized by extensive genomic, transcriptomic, and epigenomic alterations. Most current studies predominantly use short-read sequencing, gene panels, or microarrays to explore these alterations; however, these technologies can systematically miss or misrepresent certain types of alterations, especially structural variants, complex rearrangements, and alterations within repetitive regions. Long-read sequencing is rapidly emerging as a transformative technology for cancer research by providing a comprehensive view across the genome, transcriptome, and epigenome, including the ability to detect alterations that previous technologies have overlooked. In this Perspective, we explore the current applications of long-read sequencing for both …

Results Of The Phase I/Ii Study And Preliminary B-Cell Gene Signature Of Combined Inhibition Of Glutamine Metabolism And Egfr In Colorectal Cancer, Kristen K Ciombor, Seong-Woo Bae, Jennifer G Whisenant, Gregory D Ayers, Quanhu Sheng, Gary T Smith, Saikat Chowdhury, Preeti Kanikarla Marie, Alexey Sorokin, Allison S Cohen, Laura W Goff, Dana B Cardin, John Paul Shen, Scott Kopetz, Cathy Eng, Yu Shyr, Jordan Berlin, H Charles Manning

Faculty, Staff and Student Publications

Purpose: EGFR-targeting mAbs are essential for managing rat sarcoma virus wild-type metastatic colorectal cancer (mCRC), but their limited efficacy necessitates exploring immunologic and metabolic factors influencing response. This study evaluated glutamine metabolism targeting with EGFR inhibition to identify response biomarkers in patients with prior anti-EGFR treatment progression.

Patients and methods: We conducted a phase I/II trial in patients with KRAS wild-type mCRC, combining panitumumab (6 mg/kg) and CB-839 (600 mg/kg or 800 mg/kg), hypothesizing that the dual inhibition of glutamine metabolism and MAPK signaling would enhance outcomes. As study correlatives, we investigated the B-cell activation signature "B-score" and glutamine PET …

Pilot First-In-Human Ccr2 Pet/Ct To Detect Abdominal Aortic Aneurysm Wall Instability, Santiago Elizondo-Benedetto, Deborah Sultan, Ryan Wahidi, Mahdjoub Hamdi, Mohamed S Zaghloul, Shahab Hafezi, Batool Arif, Laura K Mcdonald, Kitty Harrison, Dakkota Thies, Gyu Seong Heo, Hannah Luehmann, Lisa Detering, J Westley Ohman, Zachary J Wanken, Luis A Sanchez, Joseph E Ippolito, Jie Zheng, Robert J Gropler, Richard Laforest, Yongjian Liu, Mohamed A Zayed

2020-Current year OA Pubs

No abstract provided.

Machine Learning To Optimize Use Of Natriuretic Peptides In The Diagnosis Of Acute Heart Failure, Dimitrios Doudesis, Kuan Ken Lee, Mohamed Anwar, Adam J. Singer, Judd E. Hollander, Camille Chenevier-Gobeaux, Yann-Erick Claessens, Desiree Wussler, Dominic Weil, Nikola Kozhuharov, Ivo Strebel, Zaid Sabti, Christopher Defilippi, Stephen Seliger, Evandro Tinoco Mesquita, Jan C. Wiemer, Martin Möckel, Joel Coste, Patrick Jourdain, Komukai Kimiaki, Michihiro Yoshimura, Irwani Ibrahim, Shirley Beng Suat Ooi, Win Sen Kuan, Alfons Gegenhuber, Thomas Mueller, Olivier Hanon, Jean-Sébastien Vidal, Peter Cameron, Louisa Lam, Ben Freedman, Tommy Chung, Sean P. Collins, Christopher J. Lindsell, David E. Newby, Alan G. Japp, Anoop S. V. Shah, Humberto Villacorta, A. Mark Richards, John J V Mcmurray, Christian Mueller, James L. Januzzi, Nicholas L. Mills, Gordon Moe, Carlos Fernando, Hanna K. Gaggin, Antoni Bayes-Genis, Roland Rj Van Kimmenade, Yigal Pinto, Joost H. W. Rutten, Anton H. Van Den Meiracker, Luna Gargani, Nicola R. Pugliese, Pemberton Christopher, Michael Neumaier, Michael Behnes, Ibrahim Akin, Michele Bombelli, Guido Grassi, Peiman Nazerian, Giovanni Albano, Philipp Bahrmann

Department of Emergency Medicine Faculty Papers

AIMS: B-type natriuretic peptide (BNP) and mid-regional pro-atrial natriuretic peptide (MR-proANP) testing are guideline-recommended to aid in the diagnosis of acute heart failure. Nevertheless, the diagnostic performance of these biomarkers is uncertain.

METHODS AND RESULTS: We performed a systematic review and individual patient-level data meta-analysis to evaluate the diagnostic performance of BNP and MR-proANP. We subsequently developed and externally validated a decision-support tool called CoDE-HF that combines natriuretic peptide concentrations with clinical variables using machine learning to report the probability of acute heart failure. Fourteen studies from 12 countries provided individual patient-level data in 8493 patients for BNP and 3899 …

Machine Learning To Optimize Use Of Natriuretic Peptides In The Diagnosis Of Acute Heart Failure, Dimitrios Doudesis, Kuan Ken Lee, Mohamed Anwar, Adam J. Singer, Judd Hollander, Md, Camille Chenevier-Gobeaux, Yann-Erick Claessens, Desiree Wussler, Dominic Weil, Nikola Kozhuharov, Ivo Strebel, Zaid Sabti, Christopher Defilippi, Stephen Seliger, Evandro Tinoco Mesquita, Jan C. Wiemer, Martin Möckel, Joel Coste, Patrick Jourdain, Komukai Kimiaki, Michihiro Yoshimura, Irwani Ibrahim, Shirley Beng Suat Ooi, Win Sen Kuan, Alfons Gegenhuber, Thomas Mueller, Olivier Hanon, Jean-Sébastien Vidal, Peter Cameron, Louisa Lam, Ben Freedman, Tommy Chung, Sean P. Collins, Christopher J Lindsell, David E. Newby, Alan G. Japp, Anoop S V Shah, Humberto Villacorta, A Mark Richards, John J V Mcmurray, Christian Mueller, James L. Januzzi, Nicholas L. Mills

Department of Emergency Medicine Faculty Papers

AIMS: B-type natriuretic peptide (BNP) and mid-regional pro-atrial natriuretic peptide (MR-proANP) testing are guideline-recommended to aid in the diagnosis of acute heart failure. Nevertheless, the diagnostic performance of these biomarkers is uncertain.

METHODS AND RESULTS: We performed a systematic review and individual patient-level data meta-analysis to evaluate the diagnostic performance of BNP and MR-proANP. We subsequently developed and externally validated a decision-support tool called CoDE-HF that combines natriuretic peptide concentrations with clinical variables using machine learning to report the probability of acute heart failure. Fourteen studies from 12 countries provided individual patient-level data in 8493 patients for BNP and 3899 …

Disc Edema Secondary To Sleep Apnea: A Case Report, Jeannette A. Wong-Powell Od

Optometric Clinical Practice

Background: Bilateral optic disc edema is associated with multiple systemic conditions of potentially dire consequences. Idiopathic intracranial hypertension (IIH) is a common culprit and diagnosis of exclusion, which has been observed in multiple patients with obstructive sleep apnea (OSA) and raised questions of a pathophysiological link between the two.

Case Report: A 28-year-old Caucasian male with history of transient ischemic attack-like symptoms presented with bilateral disc edema prompting a multi-disciplinary work up that included imaging, lumbar puncture, laboratory analysis, neuroophthalmological, cardiological, and pulmonary evaluations that ultimately led to a diagnosis of OSA. The case is unique in that it followed …

Allosteric Targeted Drug Delivery For Enhanced Blood-Brain Barrier Penetration Via Mimicking Transmembrane Domain Interactions, Kaicheng Tang, Zhongjie Tang, Miaomiao Niu, Zuyin Kuang, Weiwei Xue, Xinlong Liu, Seongdong Jeong, Yifan Ma, Annette Wu, Betty Y S Kim, Wen Jiang, Zhaogang Yang, Chong Li

Faculty, Staff and Student Publications

Current strategies for active targeting in the brain are entirely based on the effective interaction of the ligand with the orthosteric sites of specific receptors on the blood-brain barrier (BBB), which is highly susceptible to various pathophysiological factors and limits the efficacy of drug delivery. Here, we propose an allosteric targeted drug delivery strategy that targets classical BBB transmembrane receptors by designing peptide ligands that specifically bind to their transmembrane domains. This strategy prevents competitive interference from endogenous ligands and antibodies by using the insulin receptor and integrin α

Leveraging Llms To Understand Narratives In Maude Reports

Faculty, Staff and Student Publications

Interest in using the MAUDE database to investigate adverse events linked to medical devices has been growing. Yet, the narrative sections of these reports remain largely unexplored, leaving valuable insights unutilized and creating an incomplete understanding of these events. To bridge this gap, we employ large language models (LLMs) to analyze and interpret these narratives. Using OpenAI's GPT-4-turbo model, we focused on MAUDE reports involving endoscopic clips to identify uncoded surgical procedures and uncover additional insights. This approach showcases the potential of LLMs in processing narrative content, offering a more efficient and cost-effective alternative to previous methods and supporting the …

Protocol For A Multisite, Observational Clinical Study Of The Association Between Skin Colour And Pulse Oximeter Accuracy In Children Undergoing Cardiac Catheterisation (Pach Study), Athar M Qureshi, Christopher P Bonafide, Elizabeth E Foglia, Jeffery Feldman, Meghan B Lane-Fall, Jennifer M Lynch, Anna Chien, Michelle Dunn, Michael L O'Byrne

Faculty, Staff and Students Publications

Introduction: Prospective, real-world clinical studies of the association between skin color and pulse oximeter (SpO2) accuracy in children are needed to address the limitations of previous research. Such studies are essential for generating evidence for clinicians, regulators and industry. This is the protocol for a multisite study funded by the National Heart, Lung, and Blood Institute (R01HL171313; 1 January 2024-31 December 2028).

Methods and analysis: In this pragmatic, observational study conducted in three large paediatric cardiac catheterisation centres in the USA, children undergoing cardiac catheterisation with directly measured arterial oxygen saturation will be prospectively enrolled. The outcome variable (SpO2 bias) …

Tobacco Smoke Exposure Is A Driver Of Altered Oxidative Stress Response And Immunity In Head And Neck Cancer, Yang Li, Pedram Yadollahi, Fonma N Essien, Vasanta Putluri, Chandra Shekar R Ambati, Abu Hena Mostafa Kamal, Lama M Abdurrahman, Maria E Ruiz Echartea, Keenan J Ernste, Akshar J Trivedi, Jonathan Vazquez-Perez, William H Hudson, William K Decker, Rutulkumar Patel, Abdullah A Osman, Farrah Kheradmand, Stephen Y Lai, Jeffrey N Myers, Heath D Skinner, Cristian Coarfa, Kwangwon Lee, Antrix Jain, Anna Malovannaya, Mitchell J Frederick, Vlad C Sandulache

Faculty, Staff and Student Publications

Background: Exposomes are critical drivers of carcinogenesis. However, how they modulate tumor behavior remains unclear. Extensive clinical data show cigarette smoke to be a key exposome that promotes aggressive tumors, higher rates of metastasis, reduced response to chemoradiotherapy, and suppressed anti-tumor immunity. We sought to determine whether smoke itself can modulate aggressive tumor behavior in head and neck squamous cell carcinoma (HNSCC) through reprogramming of the cellular reductive state.

Methods: Using established human and murine HNSCC cell lines and syngeneic mouse models, we utilized conventional western blotting, steady state and flux metabolomics, RNA sequencing, quantitative proteomics and flow cytometry to …

De Novo Variants In Cdkl1 And Cdkl2 Are Associated With Neurodevelopmental Symptoms, Ali H Bereshneh, Jonathan C Andrews, Daniel F Eberl, Guney Bademci, Nicholas A Borja, Stephanie Bivona, Wendy K Chung, Shinya Yamamoto, Michael F Wangler, Shane Mckee, Mustafa Tekin, Hugo J Bellen, Oguz Kanca

Duncan NRI Faculty and Staff Publications

The CDKL (cyclin-dependent kinase-like) family consists of five members in humans, CDKL1-5, that encode serine-threonine kinases. The only member that has been associated with a Mendelian disorder is CDKL5, and variants in CDKL5 cause developmental and epileptic encephalopathy type 2 (DEE2). Here, we study four de novo variants in CDKL2 identified in five individuals, including three unrelated probands and monozygotic twins. These individuals present with overlapping symptoms, including global developmental delay, intellectual disability, childhood-onset epilepsy, dyspraxia, and speech deficits. We also identified two individuals with de novo missense variants in CDKL1 in the published Deciphering Developmental Disorders (DDD) and GeneDx …

Biochemical Profiling And Structural Basis Of Adar1-Mediated Rna Editing, Rashmi Basavaraj, Jin Wang, Yi-Lan Weng, Yang Gao

Faculty, Staff and Students Publications

ADAR1 regulates RNA-induced immune responses by converting adenosine to inosine in double-stranded RNA. Mutations in ADAR1 are associated with human autoimmune disease, and targeting ADAR1 has been proposed for cancer immunotherapy. However, the molecular mechanisms underlying ADAR1-mediated editing remain unclear. Here, we provide detailed biochemical and structural characterizations of human ADAR1. Our biochemical profiling reveals that ADAR1 editing is both sequence and RNA-duplex-length dependent but can well tolerate mismatches near the editing site. High-resolution ADAR1-RNA complex structures, combined with mutagenesis, elucidate RNA binding, substrate selection, dimerization, and the essential role of RNA-binding domain 3. The ADAR1 structures also help explain …

Bone-Induced Her2 Promotes Secondary Metastasis In Hr+/Her2- Breast Cancer, Bree M Lege, Laura S Munoz-Arcos, Carolina Reduzzi, Swarnima Singh, Xiaoxin Hao, Yi-Hsuan Wu, Zeru Tian, Laura M Natalee, Gargi Damle, Deniz Demircioglu, Yixian Wang, Ling Wu, Elisabetta Molteni, Dan Hasson, Bora Lim, Zbigniew Gugala, Jerry E Chipuk, Julie E Lang, Joseph A Sparano, Chonghui Cheng, Massimo Cristofanilli, Han Xiao, Xiang H-F Zhang, Igor L Bado

Faculty, Staff and Students Publications

Bone metastases can disseminate to secondary sites and promote breast cancer progression creating additional clinical challenges. The mechanisms contributing to secondary metastasis are barely understood. Here, we evaluate the prediction power of Her2-expressing (Her2E) circulating tumor cells (CTCs) after analyzing over 13,000 CTCs from a cohort of 137 metastatic breast cancer (MBC) patients with initial HR+/Her2− status and employ preclinical models of bone metastasis (BM) to validate the role of Her2E CTCs in multi-organ metastases. While Her2 expression was higher in patients with bone metastasis, experimental analyses revealed that Her2E CTCs derived from bone lesions were more dependent on Her2 …

Zp4: A Novel Target For Car-T Cell Therapy In Triple Negative Breast Cancer, Diego F Chamorro, Paul Shafer, Ahmed Z Gad, Lacey E Dobrolecki, Emily Madaras, Nabil Ahmed, Michael T Lewis, Bing Zhang, Valentina Hoyos

Faculty, Staff and Students Publications

Triple-negative breast cancer (TNBC) remains one of the most challenging subtypes of breast cancer to treat due to a lack of effective targeted therapies. Chimeric antigen receptor (CAR)-T cells hold promise, but their efficacy in solid tumors is often limited by on-target/off-tumor toxicities. Through comprehensive bioinformatic analysis of public RNA and proteomic data, we identified zona pellucida glycoprotein 4 (ZP4) as a novel target for TNBC. ZP4 RNA and protein were detected in a subset of TNBC patient samples and patient-derived xenograft (PDX) models, with expression otherwise restricted to oocytes. We generated 89 ZP4-specific novel monoclonal antibodies and used the …

Capitalizing On Natural Language Processing (Nlp) To Automate The Evaluation Of Coach Implementation Fidelity In Guided Digital Cognitive-Behavioral Therapy (Gdcbt), Nur Hani Zainal, Regina Eckhardt, Gavin N Rackoff, Ellen E Fitzsimmons-Craft, Elsa Rojas-Ashe, Craig Barr Taylor, Burkhardt Funk, Daniel Eisenberg, Denise E Wilfley, Michelle G Newman

2020-Current year OA Pubs

BACKGROUND: As the use of guided digitally-delivered cognitive-behavioral therapy (GdCBT) grows, pragmatic analytic tools are needed to evaluate coaches' implementation fidelity.

AIMS: We evaluated how natural language processing (NLP) and machine learning (ML) methods might automate the monitoring of coaches' implementation fidelity to GdCBT delivered as part of a randomized controlled trial.

METHOD: Coaches served as guides to 6-month GdCBT with 3,381 assigned users with or at risk for anxiety, depression, or eating disorders. CBT-trained and supervised human coders used a rubric to rate the implementation fidelity of 13,529 coach-to-user messages. NLP methods abstracted data from text-based coach-to-user messages, and …