Digital Commons Network^™

A Student-Community Partnership To Enhance Cancer Research Training, Rebecca J. Melillo, Christiane El Khoury, Amy L. Shaver, Moriah L. Cunningham, Nathalia Benavides, Quezia Lacerda, Felix J. Kim, Amy E. Leader

Kimmel Cancer Center Faculty Papers

BACKGROUND: Despite the importance of community involvement in research, little formal training in community outreach and engagement (COE) is offered to cancer research trainees. A collaboration between the Office of COE and the Office of Cancer Research Training and Education Coordination (CRTEC) at the Sidney Kimmel Comprehensive Cancer Center at Jefferson led to the COE-CRTEC Trainee Working Group, a unique program in which trainees in cancer research each created a novel COE initiative.

METHODS: Four cancer research trainees were selected to serve as COE Program Liaisons (CPLs), each aligned with one of the four cancer center research programs. Each CPL …

Structural Basis Of The Human Transcriptional Mediator Regulated By Its Dissociable Kinase Module, Ti-Chun Chao, Shin-Fu Chen, Hee Jong Kim, Hui-Chi Tang, Hsiang-Ching Tseng, An Xu, Leon Palao, Subash Khadka, Tao Li, Mo-Fan Huang, Dung-Fang Lee, Kenji Murakami, Thomas G Boyer, Kuang-Lei Tsai

Faculty, Staff and Student Publications

The eukaryotic transcriptional Mediator comprises a large core (cMED) and a dissociable CDK8 kinase module (CKM). cMED recruits RNA polymerase II (RNA Pol II) and promotes pre-initiation complex formation in a manner repressed by the CKM through mechanisms presently unknown. Herein, we report cryoelectron microscopy structures of the complete human Mediator and its CKM. The CKM binds to multiple regions on cMED through both MED12 and MED13, including a large intrinsically disordered region (IDR) in the latter. MED12 and MED13 together anchor the CKM to the cMED hook, positioning CDK8 downstream and proximal to the transcription start site. Notably, the …

Therapeutic Targeting Of Differentiation-State Dependent Metabolic Vulnerabilities In Diffuse Midline Glioma., Nneka E. Mbah, Amy L. Myers, Peter Sajjakulnukit, Chan Chung, Joyce K. Thompson, Hanna S. Hong, Heather Giza, Derek Dang, Zeribe C. Nwosu, Mengrou Shan, Stefan R. Sweha, Daniella D. Maydan, Brandon Chen, Li Zhang, Brian Magnuson, Zirui Zhu, Megan Radyk, Brooke Lavoie, Viveka Nand Yadav, Imhoi Koo, Andrew D. Patterson, Daniel R. Wahl, Luigi Franchi, Sameer Agnihotri, Carl J. Koschmann, Sriram Venneti, Costas A. Lyssiotis

Manuscripts, Articles, Book Chapters and Other Papers

H3K27M diffuse midline gliomas (DMG), including diffuse intrinsic pontine gliomas (DIPG), exhibit cellular heterogeneity comprising less-differentiated oligodendrocyte precursors (OPC)-like stem cells and more differentiated astrocyte (AC)-like cells. Here, we establish in vitro models that recapitulate DMG-OPC-like and AC-like phenotypes and perform transcriptomics, metabolomics, and bioenergetic profiling to identify metabolic programs in the different cellular states. We then define strategies to target metabolic vulnerabilities within specific tumor populations. We show that AC-like cells exhibit a mesenchymal phenotype and are sensitized to ferroptotic cell death. In contrast, OPC-like cells upregulate cholesterol biosynthesis, have diminished mitochondrial oxidative phosphorylation (OXPHOS), and are accordingly more …

Phosphorylation-Driven Epichaperome Assembly Is A Regulator Of Cellular Adaptability And Proliferation., Tanaya Roychowdhury, Seth W Mcnutt, Chiranjeevi Pasala, Hieu Nguyen, Daniel T Thornton, Sahil Sharma, Luke Botticelli, Chander S Digwal, Suhasini Joshi, Nan Yang, Palak Panchal, Souparna Chakrabarty, Sadik Bay, Vladimir Markov, Charlene Kwong, Jeanine Lisanti, Sun Young Chung, Stephen D Ginsberg, Pengrong Yan, Elisa De Stanchina, Adriana Corben, Shanu Modi, Mary Alpaugh, Giorgio Colombo, Hediye Erdjument-Bromage, Thomas A Neubert, Robert J Chalkley, Peter R Baker, Alma L Burlingame, Anna Rodina, Gabriela Chiosis, Feixia Chu

College of Science & Mathematics Departmental Research

The intricate network of protein-chaperone interactions is crucial for maintaining cellular function. Recent discoveries have unveiled the existence of specialized chaperone assemblies, known as epichaperomes, which serve as scaffolding platforms that orchestrate the reconfiguration of protein-protein interaction networks, thereby enhancing cellular adaptability and proliferation. This study explores the structural and regulatory aspects of epichaperomes, with a particular focus on the role of post-translational modifications (PTMs) in their formation and function. A key finding is the identification of specific PTMs on HSP90, particularly at residues Ser226 and Ser255 within an intrinsically disordered region, as critical determinants of epichaperome assembly. Our data …

Bridging Big Data In The Enigma Consortium To Combine Non-Equivalent Cognitive Measures, Eamonn Kennedy, Shashank Vadlamani, Hannah M Lindsey, Pui-Wa Lei, Mary Jo-Pugh, Paul M Thompson, David F Tate, Frank G Hillary, Emily L Dennis, Elisabeth A Wilde, Enigma Clinical Endpoints Working Group Collaborators

Faculty, Staff and Student Publications

Investigators in neuroscience have turned to Big Data to address replication and reliability issues by increasing sample size. These efforts unveil new questions about how to integrate data across distinct sources and instruments. The goal of this study was to link scores across common auditory verbal learning tasks (AVLTs). This international secondary analysis aggregated multisite raw data for AVLTs across 53 studies totaling 10,505 individuals. Using the ComBat-GAM algorithm, we isolated and removed the component of memory scores associated with site effects while preserving instrumental effects. After adjustment, a continuous item response theory model used multiple memory items of varying …

Immuneapp For Hla-I Epitope Prediction And Immunopeptidome Analysis, Haodong Xu, Ruifeng Hu, Xianjun Dong, Lan Kuang, Wenchao Zhang, Chao Tu, Zhihong Li, Zhongming Zhao

Faculty, Staff and Student Publications

Advances in mass spectrometry accelerates the characterization of HLA ligandome, necessitating the development of efficient methods for immunopeptidomics analysis and (neo)antigen prediction. We develop ImmuneApp, an interpretable deep learning framework trained on extensive HLA ligand datasets, which improves the prediction of HLA-I epitopes, prioritizes neoepitopes, and enhances immunopeptidomics deconvolution. ImmuneApp extracts informative embeddings and identifies key residues for pHLA binding. We also present a more accurate model-based deconvolution approach and systematically analyzed 216 multi-allelic immunopeptidomics samples, identifying 835,551 ligands restricted to over 100 HLA-I alleles. Our investigation reveals the effectiveness of the composite model, denoted as ImmuneApp-MA, which integrates mono- …

An Emerging Multi-Omic Understanding Of The Genetics Of Opioid Addiction., Eric O Johnson, Heidi S Fisher, Kyle A Sullivan, Olivia Corradin, Sandra Sanchez-Roige, Nathan C Gaddis, Yasmine N Sami, Alice Townsend, Erica Teixeira Prates, Mirko Pavicic, Peter Kruse, Elissa J Chesler, Abraham A Palmer, Vanessa Troiani, Jason A. Bubier, Daniel A Jacobson, Brion S Maher

Faculty Research 2024

Opioid misuse, addiction, and associated overdose deaths remain global public health crises. Despite the tremendous need for pharmacological treatments, current options are limited in number, use, and effectiveness. Fundamental leaps forward in our understanding of the biology driving opioid addiction are needed to guide development of more effective medication-assisted therapies. This Review focuses on the omics-identified biological features associated with opioid addiction. Recent GWAS have begun to identify robust genetic associations, including variants in OPRM1, FURIN, and the gene cluster SCAI/PPP6C/RABEPK. An increasing number of omics studies of postmortem human brain tissue examining biological features (e.g., histone modification and gene …

Adipocyte Lipin 1 Expression Associates With Human Metabolic Health And Regulates Systemic Metabolism In Mice, Andrew Lapoint, Jason M. Singer, Daniel Ferguson, Trevor M. Shew, M. Katie Renkemeyer, Hector H. Palacios, Rachael L. Field, Gordon I. Smith, Mai He, Gary J Patti, Samuel Klein, Jonathan R. Brestoff, Brian N. Finck, Et Al.

2020-Current year OA Pubs

Dysfunctional adipose tissue is believed to promote the development of hepatic steatosis and systemic insulin resistance, but many of the mechanisms involved are still unclear. Lipin 1 catalyzes the conversion of phosphatidic acid to diacylglycerol, the penultimate step of triglyceride synthesis, which is essential for lipid storage. Herein we found that adipose tissue LPIN1 expression is decreased in people with obesity compared with lean subjects, and low LPIN1 expression correlated with multi-tissue insulin resistance and increased rates of hepatic de novo lipogenesis. Comprehensive metabolic and multiomic phenotyping demonstrated that adipocyte-specific Lpin1-/- mice had a metabolically unhealthy phenotype, including liver and …

Cdk12 Loss Drives Prostate Cancer Progression, Transcription-Replication Conflicts, And Synthetic Lethality With Paralog Cdk13, Jean Ching-Yi Tien, Jie Luo, Yu Chang, Yuping Zhang, Yunhui Cheng, Xiaoju Wang, Jianzhang Yang, Rahul Mannan, Somnath Mahapatra, Palak Shah, Xiao-Ming Wang, Abigail J Todd, Sanjana Eyunni, Caleb Cheng, Ryan J Rebernick, Lanbo Xiao, Yi Bao, James Neiswender, Rachel Brough, Stephen J Pettitt, Xuhong Cao, Stephanie J Miner, Licheng Zhou, Yi-Mi Wu, Estefania Labanca, Yuzhuo Wang, Abhijit Parolia, Marcin Cieslik, Dan R Robinson, Zhen Wang, Felix Y Feng, Jonathan Chou, Christopher J Lord, Ke Ding, Arul M Chinnaiyan

Faculty, Staff and Student Publications

Biallelic loss of cyclin-dependent kinase 12 (CDK12) defines a metastatic castration-resistant prostate cancer (mCRPC) subtype. It remains unclear, however, whether CDK12 loss drives prostate cancer (PCa) development or uncovers pharmacologic vulnerabilities. Here, we show Cdk12 ablation in murine prostate epithelium is sufficient to induce preneoplastic lesions with lymphocytic infiltration. In allograft-based CRISPR screening, Cdk12 loss associates positively with Trp53 inactivation but negatively with Pten inactivation. Moreover, concurrent Cdk12/Trp53 ablation promotes proliferation of prostate-derived organoids, while Cdk12 knockout in Pten-null mice abrogates prostate tumor growth. In syngeneic systems, Cdk12/Trp53-null allografts exhibit luminal morphology and immune checkpoint blockade sensitivity. Mechanistically, Cdk12 inactivation …

A Phase Ib/Ii Randomized Clinical Trial Of Oleclumab With Or Without Durvalumab Plus Chemotherapy In Patients With Metastatic Pancreatic Ductal Adenocarcinoma, Andrew L Coveler, Matthew J Reilley, Mark Zalupski, Teresa Macarulla, Christos Fountzilas, Mariano Ponz-Sarvisé, Adnan Nagrial, Nataliya V Uboha, Sophia Frentzas, Michael Overman, Anne Noonan, Wells A Messersmith, Nick Pavlakis, Niharika B Mettu, Ina Bisha, Ying Wang, Paul Smith, Elina Murtomaki, Agata A Bielska, Veronique Bragulat, Zachary A Cooper, Rakesh Kumar, David R Spigel

Faculty, Staff and Student Publications

Purpose: Pancreatic ductal adenocarcinoma upregulates CD73, potentially contributing to immune surveillance evasion. Combining oleclumab (CD73 inhibitor) and durvalumab with chemotherapy may identify an effective treatment option.

Patients and methods: We describe a multicenter phase Ib/II randomized clinical trial in patients with metastatic pancreatic ductal adenocarcinoma, untreated (cohort A) or previously received gemcitabine-based chemotherapy (cohort B; NCT03611556). During escalation, patients received oleclumab 1,500 or 3,000 mg, durvalumab 1,500 mg, and gemcitabine plus nab-paclitaxel (GnP; cohort A; n = 14) or modified FOLFOX (cohort B; n = 11). During expansion, cohort A patients (n = 170) were randomized to GnP (arm …

Yap1 Status Defines Two Intrinsic Subtypes Of Lcnec With Distinct Molecular Features And Therapeutic Vulnerabilities, C Allison Stewart, Lixia Diao, Yuanxin Xi, Runsheng Wang, Kavya Ramkumar, Alejandra G Serrano, Azusa Tanimoto, B Leticia Rodriguez, Benjamin B Morris, Li Shen, Bingnan Zhang, Yan Yang, Samera H Hamad, Robert J Cardnell, Alberto Duarte, Moushumi Sahu, Veronica Y Novegil, Bernard E Weissman, Michael Frumovitz, Neda Kalhor, Luisa Solis Soto, Pedro Da Rocha, Natalie Vokes, Don L Gibbons, Jing Wang, John V Heymach, Bonnie Glisson, Lauren Averett Byers, Carl M Gay

Faculty, Staff and Student Publications

Purpose: Large cell neuroendocrine carcinoma (LCNEC) is a high-grade neuroendocrine malignancy that, like small cell lung cancer (SCLC), is associated with the absence of druggable oncogenic drivers and dismal prognosis. In contrast to SCLC, however, there is little evidence to guide optimal treatment strategies, which are often adapted from SCLC and non-small cell lung cancer approaches.

Experimental design: To better define the biology of LCNEC, we analyzed cell line and patient genomic data and performed IHC and single-cell RNA sequencing of core needle biopsies from patients with LCNEC and preclinical models.

Results: In this study, we demonstrate that the presence …

Accurate Identification Of Locally Aneuploid Cells By Incorporating Cytogenetic Information In Single Cell Data Analysis, Ziyi Li, Ruoxing Li, Irene Ganan-Gomez, Hussein A Abbas, Guillermo Garcia-Manero, Wei Sun

Faculty, Staff and Student Publications

Single-cell RNA sequencing is a powerful tool to investigate the cellular makeup of tumor samples. However, due to the sparse data and the complex tumor microenvironment, it can be challenging to identify neoplastic cells that play important roles in tumor growth and disease progression. This is especially relevant for blood cancers, where neoplastic cells may be highly similar to normal cells. To address this challenge, we have developed partCNV and partCNVH, two methods for rapid and accurate detection of aneuploid cells with local copy number deletion or amplification. PartCNV uses an expectation-maximization (EM) algorithm with mixtures of Poisson distributions and …

Npm1-Mutated Myeloid Neoplasms Are A Unique Entity Not Defined By Bone Marrow Blast Percentage, Georgina Gener-Ricos, Alex Bataller, Juan Jose Rodriguez-Sevilla, Kelly S Chien, Andres E Quesada, Emmanuel Almanza-Huante, Danielle Hammond, Koji Sasaki, Courtney Dinardo, Tapan Kadia, Naval Daver, Gautam Borthakur, Ghayas C Issa, Nicholas J Short, Rashmi Kanagal-Shamanna, Hagop M Kantarjian, Guillermo Garcia-Manero, Guillermo Montalban-Bravo

Faculty, Staff and Student Publications

Introduction: NPM1-mutated (NPM1mut) myeloid neoplasms (MNs) with < 20% bone marrow (BM) blasts (NPM1mut MNs< 20) are uncommon, and their classification remains inconsistent.

Methods: The clinicopathologic features of 54 patients with NPM1mut MNs < 20 were evaluated and compared with wild-type NPM1 MNs < 20 and NPM1mut MNs≥20, respectively.

Results: NPM1mut MNs had similar features regardless of blast percentage, except for higher IDH2 (29% vs 7%, p = .023) and FLT3 (70% vs 11%, p < .001) frequency in patients with ≥20% BM blasts. Thirty-three (61%) patients with NPM1mut MNs < 20 received low-intensity chemotherapy (LIC) and 12 (22%) received intensive chemotherapy (IC). Higher complete remission rates (75% vs 27%, p = .006) and median overall survival (mOS) (not reached vs 30.4 months, p = .06) were observed with IC compared to LIC. Young patients (age < 60 years) did not reach mOS either when treated with LIC or IC. Stem cell transplant was associated with increased survival only in patients treated with LIC (HR, 0.24; p = .025). No differences in mOS were observed by BM blast strata (32.2 months, not reached and 46.9 months for < 10%, 10%-19%, and ≥20% blasts, p = .700) regardless of treatment modality (LIC: p = .900; IC: p = .360). Twenty-three patients (43%) with NPM1mut MNs < 20 had marrow blast progression to ≥20%.

Conclusions: Overall, NPM1mut MNs define a unique entity independent of BM blast percentage.

Biochemical And Structural Insights Into A 5′ To 3′ Rna Ligase Reveal A Potential Role In Trna Ligation, Yingjie Hu, Victor A Lopez, Hengyi Xu, James P Pfister, Bing Song, Kelly A Servage, Masahiro Sakurai, Benjamin T Jones, Joshua T Mendell, Tao Wang, Jun Wu, Alan M Lambowitz, Diana R Tomchick, Krzysztof Pawłowski, Vincent S Tagliabracci

Faculty, Staff and Student Publications

ATP-grasp superfamily enzymes contain a hand-like ATP-binding fold and catalyze a variety of reactions using a similar catalytic mechanism. More than 30 protein families are categorized in this superfamily, and they are involved in a plethora of cellular processes and human diseases. Here, we identify C12orf29 (RLIG1) as an atypical ATP-grasp enzyme that ligates RNA. Human RLIG1 and its homologs autoadenylate on an active site Lys residue as part of a reaction intermediate that specifically ligates RNA halves containing a 5’-phosphate and a 3’-hydroxyl. RLIG1 binds tRNA in cells and can ligate tRNA within the anticodon loop in vitro. Transcriptomic …

Evaluating Debio 1347 In Patients With Fgfr Fusion-Positive Advanced Solid Tumors From The Fuze Multicenter, Open-Label, Phase Ii Basket Trial, Petros Grivas, Elena Garralda, Funda Meric-Bernstam, Ingo K Mellinghoff, Lipika Goyal, James J Harding, E Claire Dees, Rastislav Bahleda, Nilofer S Azad, Asha Karippot, Razelle Kurzrock, Josep Tabernero, Juha Kononen, Matthew C H Ng, Rutika Mehta, Nataliya V Uboha, Frédéric Bigot, Valentina Boni, Samantha E Bowyer, Valeriy Breder, Andrés Cervantes, Nancy Chan, James M Cleary, Mallika Dhawan, Rikke L Eefsen, James Ewing, Donna M Graham, Tormod K Guren, Jin Won Kim, Krassimir Koynov, Do-Youn Oh, Rebecca Redman, Chia-Jui Yen, David Spetzler, Marie-Claude Roubaudi-Fraschini, Valerie Nicolas-Metral, Rafik Ait-Sarkouh, Claudio Zanna, Abdallah Ennaji, Anna Pokorska-Bocci, Keith T Flaherty

Faculty, Staff and Student Publications

Purpose: This multicenter phase II basket trial investigated the efficacy, safety, and pharmacokinetics of Debio 1347, an investigational, oral, highly selective, ATP-competitive, small molecule inhibitor of FGFR1-3, in patients with solid tumors harboring a functional FGFR1-3 fusion.

Patients and methods: Eligible adults had a previously treated locally advanced (unresectable) or metastatic biliary tract (cohort 1), urothelial (cohort 2), or another histologic cancer type (cohort 3). Debio 1347 was administered at 80 mg once daily, continuously, in 28-day cycles. The primary endpoint was the objective response rate. Secondary endpoints included duration of response, progression-free survival, overall survival, pharmacokinetics, and incidence of …

First-In-Human Clinical Outcomes With Ng-350a, An Anti-Cd40 Expressing Tumor-Selective Vector Designed To Remodel Immunosuppressive Tumor Microenvironments, Aung Naing, Danny Khalil, Oliver Rosen, D Ross Camidge, Tom Lillie, Rui-Ru Ji, Andrea Stacey, Matthew Thomas, Lee Rosen

Faculty, Staff and Student Publications

Background: Tumor-selective oncolytic viral vectors are promising anticancer therapeutics; however, challenges with dosing and potency in advanced/metastatic cancers have limited efficacy and usage. NG-350A is a next-generation blood-stable adenoviral vector engineered to express an agonist anti-cluster of differentiation (CD)40 antibody without affecting tumor-selectivity and oncolytic potency.

Methods: Intravenous and intratumoral (IT) administration of NG-350A was assessed in a phase Ia/Ib study in patients with metastatic/advanced epithelial tumors (NCT03852511). Dose-escalation was performed separately for intravenous (four dose levels available, each with infusions on Days 1, 3 and 5 of a 57-day treatment period) and IT (single injection on D1 …

Immuno-Scanning Electron Microscopy Of Islet Primary Cilia, Sanja Sviben, Alexander J Polino, Isabella L Melena, Jing W Hughes

2020-Current year OA Pubs

The definitive demonstration of protein localization on primary cilia has been a challenge for cilia biologists. Primary cilia are solitary thread-like projections that have a specialized protein composition, but as the ciliary structure overlays the cell membrane and other cell parts, the identity of ciliary proteins are difficult to ascertain by conventional imaging approaches like immunofluorescence microscopy. Surface scanning electron microscopy combined with immunolabeling (immuno-SEM) bypasses some of these indeterminacies by unambiguously showing protein expression in the context of the three-dimensional ultrastructure of the cilium. Here, we apply immuno-SEM to specifically identify proteins on the primary cilia of mouse and …

Institutional Experience Of Lymphoproliferative Disorders With Initial Diagnosis Made Via Fine Needle Aspiration At Otolaryngology Clinic, Alaa S. Hrizat, Jerald Gong, Stacey M. Gargano

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

BACKGROUND: This study characterizes lymphomas presenting as palpable head and neck masses and evaluates the role of fine needle aspiration (FNA) and flow cytometry (FC) in diagnosis.

DESIGN: A 5-year retrospective review of FNAs performed by pathologists in an ENT clinic identified cases with a predominant lymphoid population that lacked an epithelial component. Cytology, FC, and subsequent surgical pathology diagnoses were correlated.

RESULTS: Of 821 FNAs, 154 (19%) met selection criteria. Reactive lymph nodes accounted for 43% (67/154), with most diagnosed as 'negative for malignancy,' except one 'atypical' (ATY) case. Lymphoma was confirmed in 57% (87/154) of cases, categorized as …

Magnetoelectrics For Implantable Bioelectronics: Progress To Date, Fatima Alrashdan, Kaiyuan Yang, Jacob T Robinson

Faculty, Staff and Students Publications

The coupling of magnetic and electric properties manifested in magnetoelectric (ME) materials has unlocked numerous possibilities for advancing technologies like energy harvesting, memory devices, and medical technologies. Due to this unique coupling, the magnetic properties of these materials can be tuned by an electric field; conversely, their electric polarization can be manipulated through a magnetic field. Over the past seven years, our lab work has focused on leveraging these materials to engineer implantable bioelectronics for various neuromodulation applications. One of the main challenges for bioelectronics is to design miniaturized solutions that can be delivered with minimally invasive procedures and yet …

Sall4 And Gata4 Induce Cardiac Fibroblast Transition Towards A Partially Multipotent State With Cardiogenic Potential, Hong Gao, Saliha Pathan, Beverly R E A Dixon, Aarthi Pugazenthi, Megumi Mathison, Tamer M A Mohamed, Todd K Rosengart, Jianchang Yang

Faculty, Staff and Students Publications

Cardiac cellular fate transition holds remarkable promise for the treatment of ischemic heart disease. We report that overexpressing two transcription factors, Sall4 and Gata4, which play distinct and overlapping roles in both pluripotent stem cell reprogramming and embryonic heart development, induces a fraction of stem-like cells in rodent cardiac fibroblasts that exhibit unlimited ex vivo expandability with clonogenicity. Transcriptomic and phenotypic analyses reveal that around 32 ± 6.4% of the expanding cells express Nkx2.5, while 13 ± 3.6% express Oct4. Activated signaling pathways like PI3K/Akt, Hippo, Wnt, and multiple epigenetic modification enzymes are also detected. Under suitable conditions, these cells …

When Less Is More: Sketching With Minimizers In Genomics, Malick Ndiaye, Silvia Prieto-Baños, Lucy M Fitzgerald, Ali Yazdizadeh Kharrazi, Sergey Oreshkov, Christophe Dessimoz, Fritz J Sedlazeck, Natasha Glover, Sina Majidian

Faculty, Staff and Students Publications

The exponential increase in sequencing data calls for conceptual and computational advances to extract useful biological insights. One such advance, minimizers, allows for reducing the quantity of data handled while maintaining some of its key properties. We provide a basic introduction to minimizers, cover recent methodological developments, and review the diverse applications of minimizers to analyze genomic data, including de novo genome assembly, metagenomics, read alignment, read correction, and pangenomes. We also touch on alternative data sketching techniques including universal hitting sets, syncmers, or strobemers. Minimizers and their alternatives have rapidly become indispensable tools for handling vast amounts of data.

Multicenter Pivotal Study Of The Alterra Adaptive Prestent For The Treatment Of Pulmonary Regurgitation, V Vivian Dimas, Vasilis Babaliaros, Dennis Kim, D Scott Lim, Gareth Morgan, Thomas K Jones, Aimee K Armstrong, Darren Berman, Jamil Aboulhosn, Vaikom S Mahadevan, Matthew J Gillespie, David Balzer, Thomas Zellers, Xiao Yu, Girish Shirali, Anitha Parthiban, Jonathan Leipsic, Philipp Blanke, Evan Zahn, Shabana Shahanavaz

Faculty, Staff and Students Publications

Background: A dilated native right ventricular outflow tract (RVOT) presents unique challenges for transcatheter management using balloon-expandable valves. The Alterra Adaptive Prestent was designed to expand transcatheter therapy to treat patients with dilated RVOTs.

Objectives: The aim of this study was to report 2-year outcomes of the main cohort of the ALTERRA (Multicenter Study of Congenital Pulmonic Valve Dysfunction Studying the SAPIEN 3 THV With the Alterra Adaptive Prestent) pivotal trial using the prestent with transcatheter pulmonary valve replacement.

Methods: The prestent device used with the 29 mm SAPIEN 3 transcatheter heart valve (THV) was evaluated for the management of …

Integrated Electrophysiological And Genomic Profiles Of Single Cells Reveal Spiking Tumor Cells In Human Glioma, Rachel N Curry, Qianqian Ma, Malcolm F Mcdonald, Yeunjung Ko, Snigdha Srivastava, Pey-Shyuan Chin, Peihao He, Brittney Lozzi, Prazwal Athukuri, Junzhan Jing, Su Wang, Arif O Harmanci, Benjamin Arenkiel, Xiaolong Jiang, Benjamin Deneen, Ganesh Rao, Akdes Serin Harmanci

Faculty, Staff and Students Publications

Prior studies have described the complex interplay that exists between glioma cells and neurons, however, the electrophysiological properties endogenous to tumor cells remain obscure. To address this, we employed Patch-sequencing on human glioma specimens and found that one third of patched cells in IDH mutant (IDHmut) tumors demonstrate properties of both neurons and glia by firing single, short action potentials. To define these hybrid cells (HCs) and discern if they are of tumoral origin, we developed a computational tool, Single Cell Rule Association Mining (SCRAM), to annotate each cell individually. SCRAM revealed that HCs represent tumor and non-tumor cells that …

Sdeper: A Hybrid Machine Learning And Regression Method For Cell-Type Deconvolution Of Spatial Barcoding-Based Transcriptomic Data, Yunqing Liu, Ningshan Li, Ji Qi, Gang Xu, Jiayi Zhao, Nating Wang, Xiayuan Huang, Wenhao Jiang, Huanhuan Wei, Aurélien Justet, Taylor S Adams, Robert Homer, Amei Amei, Ivan O Rosas, Naftali Kaminski, Zuoheng Wang, Xiting Yan

Faculty, Staff and Students Publications

Spatial barcoding-based transcriptomic (ST) data require deconvolution for cellular-level downstream analysis. Here we present SDePER, a hybrid machine learning and regression method to deconvolve ST data using reference single-cell RNA sequencing (scRNA-seq) data. SDePER tackles platform effects between ST and scRNA-seq data, ensuring a linear relationship between them while addressing sparsity and spatial correlations in cell types across capture spots. SDePER estimates cell-type proportions, enabling enhanced resolution tissue mapping by imputing cell-type compositions and gene expressions at unmeasured locations. Applications to simulated data and four real datasets showed SDePER's superior accuracy and robustness over existing methods.

Bi-Directional Allosteric Pathway In Nmda Receptor Activation And Modulation, Paula A Bender, Subhajit Chakraborty, Ryan J Durham, Vladimir Berka, Elisa Carrillo, Vasanthi Jayaraman

Faculty, Staff and Student Publications

N-methyl-D-aspartate (NMDA) receptors are ionotropic glutamate receptors involved in learning and memory. NMDA receptors primarily comprise two GluN1 and two GluN2 subunits. The GluN2 subunit dictates biophysical receptor properties, including the extent of receptor activation and desensitization. GluN2A- and GluN2D-containing receptors represent two functional extremes. To uncover the conformational basis of their functional divergence, we utilize single-molecule fluorescence resonance energy transfer to probe the extracellular domains of these receptor subtypes under resting and ligand-bound conditions. We find that the conformational profile of the GluN2 amino-terminal domain correlates with the disparate functions of GluN2A- and GluN2D-containing receptors. Changes at the pre-transmembrane …

Stratomod: Predicting Sequencing And Variant Calling Errors With Interpretable Machine Learning, Nathan Dwarshuis, Peter Tonner, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Justin M Zook

Faculty, Staff and Students Publications

Despite the variety in sequencing platforms, mappers, and variant callers, no single pipeline is optimal across the entire human genome. Therefore, developers, clinicians, and researchers need to make tradeoffs when designing pipelines for their application. Currently, assessing such tradeoffs relies on intuition about how a certain pipeline will perform in a given genomic context. We present StratoMod, which addresses this problem using an interpretable machine-learning classifier to predict germline variant calling errors in a data-driven manner. We show StratoMod can precisely predict recall using Hifi or Illumina and leverage StratoMod's interpretability to measure contributions from difficult-to-map and homopolymer regions for …

Long-Term Human Immune Reconstitution, T-Cell Development, And Immune Reactivity In Mice Lacking The Murine Major Histocompatibility Complex: Validation With Cellular And Gene Expression Profiles., Milita Darguzyte, Philipp Antczak, Daniel Bachurski, Patrick Hoelker, Nima Abedpour, Rahil Gholamipoorfard, Hans A Schlößer, Kerstin Wennhold, Martin Thelen, Maria A Garcia-Marquez, Johannes Koenig, Andreas Schneider, Tobias Braun, Frank Klawonn, Michael Damrat, Masudur Rahman, Jan-Malte Kleid, Sebastian J Theobald, Eugen Bauer, Constantin Von Kaisenberg, Steven R Talbot, Leonard D. Shultz, Brian Soper, Renata Stripecke

Faculty Research 2024

Background: Humanized mice transplanted with CD34+ hematopoietic cells (HPCs) are broadly used to study human immune responses and infections in vivo and for testing therapies pre-clinically. However, until now, it was not clear whether interactions between the mouse major histocompatibility complexes (MHCs) and/or the human leukocyte antigens (HLAs) were necessary for human T-cell development and immune reactivity. Methods: We evaluated the long-term (20- week) human hematopoiesis and human T-cell development in NOD Scid Gamma (NSG) mice lacking the expression of MHC class I and II (NSG-DKO). Triplicate experiments were performed with HPCs obtained from three donors, and humanization was confirmed …

Interleukin-1 Receptor-Associated Kinase 1 In Cancer Metastasis And Therapeutic Resistance: Mechanistic Insights And Translational Advances., Mariana K Najjar, Munazza S Khan, Chuling Zhuang, Ankush Chandra, Hui-Wen Lo

Faculty, Staff and Student Publications

Interleukin-1 Receptor Associated Kinase 1 (IRAK1) is a serine/threonine kinase that plays a critical role as a signaling transducer of the activated Toll-like receptor (TLR)/Interleukin-1 receptor (IL-1R) signaling pathway in both immune cells and cancer cells. Upon hyperphosphorylation by IRAK4, IRAK1 forms a complex with TRAF6, which results in the eventual activation of the NF-κB and MAPK pathways. IRAK1 can translocate to the nucleus where it phosphorylates STAT3 transcription factor, leading to enhanced IL-10 gene expression. In immune cells, activated IRAK1 coordinates innate immunity against pathogens and mediates inflammatory responses. In cancer cells, IRAK1 is frequently activated, and the activation …

Mates: A Deep Learning-Based Model For Locus-Specific Quantification Of Transposable Elements In Single Cell, Ruohan Wang, Yumin Zheng, Zijian Zhang, Kailu Song, Erxi Wu, Xiaopeng Zhu, Tao P Wu, Jun Ding

Faculty, Staff and Students Publications

Transposable elements (TEs) are crucial for genetic diversity and gene regulation. Current single-cell quantification methods often align multi-mapping reads to either 'best-mapped' or 'random-mapped' locations and categorize them at the subfamily levels, overlooking the biological necessity for accurate, locus-specific TE quantification. Moreover, these existing methods are primarily designed for and focused on transcriptomics data, which restricts their adaptability to single-cell data of other modalities. To address these challenges, here we introduce MATES, a deep-learning approach that accurately allocates multi-mapping reads to specific loci of TEs, utilizing context from adjacent read alignments flanking the TE locus. When applied to diverse single-cell …

Multivariable Mendelian Randomization With Incomplete Measurements On The Exposure Variables In The Hispanic Community Health Study/Study Of Latinos, Yilun Li, Kin Yau Wong, Annie Green Howard, Penny Gordon-Larsen, Heather M Highland, Mariaelisa Graff, Kari E North, Carolina G Downie, Christy L Avery, Bing Yu, Kristin L Young, Victoria L Buchanan, Robert Kaplan, Lifang Hou, Brian Thomas Joyce, Qibin Qi, Tamar Sofer, Jee-Young Moon, Dan-Yu Lin

Faculty, Staff and Student Publications

Multivariable Mendelian randomization allows simultaneous estimation of direct causal effects of multiple exposure variables on an outcome. When the exposure variables of interest are quantitative omic features, obtaining complete data can be economically and technically challenging: the measurement cost is high, and the measurement devices may have inherent detection limits. In this paper, we propose a valid and efficient method to handle unmeasured and undetectable values of the exposure variables in a one-sample multivariable Mendelian randomization analysis with individual-level data. We estimate the direct causal effects with maximum likelihood estimation and develop an expectation-maximization algorithm to compute the estimators. We …