Biological Phenomena, Cell Phenomena, and Immunity Commons^™

Fibroblasts Are The Primary Contributors To A Disrupted Micro-Environment In End-Stage Pediatric Hypertrophic Cardiomyopathy, Hanna J Tadros, Diwakar Turaga, Yi Zhao, Chang-Ru Tsai, Iki A Adachi, Xiao Li, James F Martin

Faculty, Staff and Students Publications

Background: Hypertrophic cardiomyopathy (HCM) is a relatively rare but debilitating diagnosis in the pediatric population, and patients with end-stage HCM require heart transplantation. Here, we have examined the transcriptome in ventricular tissue from this patient group to identify cell states and underlying cellular processes unique to pediatric HCM.

Methods: We performed single-nucleus RNA sequencing (snRNA-seq) on explanted hearts at transplant in 3 pediatric patients with end-stage HCM and compared findings to pediatric control and adult HCM.

Results: We identified distinct underlying cellular processes in cardiomyocytes, fibroblasts, endothelial cells, and myeloid cells compared with controls. Pediatric HCM was enriched in cardiomyocytes …

Detection Of Viral Rna And Dna And Immune Response Following Administration Of Live Attenuated Measles And Varicella Vaccines In Children With Chronic Liver Disease, Sarah Kemme, Jennifer D Canniff, Krystle M Garth, Shaobing Li, Krupa Mysore, Adriana Weinberg, Amy G Feldman

Faculty, Staff and Students Publications

Infections preventable by live virus vaccines are surging in the setting of decreased herd immunity. Many children with chronic liver diseases (CLDs) are unimmunized and at increased risk for infection due to guidelines recommending against live vaccines within 4 weeks pretransplant. This prospective study of 21 children with CLD and 13 healthy controls defined the timing of measles virus and varicella-zoster virus (VZV) RNA- and DNA-emia following vaccination and compared immune responses to measles and varicella vaccines in both groups. Measles virus RNA and VZV DNA real-time PCR were measured weekly following vaccination; measles virus RNA was undetectable in all …

Ire1Α Silences Dsrna To Prevent Taxane-Induced Pyroptosis In Triple-Negative Breast Cancer, Longyong Xu, Fanglue Peng, Qin Luo, Yao Ding, Fei Yuan, Liting Zheng, Wei He, Sophie S Zhang, Xin Fu, Jin Liu, Ayse Sena Mutlu, Shuyue Wang, Ralf Bernd Nehring, Xingyu Li, Qianzi Tang, Catherine Li, Xiangdong Lv, Lacey E Dobrolecki, Weijie Zhang, Dong Han, Na Zhao, Eric Jaehnig, Jingyi Wang, Weiche Wu, Davis A Graham, Yumei Li, Rui Chen, Weiyi Peng, Yiwen Chen, Andre Catic, Zhibin Zhang, Bing Zhang, Anthony M Mustoe, Albert C Koong, George Miles, Michael T Lewis, Meng C Wang, Susan M Rosenberg, Bert W O'Malley, Thomas F Westbrook, Han Xu, Xiang H-F Zhang, C Kent Osborne, Jin Billy Li, Matthew J Ellis, Mothaffar F Rimawi, Jeffrey M Rosen, Xi Chen

Faculty, Staff and Students Publications

Chemotherapy is often combined with immune checkpoint inhibitor (ICI) to enhance immunotherapy responses. Despite the approval of chemo-immunotherapy in multiple human cancers, many immunologically cold tumors remain unresponsive. The mechanisms determining the immunogenicity of chemotherapy are elusive. Here, we identify the ER stress sensor IRE1α as a critical checkpoint that restricts the immunostimulatory effects of taxane-chemotherapy and prevents the innate immune recognition of immunologically cold triple-negative breast cancer (TNBC). IRE1α RNase silences taxane-induced dsRNA through RIDD (Regulated IRE1-Dependent Decay) to prevent NLRP3 inflammasome–dependent pyroptosis. Inhibition of IRE1α in Trp53−/− TNBC allows taxane to induce extensive dsRNAs that are sensed …

Steering Research On Mrna Splicing In Cancer Towards Clinical Translation, Olga Anczukow, Frédéric H-T Allain, Brittany L Angarola, Douglas L Black, Angela N Brooks, Chonghui Cheng, Ana Conesa, Edie I Crosse, Eduardo Eyras, Ernesto Guccione, Sydney X Lu, Karla M Neugebauer, Priyanka Sehgal, Xiao Song, Zuzana Tothova, Juan Valcárcel, Kevin M Weeks, Gene W Yeo, Andrei Thomas-Tikhonenko

Faculty, Staff and Students Publications

Splicing factors are affected by recurrent somatic mutations and copy number variations in several types of haematologic and solid malignancies, which is often seen as prima facie evidence that splicing aberrations can drive cancer initiation and progression. However, numerous spliceosome components also 'moonlight' in DNA repair and other cellular processes, making their precise role in cancer difficult to pinpoint. Still, few would deny that dysregulated mRNA splicing is a pervasive feature of most cancers. Correctly interpreting these molecular fingerprints can reveal novel tumour vulnerabilities and untapped therapeutic opportunities. Yet multiple technological challenges, lingering misconceptions, and outstanding questions hinder clinical translation. …

Nepali Oral Microbiomes Reflect A Gradient Of Lifestyles From Traditional To Industrialized, Erica Ryu, Yoshina Gautam, Diana Proctor, Dinesh Bhandari, Sarmila Tandukar, Meera Gupta, Guru Prasad Gautam, David Relman, Ahmed Shibl, Jeevan Bahadur Sherchand, Aashish Jha, Emily Davenport

SKMC Student Presentations and Publications

BACKGROUND: Lifestyle plays an important role in shaping the gut microbiome. However, its contributions to the oral microbiome remain less clear, due to the confounding effects of geography and methodology in investigations of populations studied to date. Furthermore, while the oral microbiome seems to differ between foraging and industrialized populations, we lack insight into whether transitions to and away from agrarian lifestyles shape the oral microbiota. Given the growing interest in so-called "vanishing microbiomes" potentially being a risk factor for increased disease prevalence in industrialized populations, it is important that we distinguish lifestyle from geography in the study of microbiomes …

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.

De Novo Variants In The Rnu4-2 Snrna Cause A Frequent Neurodevelopmental Syndrome, Yuyang Chen, Ruebena Dawes, Hyung Chul Kim, Alicia Ljungdahl, Sarah L Stenton, Susan Walker, Jenny Lord, Gabrielle Lemire, Alexandra C Martin-Geary, Vijay S Ganesh, Jialan Ma, Jamie M Ellingford, Erwan Delage, Elston N D'Souza, Shan Dong, David R Adams, Kirsten Allan, Madhura Bakshi, Erin E Baldwin, Seth I Berger, Jonathan A Bernstein, Ishita Bhatnagar, Ed Blair, Natasha J Brown, Lindsay C Burrage, Kimberly Chapman, David J Coman, Alison G Compton, Chloe A Cunningham, Precilla D'Souza, Petr Danecek, Emmanuèle C Délot, Kerith-Rae Dias, Ellen R Elias, Frances Elmslie, Care-Anne Evans, Lisa Ewans, Kimberly Ezell, Jamie L Fraser, Lyndon Gallacher, Casie A Genetti, Anne Goriely, Christina L Grant, Tobias Haack, Jenny E Higgs, Anjali G Hinch, Matthew E Hurles, Alma Kuechler, Katherine L Lachlan, Seema R Lalani, François Lecoquierre, Elsa Leitão, Anna Le Fevre, Richard J Leventer, Jan E Liebelt, Sarah Lindsay, Paul J Lockhart, Alan S Ma, Ellen F Macnamara, Sahar Mansour, Taylor M Maurer, Hector R Mendez, Kay Metcalfe, Stephen B Montgomery, Mariya Moosajee, Marie-Cécile Nassogne, Serena Neumann, Michael O'Donoghue, Melanie O'Leary, Elizabeth E Palmer, Nikhil Pattani, John Phillips, Georgia Pitsava, Ryan Pysar, Heidi L Rehm, Chloe M Reuter, Nicole Revencu, Angelika Riess, Rocio Rius, Lance Rodan, Tony Roscioli, Jill A Rosenfeld, Rani Sachdev, Charles J Shaw-Smith, Cas Simons, Sanjay M Sisodiya, Penny Snell, Laura St Clair, Zornitza Stark, Helen S Stewart, Tiong Yang Tan, Natalie B Tan, Suzanna E L Temple, David R Thorburn, Cynthia J Tifft, Eloise Uebergang, Grace E Vannoy, Pradeep Vasudevan, Eric Vilain, David H Viskochil, Laura Wedd, Matthew T Wheeler, Susan M White, Monica Wojcik, Lynne A Wolfe, Zoe Wolfenson, Caroline F Wright, Changrui Xiao, David Zocche, John L Rubenstein, Eirene Markenscoff-Papadimitriou, Sebastian M Fica, Diana Baralle, Christel Depienne, Daniel G Macarthur, Joanna M M Howson, Stephan J Sanders, Anne O'Donnell-Luria, Nicola Whiffin

Faculty, Staff and Students Publications

Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes1. Large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here we identify the non-coding RNA RNU4-2 as a syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome2. We identify an 18 base pair region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and stem III) that is severely depleted of …

Single-Cell Total-Rna Profiling Unveils Regulatory Hubs Of Transcription Factors, Yichi Niu, Jiayi Luo, Chenghang Zong

Faculty, Staff and Students Publications

Recent development of RNA velocity uses master equations to establish the kinetics of the life cycle of RNAs from unspliced RNA to spliced RNA (i.e., mature RNA) to degradation. To feed this kinetic analysis, simultaneous measurement of unspliced RNA and spliced RNA in single cells is greatly desired. However, the majority of single-cell RNA-seq chemistry primarily captures mature RNA species to measure gene expressions. Here, we develop a one-step total-RNA chemistry-based single-cell RNA-seq method: snapTotal-seq. We benchmark this method with multiple single-cell RNA-seq assays in their performance in kinetic analysis of cell cycle by RNA velocity. Next, with LASSO regression …

The Effect Of Cesarean Delivery On The Neonatal Gut Microbiome In An Under-Resourced Population In The Bronx, Ny, Usa, Sandra E Reznik, Ayodele J Akinyemi, David Harary, Mariam S Latuga, Mamta Fuloria, Maureen J Charron

SKMC Student Presentations and Publications

BACKGROUND: Neonatal and early-life gut microbiome changes are associated with altered cardiometabolic and immune development. In this study, we explored Cesarean delivery effects on the gut microbiome in our high-risk, under-resourced Bronx, NY population.

RESULTS: Fecal samples from the Bronx MomBa Health Study (Bronx MomBa Health Study) were categorized by delivery mode (vaginal/Cesarean) and analyzed via 16 S rRNA gene sequencing at four timepoints over the first two years of life. Bacteroidota organisms, which have been linked to decreased risk for obesity and type 2 diabetes, were relatively reduced by Cesarean delivery, while Firmicutes organisms were increased. Organisms belonging to …

A Single Cell Rna Sequence Atlas Of The Early Drosophila Larval Eye, Komal Kumar Bollepogu Raja, Kelvin Yeung, Yumei Li, Rui Chen, Graeme Mardon

Faculty, Staff and Students Publications

The Drosophila eye has been an important model to understand principles of differentiation, proliferation, apoptosis and tissue morphogenesis. However, a single cell RNA sequence resource that captures gene expression dynamics from the initiation of differentiation to the specification of different cell types in the larval eye disc is lacking. Here, we report transcriptomic data from 13,000 cells that cover six developmental stages of the larval eye. Our data show cell clusters that correspond to all major cell types present in the eye disc ranging from the initiation of the morphogenetic furrow to the differentiation of each photoreceptor cell type as …

Leveraging Integrated Rna Sequencing To Decipher Adrenomedullin's Protective Mechanisms In Experimental Bronchopulmonary Dysplasia, Subarna Palit, Amrit Kumar Shrestha, Shyam Thapa, Sandra L Grimm, Cristian Coarfa, Fabian Theis, Lukas M Simon, Binoy Shivanna

Faculty, Staff and Students Publications

Bronchopulmonary dysplasia (BPD) is a chronic lung disease commonly affecting premature infants, with limited therapeutic options and increased long-term consequences. Adrenomedullin (Adm), a proangiogenic peptide hormone, has been found to protect rodents against experimental BPD. This study aims to elucidate the molecular and cellular mechanisms through which Adm influences BPD pathogenesis using a lipopolysaccharide (LPS)-induced model of experimental BPD in mice. Bulk RNA sequencing of Adm-sufficient (wild-type or Adm+/+) and Adm-haplodeficient (Adm+/−) mice lungs, integrated with single-cell RNA sequencing data, revealed distinct gene expression patterns and cell type alterations associated with Adm deficiency …

Data Normalization For Addressing The Challenges In The Analysis Of Single-Cell Transcriptomic Datasets, Raquel Cuevas-Diaz Duran, Haichao Wei, Jiaqian Wu

Faculty, Staff and Student Publications

BACKGROUND: Normalization is a critical step in the analysis of single-cell RNA-sequencing (scRNA-seq) datasets. Its main goal is to make gene counts comparable within and between cells. To do so, normalization methods must account for technical and biological variability. Numerous normalization methods have been developed addressing different sources of dispersion and making specific assumptions about the count data.

MAIN BODY: The selection of a normalization method has a direct impact on downstream analysis, for example differential gene expression and cluster identification. Thus, the objective of this review is to guide the reader in making an informed decision on the most …

The Clinical Utility And Diagnostic Implementation Of Human Subject Cell Transdifferentiation Followed By Rna Sequencing, Shenglan Li, Sen Zhao, Jefferson C Sinson, Aleksandar Bajic, Jill A Rosenfeld, Matthew B Neeley, Mezthly Pena, Kim C Worley, Lindsay C Burrage, Monika Weisz-Hubshman, Shamika Ketkar, William J Craigen, Gary D Clark, Seema Lalani, Carlos A Bacino, Keren Machol, Hsiao-Tuan Chao, Lorraine Potocki, Lisa Emrick, Jennifer Sheppard, My T T Nguyen, Anahita Khoramnia, Paula Patricia Hernandez, Sandesh Cs Nagamani, Zhandong Liu, Christine M Eng, Brendan Lee, Pengfei Liu

Faculty, Staff and Students Publications

RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for clinical laboratories in adopting RNA-seq is the low or absent expression of a significant number of disease-associated genes/transcripts in clinically accessible samples. As this is especially problematic in neurological diseases, we developed a clinical diagnostic approach that enhanced the detection and evaluation of tissue-specific genes/transcripts through fibroblast-to-neuron cell transdifferentiation. The approach is designed specifically to suit clinical implementation, emphasizing simplicity, cost effectiveness, turnaround time, and reproducibility. For clinical validation, we generated induced neurons (iNeurons) from 71 individuals with primary …

Rna Sequencing For Solid Tumor Fusion Gene Detection: Proficiency Testing Practice And Performance Comparison, Julia A Bridge, Kevin C Halling, Joel T Moncur, Rhona J Souers, Meera R Hameed, Helen Fernandes, Angshumoy Roy, Lea Surrey, Laura J Tafe, Patricia Vasalos, Dolores H Lopez-Terrada

Faculty, Staff and Students Publications

Context: Next-generation sequencing-based approaches using RNA have increasingly been used by clinical laboratories for the detection of fusion genes, intragenic rearrangements, and exon-skipping events. Correspondingly, the College of American Pathologists (CAP) has advanced RNA sequencing proficiency testing (PT) to ensure optimal performance of these assays.

Objective: To report on laboratory performance and practices of RNA sequencing for the detection of fusion genes, intragenic rearrangements, and exon-skipping events using CAP PT data from 8 mailings (2018-A through 2021-B).

Design: CAP PT RNA sequencing program results from 153 laboratories across 24 proficiency test specimens, interrogating 22 distinct engineered fusion transcripts, were analyzed …

The Pan-Microbiome Profiling System Taxa4meta Identifies Clinical Dysbiotic Features And Classifies Diarrheal Disease, Qinglong Wu, Shyam Badu, Sik Yu So, Todd J Treangen, Tor C Savidge

Faculty, Staff and Students Publications

Targeted metagenomic sequencing is an emerging strategy to survey disease-specific microbiome biomarkers for clinical diagnosis and prognosis. However, this approach often yields inconsistent or conflicting results owing to inadequate study power and sequencing bias. We introduce Taxa4Meta, a bioinformatics pipeline explicitly designed to compensate for technical and demographic bias. We designed and validated Taxa4Meta for accurate taxonomic profiling of 16S rRNA amplicon data acquired from different sequencing strategies. Taxa4Meta offers significant potential in identifying clinical dysbiotic features that can reliably predict human disease, validated comprehensively via reanalysis of individual patient 16S data sets. We leveraged the power of Taxa4Meta's pan-microbiome …

A Relay Velocity Model Infers Cell-Dependent Rna Velocity, Shengyu Li, Pengzhi Zhang, Weiqing Chen, Lingqun Ye, Kristopher W Brannan, Nhat-Tu Le, Jun-Ichi Abe, John P Cooke, Guangyu Wang

Faculty, Staff and Student Publications

RNA velocity provides an approach for inferring cellular state transitions from single-cell RNA sequencing (scRNA-seq) data. Conventional RNA velocity models infer universal kinetics from all cells in an scRNA-seq experiment, resulting in unpredictable performance in experiments with multi-stage and/or multi-lineage transition of cell states where the assumption of the same kinetic rates for all cells no longer holds. Here we present cellDancer, a scalable deep neural network that locally infers velocity for each cell from its neighbors and then relays a series of local velocities to provide single-cell resolution inference of velocity kinetics. In the simulation benchmark, cellDancer shows robust …

Combined Bioinformatic And Splicing Analysis Of Likely Benign Intronic And Synonymous Variants Reveals Evidence For Pathogenicity, Owen R Hirschi, Stephanie A Felker, Surya P Rednam, Kelly L Vallance, D Williams Parsons, Angshumoy Roy, Gregory M Cooper, Sharon E Plon

Faculty, Staff and Students Publications

PURPOSE: Clinical variant analysis pipelines likely have poor sensitivity to the effects on splicing from variants beyond 10 to 20 bases of exon-intron boundaries. Here, we demonstrate the value of SpliceAI to inform curation of rare variants previously classified as benign/likely benign (B/LB) under current guidelines.

METHODS: Exome sequencing data from 576 pediatric cancer patients enrolled in the Texas KidsCanSeq study were filtered for intronic or synonymous variants absent from population databases, predicted to alter splicing via SpliceAI (>0.20), and scored >10 by combined annotation-dependent depletion. Rare synonymous or intronic B/LB variants in 61 genes submitted to ClinVar were …

Microbial Products Linked To Steatohepatitis Are Reduced By Deletion Of Nuclear Hormone Receptor Shp In Mice, Ryan Mifflin, Jung Eun Park, Mikang Lee, Prasant Kumar Jena, Yu-Jui Yvonne Wan, Hazel A Barton, Mirjavid Aghayev, Takhar Kasumov, Li Lin, Xinwen Wang, Robert Novak, Feng Li, He Huang, Leah P Shriver, Yoon-Kwang Lee

Faculty, Staff and Students Publications

Deletion of the nuclear hormone receptor small heterodimer partner (Shp) ameliorates the development of obesity and nonalcoholic steatohepatitis (NASH) in mice. Liver-specific SHP plays a significant role in this amelioration. The gut microbiota has been associated with these metabolic disorders, and the interplay between bile acids (BAs) and gut microbiota contributes to various metabolic disorders. Since hepatic SHP is recognized as a critical regulator in BA synthesis, we assessed the involvement of gut microbiota in the antiobesity and anti-NASH phenotype of Shp−/− mice. Shp deletion significantly altered the levels of a few conjugated BAs. Sequencing the 16S …

The Role Of Noncoding Rnas In Pancreatic Birth Defects, Ziyue Zoey Yang, Ronald J Parchem

Faculty, Staff and Students Publications

Congenital defects in the pancreas can cause severe health issues such as pancreatic cancer and diabetes which require lifelong treatment. Regenerating healthy pancreatic cells to replace malfunctioning cells has been considered a promising cure for pancreatic diseases including birth defects. However, such therapies are currently unavailable in the clinic. The developmental gene regulatory network underlying pancreatic development must be reactivated for in vivo regeneration and recapitulated in vitro for cell replacement therapy. Thus, understanding the mechanisms driving pancreatic development will pave the way for regenerative therapies. Pancreatic progenitor cells are the precursors of all pancreatic cells which use epigenetic changes …

Acaa2 Is A Novel Molecular Indicator For Cancers With Neuroendocrine Phenotype, Michelle Shen, Shiqin Liu, Angus Toland, En-Chi Hsu, Alifiani B Hartono, Busola R Alabi, Merve Aslan, Holly M Nguyen, Conner J Sessions, Rosalie Nolley, Chanjuan Shi, Jiaoti Huang, James D Brooks, Eva Corey, Tanya Stoyanova

Faculty, Staff and Student Publications

BACKGROUND: Neuroendocrine phenotype is commonly associated with therapy resistance and poor prognoses in small-cell neuroendocrine cancers (SCNCs), such as neuroendocrine prostate cancer (NEPC) and small-cell lung cancer (SCLC). Expression levels of current neuroendocrine markers exhibit high case-by-case variability, so multiple markers are used in combination to identify SCNCs. Here, we report that ACAA2 is elevated in SCNCs and is a potential molecular indicator for SCNCs.

METHODS: ACAA2 expressions in tumour xenografts, tissue microarrays (TMAs), and patient tissues from prostate and lung cancers were analysed via immunohistochemistry. ACAA2 mRNA levels in lung and prostate cancer (PC) patients were assessed in published …

Targeted Inhibition Of Lncrna Malat1 Alters The Tumor Immune Microenvironment In Preclinical Syngeneic Mouse Models Of Triple-Negative Breast Cancer, Oluwatoyosi Adewunmi, Yichao Shen, Xiang H-F Zhang, Jeffrey M Rosen

Faculty, Staff and Students Publications

Long noncoding RNAs (lncRNA) play an important role in gene regulation in both normal tissues and cancer. Targeting lncRNAs is a promising therapeutic approach that has become feasible through the development of gapmer antisense oligonucleotides (ASO). Metastasis-associated lung adenocarcinoma transcript (Malat1) is an abundant lncRNA whose expression is upregulated in several cancers. Although Malat1 increases the migratory and invasive properties of tumor cells, its role in the tumor microenvironment (TME) is still not well defined. We explored the connection between Malat1 and the tumor immune microenvironment (TIME) using several immune-competent preclinical syngeneic Tp53-null triple-negative breast cancer (TNBC) mouse models that …

Bacterial And Fungal Characterization Of Pancreatic Adenocarcinoma From Endoscopic Ultrasound-Guided Biopsies, Robin D Wright, Thais F Bartelli, Seyda Baydogan, James Robert White, Michael P Kim, Manoop S Bhutani, Florencia Mcallister

Faculty, Staff and Student Publications

INTRODUCTION: The tumor microbiome (TM) has been linked to pancreatic cancer prognosis. Specific microbes can confer tumor resistance to therapies. Early knowledge of the TM at time of diagnosis would be clinically relevant for precision therapy based on microbial composition. However, it is difficult to define the TM prior to surgical resection.

METHODS: In this pilot feasibility study, patients underwent Endoscopic Ultrasound-Fine Needle Aspiration (EUS-FNA) biopsy of pancreatic adenocarcinoma. These samples were analyzed using 16S rRNA and internal transcribed spacer (ITS) sequencing for characterization of the tumor bacteria and fungi.

RESULT: After in silico decontamination and comparison to non-matched tumor, …

Current Perspectives On Mass Spectrometry-Based Immunopeptidomics: The Computational Angle To Tumor Antigen Discovery, Bing Zhang, Michal Bassani-Sternberg

Faculty, Staff and Students Publications

Identification of tumor antigens presented by the human leucocyte antigen (HLA) molecules is essential for the design of effective and safe cancer immunotherapies that rely on T cell recognition and killing of tumor cells. Mass spectrometry (MS)-based immunopeptidomics enables high-throughput, direct identification of HLA-bound peptides from a variety of cell lines, tumor tissues, and healthy tissues. It involves immunoaffinity purification of HLA complexes followed by MS profiling of the extracted peptides using data-dependent acquisition, data-independent acquisition, or targeted approaches. By incorporating DNA, RNA, and ribosome sequencing data into immunopeptidomics data analysis, the proteogenomic approach provides a powerful means for identifying …

Neurodevelopmental Deficits And Cell-Type-Specific Transcriptomic Perturbations In A Mouse Model Of Hnrnpu Haploinsufficiency, Sarah A Dugger, Ryan S Dhindsa, Gabriela De Almeida Sampaio, Andrew K Ressler, Elizabeth E Rafikian, Sabrina Petri, Verity A Letts, Jiajie Teoh, Junqiang Ye, Sophie Colombo, Yueqing Peng, Mu Yang, Michael J Boland, Wayne N Frankel, David B Goldstein

Faculty, Staff and Students Publications

Heterozygous de novo loss-of-function mutations in the gene expression regulator HNRNPU cause an early-onset developmental and epileptic encephalopathy. To gain insight into pathological mechanisms and lay the potential groundwork for developing targeted therapies, we characterized the neurophysiologic and cell-type-specific transcriptomic consequences of a mouse model of HNRNPU haploinsufficiency. Heterozygous mutants demonstrated global developmental delay, impaired ultrasonic vocalizations, cognitive dysfunction and increased seizure susceptibility, thus modeling aspects of the human disease. Single-cell RNA-sequencing of hippocampal and neocortical cells revealed widespread, yet modest, dysregulation of gene expression across mutant neuronal subtypes. We observed an increased burden of differentially-expressed genes in mutant excitatory …

Single Cell Multiomics Identifies Cells And Genetic Networks Underlying Alveolar Capillary Dysplasia, Minzhe Guo, Kathryn A Wikenheiser-Brokamp, Joseph A Kitzmiller, Cheng Jiang, Guolun Wang, Allen Wang, Sebastian Preissl, Xiaomeng Hou, Justin Buchanan, Justyna A Karolak, Yifei Miao, David B Frank, William J Zacharias, Xin Sun, Yan Xu, Mingxia Gu, Pawel Stankiewicz, Vladimir V Kalinichenko, Jennifer A Wambach, Jeffrey A Whitsett

Faculty, Staff and Students Publications

Rationale

Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) is a lethal developmental disorder of lung morphogenesis caused by insufficiency of FOXF1 (forkhead box F1) transcription factor function. The cellular and transcriptional mechanisms by which FOXF1 deficiency disrupts human lung formation are unknown.

Objectives

To identify cell types, gene networks, and cell–cell interactions underlying the pathogenesis of ACDMPV.

Methods

We used single-nucleus RNA and assay for transposase-accessible chromatin sequencing, immunofluorescence confocal microscopy, and RNA in situ hybridization to identify cell types and molecular networks influenced by FOXF1 in ACDMPV lungs.

Measurements and Main Results

Pathogenic single-nucleotide variants and copy-number …

Exploring The Role Of Vitamin D And The Gut Microbiome: A Cross-Sectional Study Of Individuals With Irritable Bowel Syndrome And Healthy Controls, Sarah W Matthews, Anna Plantinga, Robert Burr, Kevin C Cain, Tor Savidge, Kendra Kamp, Margaret M Heitkemper

Faculty, Staff and Students Publications

Irritable bowel syndrome (IBS) is a common disorder of gut-brain interaction with multifaceted pathophysiology. Prior studies have demonstrated higher rates of vitamin D deficiency in individuals with IBS compared to healthy controls (HC), as well as associations of vitamin D concentration with IBS symptoms. A systematic review of 10 mouse and 14 human studies reported a positive association between vitamin D (serum levels and supplementation) and beta diversity of gut microbiome in a variety of conditions. The present retrospective case-control study aimed to compare vitamin D (25(OH)D) plasma concentrations and gut microbiome composition in adult women with IBS (n=99) and …

Plumbing Mysterious Rnas In “Dark Genome” For The Conquest Of Human Diseases, Lisa A Huang, Chunru Lin, Liuqing Yang

Faculty, Staff and Student Publications

Next-generation sequencing has revealed that less than 2% of transcribed genes are translated into proteins, with a large portion transcribed into noncoding RNAs (ncRNAs). Among these, long noncoding RNAs (lncRNAs) represent the largest group and are pervasively transcribed throughout the genome. Dysfunctions in lncRNAs have been found in various diseases, highlighting their potential as therapeutic, diagnostic, and prognostic targets. However, challenges, such as unknown molecular mechanisms and nonspecific immune responses, and issues of drug specificity and delivery present obstacles in translating lncRNAs into clinical applications. In this review, we summarize recent publications that have explored lncRNA functions in human diseases. …

Cfp1 Governs Uterine Epigenetic Landscapes To Intervene In Progesterone Responses For Uterine Physiology And Suppression Of Endometriosis, Seung Chel Yang, Mira Park, Kwon-Ho Hong, Hyeonwoo La, Chanhyeok Park, Peike Wang, Gaizhen Li, Qionghua Chen, Youngsok Choi, Francesco J Demayo, John P Lydon, David G Skalnik, Hyunjung J Lim, Seok-Ho Hong, So Hee Park, Yeon Sun Kim, Hye-Ryun Kim, Haengseok Song

Faculty, Staff and Students Publications

Progesterone (P4) is required for the preparation of the endometrium for a successful pregnancy. P4 resistance is a leading cause of the pathogenesis of endometrial disorders like endometriosis, often leading to infertility; however, the underlying epigenetic cause remains unclear. Here we demonstrate that CFP1, a regulator of H3K4me3, is required for maintaining epigenetic landscapes of P4-progesterone receptor (PGR) signaling networks in the mouse uterus. Cfp1f/f;Pgr-Cre (Cfp1d/d) mice showed impaired P4 responses, leading to complete failure of embryo implantation. mRNA and chromatin immunoprecipitation sequencing analyses showed that CFP1 regulates uterine mRNA profiles not only in H3K4me3-dependent …

Bi-Allelic Variants In Ints11 Are Associated With A Complex Neurological Disorder, Burak Tepe, Erica L Macke, Marcello Niceta, Monika Weisz Hubshman, Oguz Kanca, Laura Schultz-Rogers, Yuri A Zarate, G Bradley Schaefer, Jorge Luis Granadillo De Luque, Daniel J Wegner, Benjamin Cogne, Brigitte Gilbert-Dussardier, Xavier Le Guillou, Eric J Wagner, Lynn S Pais, Jennifer E Neil, Ganeshwaran H Mochida, Christopher A Walsh, Nurit Magal, Valerie Drasinover, Mordechai Shohat, Tanya Schwab, Chris Schmitz, Karl Clark, Anthony Fine, Brendan Lanpher, Ralitza Gavrilova, Pierre Blanc, Lydie Burglen, Alexandra Afenjar, Dora Steel, Manju A Kurian, Prab Prabhakar, Sophie Gößwein, Nataliya Di Donato, Enrico S Bertini, Undiagnosed Diseases Network, Michael F Wangler, Shinya Yamamoto, Marco Tartaglia, Eric W Klee, Hugo J Bellen

Faculty, Staff and Students Publications

The Integrator complex is a multi-subunit protein complex that regulates the processing of nascent RNAs transcribed by RNA polymerase II (RNAPII), including small nuclear RNAs, enhancer RNAs, telomeric RNAs, viral RNAs, and protein-coding mRNAs. Integrator subunit 11 (INTS11) is the catalytic subunit that cleaves nascent RNAs, but, to date, mutations in this subunit have not been linked to human disease. Here, we describe 15 individuals from 10 unrelated families with bi-allelic variants in INTS11 who present with global developmental and language delay, intellectual disability, impaired motor development, and brain atrophy. Consistent with human observations, we find that the fly ortholog …

Exosomes, Microvesicles, And Other Extracellular Vesicles-A Keystone Symposia Report, Jennifer Cable, Kenneth W Witwer, Robert J Coffey, Aleksandar Milosavljevic, Ariana K Von Lersner, Lizandra Jimenez, Ferdinando Pucci, Maureen M Barr, Niek Dekker, Bahnisikha Barman, Daniel Humphrys, Justin Williams, Michele De Palma, Wei Guo, Nuno Bastos, Andrew F Hill, Efrat Levy, Michael P Hantak, Clair Crewe, Elena Aikawa, Alan M Adamczyk, Tamires M Zanotto, Matias Ostrowski, Tanina Arab, Daniel C Rabe, Aadil Sheikh, Danilo Rodrigues Da Silva, Jennifer C Jones, Chioma Okeoma, Thomas Gaborski, Qin Zhang, Olesia Gololobova

Faculty, Staff and Students Publications

Extracellular vesicles (EVs) are small, lipid-bilayer-bound particles released by cells that can contain important bioactive molecules, including lipids, RNAs, and proteins. Once released in the extracellular environment, EVs can act as messengers locally as well as to distant tissues to coordinate tissue homeostasis and systemic responses. There is a growing interest in not only understanding the physiology of EVs as signaling particles but also leveraging them as minimally invasive diagnostic and prognostic biomarkers (e.g., they can be found in biofluids) and drug-delivery vehicles. On October 30-November 2, 2022, researchers in the EV field convened for the Keystone symposium "Exosomes, Microvesicles, …