Genetic Processes Commons^™

Sperm And Offspring Production In A Nonobstructive Azoospermia Mouse Model Via Testicular Mrna Delivery Using Lipid Nanoparticles, Daisuke Mashiko, Chihiro Emori, Yuki Hatanaka, Daisuke Motooka, Chen Pan, Yuki Kaneda, Martin M Matzuk, Masahito Ikawa

Faculty, Staff and Students Publications

Microsurgical testicular sperm extraction (microTESE) with intracytoplasmic sperm injection (ICSI) represents the current standard treatment for nonobstructive azoospermia (NOA). However, cures remain unavailable for NOA patients lacking retrievable haploid cells. mRNA supplementation could be a potential treatment for genetic defects leading to impaired spermatogenesis. Lipid nanoparticles (LNPs) have emerged as mRNA delivery vehicles with minimal risk of genome integration; however, their ability to selectively deliver mRNA to specific cell types remains limited. To overcome this, microRNA (miRNA) target sequences were incorporated into mRNA constructs to restrict expression specifically to germ cells. Using pyruvate dehydrogenase E1 subunit alpha 2 (PDHA2) knockout …

Clinical Validation Of Rna Sequencing For Mendelian Disorder Diagnostics, Sen Zhao, Kristina Macakova, Jefferson C Sinson, Hongzheng Dai, Jill Rosenfeld, Gladys E Zapata, Shenglan Li, Patricia A Ward, Christiana Wang, Chunjing Qu, Becky Maywald, Brendan Lee, Christine Eng, Pengfei Liu

Faculty, Staff and Students Publications

Despite rapid advancements in clinical sequencing, over half of diagnostic evaluations still lack definitive results. RNA sequencing (RNA-seq) has shown promise in research settings for bridging this gap by providing essential functional data for accurate interpretation of diagnostic sequencing results. However, despite advanced research pipelines, clinical translation of diagnostic RNA-seq has not yet been realized. We have developed and validated a clinical diagnostic RNA-seq test for individuals with suspected genetic disorders who have existing or concurrent comprehensive DNA diagnostic testing. This diagnostic RNA-seq test processes RNA samples from fibroblasts or blood and derives clinical interpretations based on the analytical detection …

Orthogonal And Multiplexable Genetic Perturbations With An Engineered Prime Editor And A Diverse Rna Array, Qichen Yuan, Hongzhi Zeng, Tyler C Daniel, Qingzhuo Liu, Yongjie Yang, Emmanuel C Osikpa, Qiaochu Yang, Advaith Peddi, Liliana M Abramson, Boyang Zhang, Yong Xu, Xue Gao

Faculty, Staff and Students Publications

Programmable and modular systems capable of orthogonal genomic and transcriptomic perturbations are crucial for biological research and treating human genetic diseases. Here, we present the minimal versatile genetic perturbation technology (mvGPT), a flexible toolkit designed for simultaneous and orthogonal gene editing, activation, and repression in human cells. The mvGPT combines an engineered compact prime editor (PE), a fusion activator MS2-p65-HSF1 (MPH), and a drive-and-process multiplex array that produces RNAs tailored to different types of genetic perturbation. mvGPT can precisely edit human genome via PE coupled with a prime editing guide RNA and a nicking guide RNA, activate endogenous gene expression …

Neurodevelopmental Disorder Caused By Deletion Of Chaserr, A Lncrna Gene, Vijay S Ganesh, Kevin Riquin, Nicolas Chatron, Esther Yoon, Kay-Marie Lamar, Miriam C Aziz, Pauline Monin, Melanie C O'Leary, Julia K Goodrich, Kiran V Garimella, Eleina England, Ben Weisburd, François Aguet, Carlos A Bacino, David R Murdock, Hongzheng Dai, Jill A Rosenfeld, Lisa T Emrick, Shamika Ketkar, Yael Sarusi, Damien Sanlaville, Saima Kayani, Brian Broadbent, Alisée Pengam, Bertrand Isidor, Stéphane Bezieau, Benjamin Cogné, Daniel G Macarthur, Igor Ulitsky, Gemma L Carvill, Anne O'Donnell-Luria

Faculty, Staff and Students Publications

No abstract provided.

Study Of Prognostic Splicing Factors In Cancer Using Machine Learning Approaches, Mengyuan Yang, Jiajia Liu, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Splicing factors (SFs) are the major RNA-binding proteins (RBPs) and key molecules that regulate the splicing of mRNA molecules through binding to mRNAs. The expression of splicing factors is frequently deregulated in different cancer types, causing the generation of oncogenic proteins involved in cancer hallmarks. In this study, we investigated the genes that encode RNA-binding proteins and identified potential splicing factors that contribute to the aberrant splicing applying a random forest classification model. The result suggested 56 splicing factors were related to the prognosis of 13 cancers, two SF complexes in liver hepatocellular carcinoma, and one SF complex in esophageal …

An Unexpected Path For Malat1 In Neurons: Trafficking Out Of The Nucleus For Translation, Bradley W Wright, Jeremy E Wilusz

Faculty, Staff and Students Publications

The Malat1 (metastasis-associated lung adenocarcinoma transcript 1) long noncoding RNA is highly and broadly expressed in mammalian tissues, accumulating in the nucleus where it modulates expression and pre-mRNA processing of many protein-coding genes. In this issue of Genes & Development, Xiao and colleagues (doi:10.1101/gad.351557.124) report that a significant fraction of Malat1 transcripts in cultured mouse neurons are surprisingly exported from the nucleus. These transcripts are packaged with Staufen proteins in RNA granules and traffic down the lengths of neurites. They then can be released in a stimulus-dependent manner to be locally translated into a microprotein that alters neuronal gene …

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 …

Germline Structural Variation Globally Impacts The Cancer Transcriptome Including Disease-Relevant Genes, Fengju Chen, Yiqun Zhang, Fritz J Sedlazeck, Chad J Creighton

Faculty, Staff and Students Publications

Germline variation and somatic alterations contribute to the molecular profile of cancers. We combine RNA with whole genome sequencing across 1,218 cancer patients to determine the extent germline structural variants (SVs) impact expression of nearby genes. For hundreds of genes, recurrent and common germline SV breakpoints within 100 kb associate with increased or decreased expression in tumors spanning various tissues of origin. A significant fraction of germline SV expression associations involves duplication of intergenic enhancers or 3' UTR disruption. Genes altered by both somatic and germline SVs include ATRX and CEBPA. Genes essential in cancer cell lines include BARD1 and …

Rare Variants In Long Non-Coding Rnas Are Associated With Blood Lipid Levels In The Topmed Whole-Genome Sequencing Study, Yuxuan Wang, Margaret Sunitha Selvaraj, Xihao Li, Zilin Li, Jacob A Holdcraft, Donna K Arnett, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Brian E Cade, Jenna C Carlson, April P Carson, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Susan K Dutcher, Patrick T Ellinor, James S Floyd, Myriam Fornage, Barry I Freedman, Stacey Gabriel, Soren Germer, Richard A Gibbs, Xiuqing Guo, Jiang He, Nancy Heard-Costa, Bertha Hildalgo, Lifang Hou, Marguerite R Irvin, Roby Joehanes, Robert C Kaplan, Sharon Lr Kardia, Tanika N Kelly, Ryan Kim, Charles Kooperberg, Brian G Kral, Daniel Levy, Changwei Li, Chunyu Liu, Don Lloyd-Jone, Ruth Jf Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Ryan L Minster, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Joanne M Murabito, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Michael H Preuss, Bruce M Psaty, Laura M Raffield, Dabeeru C Rao, Susan Redline, Alexander P Reiner, Stephen S Rich, Muagututi'a Sefuiva Ruepena, Wayne H-H Sheu, Jennifer A Smith, Albert Smith, Hemant K Tiwari, Michael Y Tsai, Karine A Viaud-Martinez, Zhe Wang, Lisa R Yanek, Wei Zhao, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Jerome I Rotter, Xihong Lin, Pradeep Natarajan, Gina M Peloso

Faculty, Staff and Student Publications

Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions in lipid metabolism. Large-scale whole-genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess more associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with measurement of blood lipids and lipoproteins (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants …

Oral Delivery Of Rnai For Cancer Therapy, Humayra Afrin, Renu Geetha Bai, Raj Kumar, Sheikh Shafin Ahmad, Sandeep K Agarwal, Md Nurunnabi

Faculty, Staff and Students Publications

Cancer is a major health concern worldwide and is still in a continuous surge of seeking for effective treatments. Since the discovery of RNAi and their mechanism of action, it has shown promises in targeted therapy for various diseases including cancer. The ability of RNAi to selectively silence the carcinogenic gene makes them ideal as cancer therapeutics. Oral delivery is the ideal route of administration of drug administration because of its patients' compliance and convenience. However, orally administered RNAi, for instance, siRNA, must cross various extracellular and intracellular biological barriers before it reaches the site of action. It is very …

Genetic Control Of Mrna Splicing As A Potential Mechanism For Incomplete Penetrance Of Rare Coding Variants, Jonah Einson, Dafni Glinos, Eric Boerwinkle, Peter Castaldi, Dawood Darbar, Mariza De Andrade, Patrick Ellinor, Myriam Fornage, Stacey Gabriel, Soren Germer, Richard Gibbs, Craig P Hersh, Jill Johnsen, Robert Kaplan, Barbara A Konkle, Charles Kooperberg, Rami Nassir, Ruth J F Loos, Deborah A Meyers, Braxton D Mitchell, Bruce Psaty, Ramachandran S Vasan, Stephen S Rich, Michael Rienstra, Jerome I Rotter, Aabida Saferali, Moore Benjamin Shoemaker, Edwin Silverman, Albert Vernon Smith, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium; Pejman Mohammadi, Pejman Mohammadi, Stephane E Castel, Ivan Iossifov, Tuuli Lappalainen

Faculty, Staff and Student Publications

Exonic variants present some of the strongest links between genotype and phenotype. However, these variants can have significant inter-individual pathogenicity differences, known as variable penetrance. In this study, we propose a model where genetically controlled mRNA splicing modulates the pathogenicity of exonic variants. By first cataloging exonic inclusion from RNA-sequencing data in GTEx V8, we find that pathogenic alleles are depleted on highly included exons. Using a large-scale phased whole genome sequencing data from the TOPMed consortium, we observe that this effect may be driven by common splice-regulatory genetic variants, and that natural selection acts on haplotype configurations that reduce …

Effective Methods For Bulk Rna-Seq Deconvolution Using Scnrna-Seq Transcriptomes, Francisco Avila Cobos, Mohammad Javad Najaf Panah, Jessica Epps, Xiaochen Long, Tsz-Kwong Man, Hua-Sheng Chiu, Elad Chomsky, Evgeny Kiner, Michael J Krueger, Diego Di Bernardo, Luis Voloch, Jan Molenaar, Sander R Van Hooff, Frank Westermann, Selina Jansky, Michele L Redell, Pieter Mestdagh, Pavel Sumazin

Faculty, Staff and Students Publications

Background: RNA profiling technologies at single-cell resolutions, including single-cell and single-nuclei RNA sequencing (scRNA-seq and snRNA-seq, scnRNA-seq for short), can help characterize the composition of tissues and reveal cells that influence key functions in both healthy and disease tissues. However, the use of these technologies is operationally challenging because of high costs and stringent sample-collection requirements. Computational deconvolution methods that infer the composition of bulk-profiled samples using scnRNA-seq-characterized cell types can broaden scnRNA-seq applications, but their effectiveness remains controversial.

Results: We produced the first systematic evaluation of deconvolution methods on datasets with either known or scnRNA-seq-estimated compositions. Our analyses revealed …

Deep Single-Cell Rna-Seq Data Clustering With Graph Prototypical Contrastive Learning, Junseok Lee, Sungwon Kim, Dongmin Hyun, Namkyeong Lee, Yejin Kim, Chanyoung Park

Faculty, Staff and Student Publications

MOTIVATION: Single-cell RNA sequencing enables researchers to study cellular heterogeneity at single-cell level. To this end, identifying cell types of cells with clustering techniques becomes an important task for downstream analysis. However, challenges of scRNA-seq data such as pervasive dropout phenomena hinder obtaining robust clustering outputs. Although existing studies try to alleviate these problems, they fall short of fully leveraging the relationship information and mainly rely on reconstruction-based losses that highly depend on the data quality, which is sometimes noisy.

RESULTS: This work proposes a graph-based prototypical contrastive learning method, named scGPCL. Specifically, scGPCL encodes the cell representations using Graph …

Crispr/Cas9 Screen Uncovers Functional Translation Of Cryptic Lncrna-Encoded Open Reading Frames In Human Cancer, Caishang Zheng, Yanjun Wei, Peng Zhang, Longyong Xu, Zhenzhen Zhang, Kangyu Lin, Jiakai Hou, Xiangdong Lv, Yao Ding, Yulun Chiu, Antrix Jain, Nelufa Islam, Anna Malovannaya, Yun Wu, Feng Ding, Han Xu, Ming Sun, Xi Chen, Yiwen Chen

Faculty, Staff and Students Publications

Emerging evidence suggests that cryptic translation within long noncoding RNAs (lncRNAs) may produce novel proteins with important developmental/physiological functions. However, the role of this cryptic translation in complex diseases (e.g., cancer) remains elusive. Here, we applied an integrative strategy combining ribosome profiling and CRISPR/Cas9 screening with large-scale analysis of molecular/clinical data for breast cancer (BC) and identified estrogen receptor α-positive (ER+) BC dependency on the cryptic ORFs encoded by lncRNA genes that were upregulated in luminal tumors. We confirmed the in vivo tumor-promoting function of an unannotated protein, GATA3-interacting cryptic protein (GT3-INCP) encoded by LINC00992, the expression of which was …

Parp1 Associates With R-Loops To Promote Their Resolution And Genome Stability, Natalie Laspata, Parminder Kaur, Sofiane Yacine Mersaoui, Daniela Muoio, Zhiyan Silvia Liu, Maxwell Henry Bannister, Hai Dang Nguyen, Caroline Curry, John M. Pascal, Guy G. Poirier, Hong Wang, Jean-Yves Masson, Elise Fouquerel

Student Papers, Posters & Projects

PARP1 is a DNA-dependent ADP-Ribose transferase with ADP-ribosylation activity that is triggered by DNA breaks and non-B DNA structures to mediate their resolution. PARP1 was also recently identified as a component of the R-loop-associated protein-protein interaction network, suggesting a potential role for PARP1 in resolving this structure. R-loops are three-stranded nucleic acid structures that consist of a RNA-DNA hybrid and a displaced non-template DNA strand. R-loops are involved in crucial physiological processes but can also be a source of genome instability if persistently unresolved. In this study, we demonstrate that PARP1 binds R-loops in vitro and associates with R-loop formation …

Crispr/Cas13 Effectors Have Differing Extents Of Off-Target Effects That Limit Their Utility In Eukaryotic Cells, Yuxi Ai, Dongming Liang, Jeremy E Wilusz

Faculty, Staff and Students Publications

CRISPR/Cas13 effectors have garnered increasing attention as easily customizable tools for detecting and depleting RNAs of interest. Near perfect complementarity between a target RNA and the Cas13-associated guide RNA is required for activation of Cas13 ribonuclease activity. Nonetheless, the specificity of Cas13 effectors in eukaryotic cells has been debated as the Cas13 nuclease domains can be exposed on the enzyme surface, providing the potential for promiscuous cleavage of nearby RNAs (so-called collateral damage). Here, using co-transfection assays in Drosophila and human cells, we found that the off-target effects of RxCas13d, a commonly used Cas13 effector, can be as strong as …

Aav-Crispr Gene Editing Is Negated By Pre-Existing Immunity To Cas9, Ang Li, Mark R Tanner, Ciaran M Lee, Ayrea E Hurley, Marco De Giorgi, Kelsey E Jarrett, Timothy H Davis, Alexandria M Doerfler, Gang Bao, Christine Beeton, William R Lagor

Faculty, Staff and Students Publications

Adeno-associated viral (AAV) vectors are a leading candidate for the delivery of CRISPR-Cas9 for therapeutic genome editing in vivo. However, AAV-based delivery involves persistent expression of the Cas9 nuclease, a bacterial protein. Recent studies indicate a high prevalence of neutralizing antibodies and T cells specific to the commonly used Cas9 orthologs from Streptococcus pyogenes (SpCas9) and Staphylococcus aureus (SaCas9) in humans. We tested in a mouse model whether pre-existing immunity to SaCas9 would pose a barrier to liver genome editing with AAV packaging CRISPR-Cas9. Although efficient genome editing occurred in mouse liver with pre-existing SaCas9 immunity, this was accompanied by …

The Sineb1 Element In The Long Non-Coding Rna Malat1 Is Necessary For Tdp-43 Proteostasis, Tuan M Nguyen, Elena B Kabotyanski, Lucas C Reineke, Jiaofang Shao, Feng Xiong, Joo-Hyung Lee, Julien Dubrulle, Hannah Johnson, Fabio Stossi, Phoebe S Tsoi, Kyoung-Jae Choi, Alexander G Ellis, Na Zhao, Jin Cao, Oluwatoyosi Adewunmi, Josephine C Ferreon, Allan Chris M Ferreon, Joel R Neilson, Michael A Mancini, Xi Chen, Jongchan Kim, Li Ma, Wenbo Li, Jeffrey M Rosen

Faculty, Staff and Students Publications

Transposable elements (TEs) comprise a large proportion of long non-coding RNAs (lncRNAs). Here, we employed CRISPR to delete a short interspersed nuclear element (SINE) in Malat1, a cancer-associated lncRNA, to investigate its significance in cellular physiology. We show that Malat1 with a SINE deletion forms diffuse nuclear speckles and is frequently translocated to the cytoplasm. SINE-deleted cells exhibit an activated unfolded protein response and PKR and markedly increased DNA damage and apoptosis caused by dysregulation of TDP-43 localization and formation of cytotoxic inclusions. TDP-43 binds stronger to Malat1 without the SINE and is likely 'hijacked' by cytoplasmic Malat1 to the …

Yeast Mitochondrial Protein Pet111p Binds Directly To Two Distinct Targets In Cox2 Mrna, Suggesting A Mechanism Of Translational Activation, Julia L Jones, Katharina B Hofmann, Andrew T Cowan, Dmitry Temiakov, Patrick Cramer, Michael Anikin

Rowan-Virtua School of Osteopathic Medicine Departmental Research

The genes in mitochondrial DNA code for essential subunits of the respiratory chain complexes. In yeast, expression of mitochondrial genes is controlled by a group of gene-specific translational activators encoded in the nucleus. These factors appear to be part of a regulatory system that enables concerted expression of the necessary genes from both nuclear and mitochondrial genomes to produce functional respiratory complexes. Many of the translational activators are believed to act on the 5'-untranslated regions of target mRNAs, but the molecular mechanisms involved in this regulation remain obscure. In this study, we used a combination of in vivo and in …

Iron-Dependent Cleavage Of Ribosomal Rna During Oxidative Stress In The Yeast Saccharomyces Cerevisiae, Jessica A Zinskie, Arnab Ghosh, Brandon M Trainor, Daniel Shedlovskiy, Dimitri G Pestov, Natalia Shcherbik

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Stress-induced strand breaks in rRNA have been observed in many organisms, but the mechanisms by which they originate are not well-understood. Here we show that a chemical rather than an enzymatic mechanism initiates rRNA cleavages during oxidative stress in yeast (Saccharomyces cerevisiae). We used cells lacking the mitochondrial glutaredoxin Grx5 to demonstrate that oxidant-induced cleavage formation in 25S rRNA correlates with intracellular iron levels. Sequestering free iron by chemical or genetic means decreased the extent of rRNA degradation and relieved the hypersensitivity of grx5Δ cells to the oxidants. Importantly, subjecting purified ribosomes to an in vitro iron/ascorbate …

Endonucleolytic Cleavage In The Expansion Segment 7 Of 25s Rrna Is An Early Marker Of Low-Level Oxidative Stress In Yeast, Daniel Shedlovskiy, Jessica A Zinskie, Ethan Gardner, Dimitri G Pestov, Natalia Shcherbik

Rowan-Virtua School of Osteopathic Medicine Departmental Research

The ability to detect and respond to oxidative stress is crucial to the survival of living organisms. In cells, sensing of increased levels of reactive oxygen species (ROS) activates many defensive mechanisms that limit or repair damage to cell components. The ROS-signaling responses necessary for cell survival under oxidative stress conditions remain incompletely understood, especially for the translational machinery. Here, we found that drug treatments or a genetic deficiency in the thioredoxin system that increase levels of endogenous hydrogen peroxide in the yeast Saccharomyces cerevisiae promote site-specific endonucleolytic cleavage in 25S ribosomal RNA (rRNA) adjacent to the c loop of …

Microrna-Target Interactions In Embryonic Stem Cells, Shuang Wu

Graduate School of Biomedical Sciences Theses and Dissertations

Animal embryogenesis is a highly orchestrated process involving many geneexpression programs that determine specific fates of individual cells during development. Gene expression can be regulated at different stages such as at transcription initiation or mRNA stability, and microRNA-mediated gene regulation is a crucial pathway on the regulation of mRNA stability. microRNAs, or miRNAs, are small, conserved non-coding RNAs that negatively regulate gene expression post-transcriptionally. The mouse miR-290-295 cluster and its human homolog miR-371-373 are stem cell-specific miRNA clusters, and their expression can only be observed in early embryos, primordial germ cells, germ cell compartments of adult testis and embryonic stem …