Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. CPOD Seminar Talk: Alex Hughes, PhD (UPenn)"Interpreting geometric rules of early kidney formation for synthetic morphogenesis" (October 11, 2022 4:00pm) https://events.umich.edu/event/98601 98601-21796958@events.umich.edu Event Begins: Tuesday, October 11, 2022 4:00pm
Location: Off Campus Location
Organized By: Center for Cell Plasticity and Organ Design

Tuesday, October 11, 2022 4:00 pm
Center for Cell Plasticity and Organ Design presents:

Alex Hughes, PhD
Assistant Professor
Department of Bioengineering
University of Pennsylvania

Seminar entitled: "Interpreting geometric rules of early kidney formation for synthetic morphogenesis"

In-Person: BSRB ABC Seminar Rooms
Zoom Meeting Option ID: 932 944 30678

Faculty Host: Claudia Loebel, MD PhD, Assistant Professor, Materials Science & Engineering

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Lecture / Discussion Mon, 12 Sep 2022 21:04:22 -0400 2022-10-11T16:00:00-04:00 2022-10-11T17:00:00-04:00 Off Campus Location Center for Cell Plasticity and Organ Design Lecture / Discussion Hughes
DCMB / CCMB Weekly Seminar (October 12, 2022 4:00pm) https://events.umich.edu/event/99377 99377-21797973@events.umich.edu Event Begins: Wednesday, October 12, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:

Our current understanding of how genes are regulated is akin to solving a jigsaw puzzle. Many factors governing gene expression have been identified, and researchers have collected a wide variety of related datasets. However, how these "parts" are pieced together to function as a whole remains unclear. In this talk, I will discuss our research to develop and apply state-of-the-art machine learning methods to genomics datasets to attempt to put together the pieces from the data. I will cover our work using deep learning architecture that captures the data's underlying structure to integrate datasets and connect them to gene expression via the prediction task. We also interpret the prediction results and tie them back to contributing factors to develop potential hypotheses related to gene regulation. I will then move from bulk data to the single-cell data domain and discuss methods to perform unsupervised integration of different types of single-cell experiments. This talk aims to highlight our research direction's potential to reveal the important gene regulatory mechanisms in characterizing cell types and diseases from the collected data.

Bio:

Ritambhara Singh is an Assistant Professor in the Computer Science department and a faculty member of the Center for Computational Molecular Biology at Brown University. Her research lab works at the intersection of machine learning and biology. Prior to joining Brown, Singh was a post-doctoral researcher in the Noble Lab at the University of Washington. She completed her Ph.D. in 2018 from the University of Virginia with Dr. Yanjun Qi as her advisor. Her research has involved developing machine learning algorithms for the analysis of biological data as well as applying deep learning models to novel biological and biomedical applications. She recently received the NHGRI Genomic Innovator Award for developing deep learning methods to integrate and model genomics datasets. URL: https://vivo.brown.edu/display/rsingh47

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Lecture / Discussion Tue, 27 Sep 2022 09:32:07 -0400 2022-10-12T16:00:00-04:00 2022-10-12T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion Ritambhara Singh, Asst. Professor (Brown University)
DCMB / CCMB Weekly Seminar (October 19, 2022 4:00pm) https://events.umich.edu/event/99817 99817-21798751@events.umich.edu Event Begins: Wednesday, October 19, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:
Genome-wide association studies (GWAS) successfully identified more than a hundred genomic regions that contribute to schizophrenia risk. However, extracting biological mechanisms from GWAS is a challenge, because the majority of common risk variants reside in noncoding regions of the genome. In this talk, I will outline how high-resolution 3D maps of chromatin contacts in the human brain permit large-scale annotation of non-coding variants. In particular, I will introduce a novel platform that my lab has developed, Hi-C-coupled MAGMA (H-MAGMA), that annotates GWAS by incorporating chromatin interaction profiles from human brain tissue. While H-MAGMA identified neurobiologically relevant target genes for psychiatric disorders, application of H-MAGMA to schizophrenia GWAS identified thousands of genes to be associated with schizophrenia, necessitating the need for refining variants. To this end, we performed a massively parallel reporter assay (MPRA) on schizophrenia risk variants, from which we detected 440 variants with allelic regulatory activity. Characterization of these functional regulatory variants provided previously unknown regulatory principles of schizophrenia.

Short bio:
Hyejung Won is an Assistant Professor in the Department of Genetics and Neuroscience Center at the University of North Carolina at Chapel Hill. She received her B.S. and Ph.D. in Biology from Korea Advanced Institute of Science and Technology (KAIST), where she conducted research revealing the underlying mechanism of neurodevelopmental conditions using genetically modified mice under the supervision of Dr. Eunjoon Kim. She then joined Dr. Dan Geschwind’s group at UCLA, where she established Hi-C, a genome-wide chromosome conformation capture technology, and generated chromatin interaction profiles from the developing and adult human brain. Her lab leverages the genomics approach to bridge the gap between genetic risk factors and neurobiological mechanisms by mapping genetic variants of unknown function to the genes that they regulate, and identifying how dysfunctional gene regulation contributes to disease pathogenesis. Hyejung is the recipient of the NIH Director’s New Innovator Award, HHMI Gilliam Fellowship, NIH Pathway to Independence Award, and a NARSAD Young Investigator Award. She is also an active participant of the Impact of Genomic Variation on Function (IGVF) and PsychENCODE consortia.

Zoom link: https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Lecture / Discussion Tue, 04 Oct 2022 13:40:56 -0400 2022-10-19T16:00:00-04:00 2022-10-19T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion Hyejung Won, PhD
Department of Computational Medicine & Bioinformatics -- Weekly Seminar (November 2, 2022 4:00pm) https://events.umich.edu/event/100730 100730-21800294@events.umich.edu Event Begins: Wednesday, November 2, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:

Graph representation learning leverages knowledge, geometry, and structure to develop powerful machine learning methods. First, I will introduce Shepherd, a graph neural network for personalized diagnosis of patients with rare genetic diseases. Diagnostic delay is pervasive in patients with rare genetic conditions. It can lead to numerous problems, including redundant testing and unnecessary procedures, delays in obtaining disease-appropriate management and therapies, and even irreversible disease progression. Shepherd uses knowledge-guided geometric deep learning to gather information from different parts of a knowledge graph and logically connect a patient's clinical-genomic information to the region in the knowledge graph relevant to diagnosis. Evaluation of patients from the Undiagnosed Diseases Network shows that Shepherd accurately identifies causal disease genes, finds other patients with the same causal gene and disease, and provides interpretable characterizations of novel diseases. Second, I will describe applications of graph neural networks in drug discovery. These are available through Therapeutics Data Commons (https://tdcommons.ai), an initiative to access and evaluate AI capability across therapeutic modalities and stages of drug discovery. The Commons supports the development of machine learning methods, with a strong bent towards developing the foundations for which methods are most suitable for drug discovery and why.

Short Bio:
Marinka Zitnik (https://zitniklab.hms.harvard.edu) is an Assistant Professor at Harvard University with appointments in the Department of Biomedical Informatics, Broad Institute of MIT and Harvard, and Harvard Data Science. Dr. Zitnik has published extensively in top ML venues and leading scientific journals. She has organized conferences and workshops in graph representation learning, drug discovery, and precision medicine at leading conferences (NeurIPS, ICLR, ICML, ISMB, AAAI, WWW), where she is also on the organizing committees. She is an ELLIS Scholar in the European Laboratory for Learning and Intelligent Systems (ELLIS) Society and a member of the Science Working Group at NASA Space Biology. Her research won paper and research awards from the International Society for Computational Biology, Bayer Early Excellence in Science, Amazon Faculty Research, Roche Alliance with Distinguished Scientists, Rising Star Award in Electrical Engineering and Computer Science, and Next Generation in Biomedicine Recognition, being the only young scientist with such recognition in both EECS and Biomedicine. She co-founded Therapeutics Data Commons and also AI for Science community initiative. https://zitniklab.hms.harvard.edu/zitnik-bio170.txt

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Wed, 26 Oct 2022 15:15:31 -0400 2022-11-02T16:00:00-04:00 2022-11-02T17:00:00-04:00 Palmer Commons DCMB Seminar Series Livestream / Virtual Marinka Zitnik, PhD (Assistant Prof. of Biomedical Informatics at HMS)
DCMB / CCMB Seminar (November 9, 2022 4:00pm) https://events.umich.edu/event/101047 101047-21800725@events.umich.edu Event Begins: Wednesday, November 9, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Talk Title:
From variants to functions for coronary artery disease: Systematic Perturb-seq links GWAS loci to disease programs in endothelial cells

Abstract:
Abstract: Genome-wide association studies (GWAS) have discovered >200 associations for coronary artery disease (CAD), each of which could point to genes and pathways that influence disease risk. It is thought that a fraction of these CAD risk loci influences the functions of endothelial cells, and that genes in multiple GWAS loci might act together in certain pathways. Yet, identifying these genes and pathways has proven challenging: each GWAS locus can have 2-20 candidate genes, a gene may participate in one or more pathways in a given cell type, and it remains unclear which genes and pathways would be likely to influence disease risk. I will present our work to address this challenge by developing a Variant-to-Gene-to-Program (V2G2P) framework to study the role of endothelial cells in coronary artery disease, involving building a Variant-to-Gene map with ABC and a Gene-to-Program map with systematic Perturb-seq. Our study nominates new genes that likely influence risk for CAD, identifies convergence of CAD risk loci into certain gene programs in endothelial cells, and demonstrates a generalizable strategy to catalog gene programs to connect disease variants to functions.

Zoom link:
https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Thu, 03 Nov 2022 14:17:51 -0400 2022-11-09T16:00:00-05:00 2022-11-09T17:00:00-05:00 Palmer Commons DCMB Seminar Series Livestream / Virtual Jesse Engreitz, PhD (Asst. Prof., Dept. of Genetics, Stanford)
Weekly DCMB Seminar with Refreshments (February 8, 2023 4:00pm) https://events.umich.edu/event/103257 103257-21806685@events.umich.edu Event Begins: Wednesday, February 8, 2023 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:

Most disease associated genomic variants have relatively modest effects on target gene expression in reporter or CRISPR perturbation assays. In addition, enhancer disruption in vivo often has surprisingly weak phenotypic consequences. I will present machine learning (ML) methods (gkm-SVM and DNN) which we use to learn the complex transcription factor combinations that control enhancer activity and cell fate. I will then use these methods to develop a quantitative model for enhancer activity which shows that while promoter knockdown has robust effects on target gene expression, individual enhancer knockdown is often weaker and affects temporal transition dynamics, but not the final steady state. This model provides an explanation of the paradox of how enhancer variation can be strongly associated with disease risk while having individually weak effects, by showing in detail how gene regulatory networks control developmentally important and disease relevant cell state transitions and cancer.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Lecture / Discussion Wed, 11 Jan 2023 15:44:58 -0500 2023-02-08T16:00:00-05:00 2023-02-08T17:00:00-05:00 Palmer Commons DCMB Seminar Series Lecture / Discussion Michael A. Beer, Ph.D., M.A.
CPOD Seminar: “Principles of tissue dynamics and functions captured by live imaging” Valentina Greco, PhD (Yale) (February 28, 2023 4:00pm) https://events.umich.edu/event/98540 98540-21808764@events.umich.edu Event Begins: Tuesday, February 28, 2023 4:00pm
Location: Off Campus Location
Organized By: Center for Cell Plasticity and Organ Design

Tuesday, February 28, 2023 4:00 pm
Center for Cell Plasticity and Organ Design presents:

Valentina Greco, PhD
Carolyn Walch Slayman Professor of Genetics
Yale University
Lab Website: http://www.grecolab.org/


Seminar entitled: “Building robust stem cell systems recapitulating human axial patterning and growth”

In-Person: BSRB ABC Seminar Rooms
Zoom Meeting Option ID: 980 6995 9033
Pass: 2763

Faculty Host:
Pierre A. Coulombe, Ph.D.
G. Carl Huber Professor and Chair
Department of Cell and Developmental Biology

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Lecture / Discussion Tue, 31 Jan 2023 10:24:54 -0500 2023-02-28T16:00:00-05:00 2023-02-28T17:00:00-05:00 Off Campus Location Center for Cell Plasticity and Organ Design Lecture / Discussion Greco
DCMB / CCMB Weekly Seminar Series (March 22, 2023 4:00pm) https://events.umich.edu/event/105990 105990-21813376@events.umich.edu Event Begins: Wednesday, March 22, 2023 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract is forthcoming.

Bio:
As the Vice President of R&D - Biologics, Dr. Lakmal Jayasinghe oversees all biological research and development projects at Oxford Nanopore. Lakmal joined ONT in 2006 after finishing his PhD in chemical biology in the University of Oxford. During his PhD in the Hagan Bayley group, Lakmal has studied different nanopores and has gained a wealth of knowledge in engineering nanopores using genetic and chemical approaches. His responsibilities at ONT include improving the readout signal of ONT platforms by upgrading its current nanopore reader and motor, as well as discovering new versions of nanopores, motors and chemistries to suit various ONT applications including protein sequencing. Lakmal also works with many academic collaborators across the world to ensure that Oxford Nanopore uses the best possible biological components and chemistries in its platforms.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Lecture / Discussion Thu, 09 Mar 2023 09:29:41 -0500 2023-03-22T16:00:00-04:00 2023-03-22T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion Dr. Lakmal Jayasinghe, VP – R&D Biologics at Oxford Nanopore Technologies plc, UK
DCMB Weekly Seminar (March 29, 2023 4:00pm) https://events.umich.edu/event/106625 106625-21814590@events.umich.edu Event Begins: Wednesday, March 29, 2023 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:
In 1996, Dr. Shilatifard identified the biochemical function of the Mixed Lineage Leukemia (MLL) gene translocation partner for the first time. The translocation partner, a gene called ELL, encodes an elongation factor: a protein that controls when, where and how fast the RNA Polymerase II transcription machinery can “read out” the instructions encoded in our genes. This discovery began a scientific journey to better understand elongation factors and other transcriptional control mechanisms, both in embryonic development and in cancer. Taking you along on this journey, Dr. Shilatifard will describe how he isolated all of the other MLL translocation partners in a “tour de force” application of biochemistry and molecular genetics, resulting in the astounding finding that these seemingly unrelated proteins actually function together within the (now widely known) Super Elongation Complex (SEC). In further research, the SEC emerged as a central factor regulating gene transcription at the elongation stage, and the lab has developed chemical compounds to disrupt or inhibit the Super Elongation Complex that are now in pre-clinical studies for the treatment of cancers caused by transcriptional defects. The story continues with his lab’s current research investigating how elongation factors, chromatin and the epigenome control transcription in human development and disease.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

Bio:
Dr. Ali Shilatifard, Chairman and Professor of Biochemistry and Molecular Genetics and Professor of Pediatrics at Northwestern University Feinberg School of Medicine in Chicago, graduated from Kennesaw State University in 1989 with a degree in Chemistry with an emphasis in Organic Chemistry. While at KSU, Shilatifard slept in his car at night for a period in front of the gym and worked all over the campus from bussing tables at the student center, to cooking in the back kitchen, serving as the dispatch for the Kennesaw State College police department, and working as a TA in the Chemistry lab and Math lab to support himself and his education. He was supported by a full academic scholarship by KSU after his first year and graduated in four years. Now, Shilatifard is a renowned biochemist and cancer biologist. He made a seminal contribution to the field of leukemia biology early in his career by identifying the function of a gene translocation in childhood leukemia for the first time. In the 25 years since that discovery, he has dedicated his career to revealing the causes of childhood leukemia and other cancers and to leveraging these findings for the development of new cancer therapies. He currently runs an active research laboratory, heads a large department while he also is the Director of the Simpson Querrey Institute for Epigenetics. Shilatifard has authored over 250 scientific publications and is one of the founding members and is the current Editor of the online publication, Science Advances. He is one of the few scientists in the United States funded by the National Cancer Institute’s Outstanding Investigator Award, and in an effort to inspire young students to consider the STEM fields, he and his wife Laura started the Simpson Querrey Inspire Program.

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Lecture / Discussion Thu, 23 Mar 2023 09:13:22 -0400 2023-03-29T16:00:00-04:00 2023-03-29T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion Dr. Ali Shilatifard, Northwestern University Feinberg School of Medicine in Chicago
DCMB Weekly Seminar (April 5, 2023 4:00pm) https://events.umich.edu/event/106871 106871-21814955@events.umich.edu Event Begins: Wednesday, April 5, 2023 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

ABSTRACT:

Genomic rearrangements, also known as structural variations (SVs), are large scale alterations that changes the DNA structure. They include deletions, duplications, insertions, and other forms that are accompanied by copy number changes as well as inversions, translocations, and other copy-neutral forms. They are an important type of variation, affecting an order of magnitude more base pairs than single nucleotide variations (SNVs) in normal human population. In cancer, several chromosomal translocations have been identified and subsequently became targets of successful treatments. However, the functional impact of genomic rearrangements and their roles in treatment response are largely unexplored. We are developing new computational methods and exploring large scale cancer omics data to infer the mutational mechanisms leading to these alterations, to identify potential disease-driving events, and to study how they affect treatments.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Tue, 28 Mar 2023 12:21:44 -0400 2023-04-05T16:00:00-04:00 2023-04-05T17:00:00-04:00 Palmer Commons DCMB Seminar Series Livestream / Virtual
DCMB / CCMB Weekly Seminar (April 12, 2023 4:00pm) https://events.umich.edu/event/107182 107182-21815596@events.umich.edu Event Begins: Wednesday, April 12, 2023 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:

From the initial genetic patterning to the assembly of the whole embryo, how ordered structures form has always been a fundamental question in developmental biology. The recent advances in imaging technologies are now providing us with direct visual access to the development of whole organisms in unprecedented detail. However, it is clear that to make the best use of this complex data, we need the help of computer algorithms that can mine it for biologically relevant information, summarize and then visualize it for us. The first project I will present focuses on the mechanisms driving the development of diverse 3D bone morphologies in mice. There, we developed algorithms to analyze micro-CT images to deconstruct the final morphology of each bone into the contributions made by remodeling of mineralized tissue vs. the cartilaginous growth plates. This allowed us to demonstrate the central role of the growth plate in 3D bone morphogenesis in normal and pathological development. The second project aims to understand how different cell activities contribute to large-scale morphogenetic movements. To this end, we generated the first whole embryo single-cell atlas of morphogenetic activity underlying gastrulation in the fruit fly, then used these maps to derive a statistical model associating cell shape changes and rearrangements to body axis elongation.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

Areas of Interest:

My lab focuses on understanding how cells organize to form various tissue morphologies during normal and pathological development. We use two model systems to achieve this: the musculoskeletal system in mice and whole embryo development in fruit flies. Our approach centers on the development of cutting-edge bioimage informatics and data science algorithms to analyze the dynamics and the underlying patterns in developing tissues through 3D and 4D (3D+time) fluorescence images.

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Lecture / Discussion Tue, 04 Apr 2023 09:15:53 -0400 2023-04-12T16:00:00-04:00 2023-04-12T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion
DCMB / CCMB Weekly Seminar (September 20, 2023 4:00pm) https://events.umich.edu/event/111904 111904-21827870@events.umich.edu Event Begins: Wednesday, September 20, 2023 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:
Large datasets of single-cell gene expression and cellular morphology provide an exciting opportunity to learn predictive models of cellular properties. Replicating the remarkable successes of generative AI models for vision and language in the cellular domain would be highly significant for biomedical science. In this talk, I will present three examples of how generative AI can predict key properties of cells, including their dynamics during differentiation, their responses to perturbation, and their morphological shapes.

Short bio:
Joshua Welch is an Associate Professor of Computational Medicine and Bioinformatics at the University of Michigan. He earned his PhD in Computer Science from the University of North Carolina in 2017 and performed postdoctoral research at the Broad Institute of Harvard and MIT before starting at the University of Michigan in 2018. His team develops computational approaches for single-cell and spatial transcriptomic data analysis with applications to stem cell reprogramming and neuroscience. His work has been funded by the National Institutes of Health and the Chan Zuckerberg Initiative.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Lecture / Discussion Fri, 08 Sep 2023 10:03:47 -0400 2023-09-20T16:00:00-04:00 2023-09-20T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion
DCMB / CCMB Weekly Seminar (September 27, 2023 11:00am) https://events.umich.edu/event/111213 111213-21826246@events.umich.edu Event Begins: Wednesday, September 27, 2023 11:00am
Location: Palmer Commons
Organized By: DCMB Seminar Series

ABSTRACT:
DNA methylation is essential for mammalian embryonic and post-natal development. Mutations in the de novo DNA methyltransferase DNMT3A, which is expressed as two isoforms, DNMT3A1 and DNMT3A2, cause abnormal brain development in children and clonal hematopoiesis in older individuals. Additionally, DNA methylation patterns are profoundly altered in all human cancers in the absence of mutations in the components of the methylation machinery. We have discovered that a large majority of human tumors overexpress the DNMT3A2 isoform and have determined the cryo-EM structure of this isoform together with its non-catalytically active accessory protein, DNMT3B3 bound to a nucleosome. Unexpectedly, the heterotetrameric complex binds to the acidic patch present on all nucleosomes raising questions as to how specificity of methylation is obtained. The mechanisms responsible for the generation of altered DNA methylation patterns in all human cancers are not understood. We have found profound alterations in the ratios of DNMT3A2 to DNMT3B3 which might be partially responsible for these changes. I will also discuss the development of new drugs and combinations to target abnormal methylation in cancer and present results of small clinical trials in patients to test these approaches.

BIO:
Peter Jones was born in Cape Town, raised and attended college in Rhodesia (now Zimbabwe), and received his Ph.D. from the University of London. He joined the University of Southern California in 1977, attaining the rank of Professor in 1985 and Distinguished Professor in 1999. He served as Director of the USC Norris Comprehensive Cancer Center between 1993 and 2011. Dr. Jones became Chief Scientific Officer of Van Andel Institute (VAI) in Grand Rapids, Michigan in 2014. His laboratory discovered the effects of 5 azacytidine on cytosine methylation and first established the link between DNA methylation, gene expression and differentiation. He helped pioneer the field of epigenetics, particularly its role in cancer, and helped develop novel cancer therapies. He has published more than 300 scientific papers and received several honors, including two Outstanding Investigator Awards from the NCI. He and Stephen Baylin shared the Kirk Landon Award for Basic Cancer Research from the AACR in 2009 and the Medal of Honor from the American Cancer Society in 2011. Dr. Jones is a past President of the American Association for Cancer Research (AACR) and was elected a Fellow of the American Association for the Advancement of Science in 2009 and a Fellow of the Academy of the AACR in 2013. He was elected a member of the National Academy of Sciences of the USA in 2016, the American Academy of Arts and Sciences in 2017 and received an honorary D.Sc. from Stellenbosch University in 2018.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Lecture / Discussion Wed, 30 Aug 2023 16:02:05 -0400 2023-09-27T11:00:00-04:00 2023-09-27T12:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion