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DTSTAMP:20231115T115130
DTSTART;TZID=America/Detroit:20231129T160000
DTEND;TZID=America/Detroit:20231129T170000
SUMMARY:Lecture / Discussion:Weekly DCMB / CCMB Seminar featuring Xiaojie Qiu (incoming Assist. Prof. at Stanford)
DESCRIPTION:Abstract:\n\nSingle-cell RNA-seq\, together with RNA velocity and metabolic labeling\, reveals cellular states and transitions at unprecedented resolution. Fully exploiting these data\, however\, requires kinetic models capable of unveiling governing regulatory functions. In the first part of my talk\, I will introduce an analytical framework dynamo (https://github.com/aristoteleo/dynamo-release) and highlight dynamo's power to overcome fundamental limitations of conventional splicing-based RNA velocity analyses to enable accurate velocity estimations on a metabolically labeled human hematopoiesis scRNA-seq dataset. Furthermore\, differential geometry analyses reveal mechanisms driving early megakaryocyte appearance and elucidate asymmetrical regulation within the PU.1-GATA1 circuit. Leveraging the least-action-path method\, dynamo accurately predicts drivers of numerous hematopoietic transitions. Finally\, in silico perturbations predict cell-fate diversions induced by gene perturbations. Dynamo\, thus\, represents an important step in advancing quantitative and predictive theories of cell-state transitions. Cells do not live in a vacuum\, but in a milieu defined by cell–cell communication that can be quantified via recent advances in spatial transcriptomics. In my second section of my talk\, I will talk about Spateo\, a general framework for quantitative spatiotemporal modeling of single-cell resolution spatial transcriptomics. Spateo develops a comprehensive framework of cell-cell interaction to reveal spatial effects of niche factors and cell type-specific ligand-receptor interactions. Furthermore\, Spateo reconstructs 3D models of whole embryos\, and performs 3D morphometric analyses. Lastly\, Spateo introduces the concept of \"morphometric vector field\" of cell migrations and integrates spatial differential geometry to unveil regulatory programs underlying various organogenesis patterns of Drosophila and mouse. Thus\, Spateo enables the study of the ecology of organs at a molecular level in 3D space\, beyond isolated single cells. Moving forward\, my lab will try to integrate advances in machine learning and advances in genomics to learn spatially and temporally resolved models of cell fate transition at whole mouse embryo level in 3D space.\n\nhttps://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09
UID:115262-21834337@events.umich.edu
URL:https://events.umich.edu/event/115262
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Human Genetics,Talk,Structural Biology,seminar,Science,Research,Public Health,Precision Health,Physics,Michigan Engineering,Medicine,Mathematics,Life Science,Lecture,Learning Health Systems,Information and Technology,Graduate Students,Free,Engineering,Electrical Engineering and Computer Science,Education,Discussion,Chemistry,Cardiovascular,Biosciences,Biomedical Engineering,Biology,Basic Science
LOCATION:Palmer Commons - Forum Hall
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20231127T112202
DTSTART;TZID=America/Detroit:20231129T160000
DTEND;TZID=America/Detroit:20231129T172000
SUMMARY:Workshop / Seminar:Who Are the Hand-to-Mouth?
DESCRIPTION:Many households hold little wealth. In standard precautionary savings models these households should not only display higher marginal propensities to consume (MPCs)\, but also higher future consumption growth. In contrast\, we see from the PSID that such “hand-to-mouth” households do not display higher growth in spending. They also exhibit greater volatility of spending and adjust their spending to a greater extent through the number of categories consumed. Consistent with a role for preference heterogeneity\, the panel data show that it is persistent differences across households\, not current assets\, that predict low consumption growth and other spending differences for the hand-to-mouth households. To identify the extent of preference heterogeneity\, we consider the model of Kaplan and Violante (2014) with both liquid and illiquid assets\, but allow heterogeneity in preferences. To match the data\, many poor hand-to-mouth must be relatively impatient and have a high inter-temporal elasticity of substitution (IES). The model shows that preferences predominantly explain the higher MPCs for low-asset households. Preference heterogeneity notably increases the spending impact of fiscal transfers\, but only if targeted\, while reducing that from interest rate cuts.\n\n\nThis talk is presented by the Macroeconomics Seminar\, sponsored by the Department of Economics with generous gifts given through the Michael Beauregard Fund for Macroeconomics and the Economics Strategic Fund.
UID:115488-21834914@events.umich.edu
URL:https://events.umich.edu/event/115488
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Economics,Macroeconomics,seminar
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20231026T121710
DTSTART;TZID=America/Detroit:20231129T163000
DTEND;TZID=America/Detroit:20231129T183000
SUMMARY:Performance:Voice Department Recital
DESCRIPTION:Students from the Department of Voice perform a recital.
UID:114509-21832990@events.umich.edu
URL:https://events.umich.edu/event/114509
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:North Campus,Music,Free
LOCATION:Earl V. Moore Building - Britton Recital Hall
CONTACT:
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