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X-WR-CALNAME:Institute for Quantitative and Computational Biosciences
X-ORIGINAL-URL:https://qcb.ucla.edu
X-WR-CALDESC:Events for Institute for Quantitative and Computational Biosciences
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DTSTART;TZID=America/Los_Angeles:20220209T120000
DTEND;TZID=America/Los_Angeles:20220209T123000
DTSTAMP:20260517T201017
CREATED:20211207T223237Z
LAST-MODIFIED:20220209T224539Z
UID:20086-1644408000-1644409800@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Apeksha Singh (Hoffmann)\, Graduate Student in Biomathematics
DESCRIPTION:TITLE: “Characterizing distinct cell states based on stimulus-response dynamics.” \nABSTRACT: Macrophages show remarkable functional pleiotropy that is dependent on microenvironmental context.  Prior studies have characterized how polarizing cytokines alter epigenetic or signaling mechanisms\, but how they affect specific macrophage functions has not been characterized systematically.  One hallmark function of macrophages is to mount immune-threat appropriate responses\, in part via the signaling dynamics of transcription factor NFκB.  Here\, we measured single-cell nuclear NFκB trajectories in macrophages polarized into 6 states and stimulated with 8 different stimuli resulting in a vast dataset.  Linear Discriminant Analysis revealed how NFκB signaling codons compose the immune threat level of stimuli\, placing polarization states along a linear continuum between the M1/M2 dichotomy.  Machine learning classification revealed losses of stimulus distinguishability with polarization\, which reflect a switch from sentinel to effector functions.  However\, the stimulus response dynamics and discrimination patterns did not fit the M1/M2 continuum.  Instead\, our analysis suggests macrophage functional niches within a multi-dimensional polarization landscape.\n\nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/12/Apeksha-Singh-Edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-apeksha-singh-hoffmann-graduate-student-in-biomathematics/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/12/Apeksha-Singh-1.png
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DTSTART;TZID=America/Los_Angeles:20220209T123000
DTEND;TZID=America/Los_Angeles:20220209T130000
DTSTAMP:20260517T201017
CREATED:20211209T230759Z
LAST-MODIFIED:20220209T224043Z
UID:20138-1644409800-1644411600@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Richard Law (Park)\, Graduate Student in Chemical and Biomolecular Engineering
DESCRIPTION:TITLE: “Quantitative flux analysis reveals redistribution of glycolytic pathways in dynamic nutrient environments.” \nABSTRACT: Optimal operation of metabolic fluxes is critical for an organism to be evolutionarily competitive. Textbook glycolysis is a conserved pathway that optimally utilizes carbohydrates for growth. However\, it is unclear why some organisms simultaneously possess the parallel Entner-Doudoroff (ED) pathway\, which has a lower bioenergetic yield. By integrating stable isotope tracing\, mass spectrometry\, and mathematical modeling\, we measure fluxes of these pathways in near-real time. Here\, we identify the benefits of the ED pathway under transitory environments. We utilized these tools for flux analysis to study central carbon metabolism in dynamic nutrient conditions. Specifically\, we hypothesized that parallel pathways enable cells to rapidly upshift their overall glycolytic flux to benefit growth in response to sudden nutrient availability. Our studies revealed that parallel yet specialized pathways enable dynamic redistribution of metabolic fluxes that are linked to rapid changes in metabolism and broader biological phenotypes.\nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/12/Richard-Law-Edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-richard-law-park-graduate-student-in-chemical-and-biomolecular-engineering/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/12/Richard-Law-.jpg
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