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DTSTART;TZID=Europe/Madrid:20181116T100000
DTEND;TZID=Europe/Madrid:20181116T110000
DTSTAMP:20260425T052500
CREATED:20181004T075934Z
LAST-MODIFIED:20181030T112433Z
UID:61884-1542362400-1542366000@ibecbarcelona.eu
SUMMARY:IBEC Seminar: Benedetta Bolognesi
DESCRIPTION:The mutational landscape of a prion-like domain\nBenedetta Bolognesi\, IBEC\nAt least 70 human RNA-binding proteins (RBPs) contain a prion-like domain (PrLD). PrLDs are low complexity domains which resemble in composition the infectious yeast prions. Mutations in PrLDs are associated to the onset of many neurodegenerative conditions\, such as Amyotrophic Lateral Sclerosis (ALS). PrLDs are able to populate multiple physical states: diffuse\, liquid de-mixed\, insoluble amyloid. Pathological mutations affect these equilibria in ways we cannot yet fully understand\, or predict. The TAR DNA binding protein TDP-43 contains a 140 aa long PrLD and forms cytoplasmic aggregates in most cases of ALS. We use deep mutational scanning to understand how sequence determines the toxicity of TDP-43 in a yeast model. I will present the first “genotype-to-phenotype” map of TDP-43 where we quantify the effect of all possible amino acid substitutions in the PrLD on cellular fitness. While allowing us to understand the impact of mutations within low-complexity regions\, these data provide the basis to understand by which mechanism protein inclusions drive pathogenesis. \n 
URL:https://ibecbarcelona.eu/event/ibec-seminar-new-junior-group-leader-benedetta-bolognesi/
LOCATION:IBEC\, floor 11\, Tower I\, Baldiri Reixac 4-8\, 08028 Barcelona\, Spain
CATEGORIES:IBEC Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20181116T100000
DTEND;TZID=Europe/Madrid:20181116T110000
DTSTAMP:20260425T052500
CREATED:20181004T075934Z
LAST-MODIFIED:20181004T075934Z
UID:96320-1542362400-1542366000@ibecbarcelona.eu
SUMMARY:IBEC Seminar: Benedetta Bolognesi
DESCRIPTION:The mutational landscape of a prion-like domain\nBenedetta Bolognesi\, IBEC\nAt least 70 human RNA-binding proteins (RBPs) contain a prion-like domain (PrLD). PrLDs are low complexity domains which resemble in composition the infectious yeast prions. Mutations in PrLDs are associated to the onset of many neurodegenerative conditions\, such as Amyotrophic Lateral Sclerosis (ALS). PrLDs are able to populate multiple physical states: diffuse\, liquid de-mixed\, insoluble amyloid. Pathological mutations affect these equilibria in ways we cannot yet fully understand\, or predict. The TAR DNA binding protein TDP-43 contains a 140 aa long PrLD and forms cytoplasmic aggregates in most cases of ALS. We use deep mutational scanning to understand how sequence determines the toxicity of TDP-43 in a yeast model. I will present the first “genotype-to-phenotype” map of TDP-43 where we quantify the effect of all possible amino acid substitutions in the PrLD on cellular fitness. While allowing us to understand the impact of mutations within low-complexity regions\, these data provide the basis to understand by which mechanism protein inclusions drive pathogenesis. \n 
URL:https://ibecbarcelona.eu/event/ibec-seminar-new-junior-group-leader-benedetta-bolognesi-2/
LOCATION:IBEC\, floor 11\, Tower I\, Baldiri Reixac 4-8\, 08028 Barcelona\, Spain
CATEGORIES:IBEC Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20181123T100000
DTEND;TZID=Europe/Madrid:20181123T110000
DTSTAMP:20260425T052500
CREATED:20181004T075739Z
LAST-MODIFIED:20181004T075739Z
UID:61880-1542967200-1542970800@ibecbarcelona.eu
SUMMARY:IBEC Seminar: Rubén Moreno-Bote
DESCRIPTION:Aligned neuronal encoding of sensory information\, biases and choices in perceptual decision making\nRubén Moreno-Bote\, Serra Hunter Associate Professor\, UPF\nIdentifying what aspects of neuronal population activity are relevant for the encoding of information and choices is a crucial step toward understanding the neural code. Several statistical features of the neuronal population responses\, such as tuning\, synchronization and global activity could affect the amount of information encoded and modulate behavioral performance. Here we show\, however\, that only two of these features correlate wtih information: the length of the vector joining the mean responses across conditions and the inverse trial-by-trial variability of the responses projected along that vector. We find that modulations of the two statistical features are correlated with fluctuations of behavioral performance in various tasks. In contrast\, modulations in mean correlations among neurons and global activity have negligible or no consistent effects on information encoding and behavioral performance. These results suggest that the neuronal representation of sensory information and choices are aligned. Interestingly\, we also find that harmful\, intrinsically generated behavioral biases are aligned with the choice representation in neuronal populations in the prefrontal cortex. I will describe a recently published sequential theory of decision making that could explain why these variables are represented along aligned axes in neuronal activity space. \n 
URL:https://ibecbarcelona.eu/event/ibec-seminar-ruben-moreno-bote/
LOCATION:IBEC\, floor 11\, Tower I\, Baldiri Reixac 4-8\, 08028 Barcelona\, Spain
CATEGORIES:IBEC Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20181123T100000
DTEND;TZID=Europe/Madrid:20181123T110000
DTSTAMP:20260425T052500
CREATED:20181004T075739Z
LAST-MODIFIED:20181004T075739Z
UID:96317-1542967200-1542970800@ibecbarcelona.eu
SUMMARY:IBEC Seminar: Rubén Moreno-Bote
DESCRIPTION:Aligned neuronal encoding of sensory information\, biases and choices in perceptual decision making\nRubén Moreno-Bote\, Serra Hunter Associate Professor\, UPF\nIdentifying what aspects of neuronal population activity are relevant for the encoding of information and choices is a crucial step toward understanding the neural code. Several statistical features of the neuronal population responses\, such as tuning\, synchronization and global activity could affect the amount of information encoded and modulate behavioral performance. Here we show\, however\, that only two of these features correlate wtih information: the length of the vector joining the mean responses across conditions and the inverse trial-by-trial variability of the responses projected along that vector. We find that modulations of the two statistical features are correlated with fluctuations of behavioral performance in various tasks. In contrast\, modulations in mean correlations among neurons and global activity have negligible or no consistent effects on information encoding and behavioral performance. These results suggest that the neuronal representation of sensory information and choices are aligned. Interestingly\, we also find that harmful\, intrinsically generated behavioral biases are aligned with the choice representation in neuronal populations in the prefrontal cortex. I will describe a recently published sequential theory of decision making that could explain why these variables are represented along aligned axes in neuronal activity space. \n 
URL:https://ibecbarcelona.eu/event/ibec-seminar-ruben-moreno-bote-2/
LOCATION:IBEC\, floor 11\, Tower I\, Baldiri Reixac 4-8\, 08028 Barcelona\, Spain
CATEGORIES:IBEC Seminar
END:VEVENT
END:VCALENDAR