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Lear, B. C.

Publications and source records attributed to Lear, B. C..

3 recordsLinked to original sources

DROSOPHILA PRICKLE MUTANTS DISPLAY COMORBID NEUROLOGICAL PHENOTYPES AND PROVIDE A GENETIC LINK BETWEEN EPILEPSY AND AUTISM SPECTRUM DISORDER

Epilepsy affects approximately 30% of individuals with autism spectrum disorder (ASD). Consistent with these observations, while PRICKLE mutations are primarily linked with epilepsy, there is an enrichment of pathogenic DNA sequence variants in PRICKLE genes carried by individuals with ASD. Nonetheless, a connection between PRICKLE function and ASD warrants further investigation. Here, we show that a seizure-prone Drosophila prickle mutant (prickle-spiny-legs, or pksple) exhibits learning and memory deficits, increased pain sensitivity, both communication and social interaction difficulties, and restrictive repetitive grooming behaviors, all of which are strongly correlated with ASD, while a non-seizure prone prickle mutant (prickle-prickle, or pkpk) does not, thereby providing a direct genetic connection between epilepsy and ASD through prickle. Comparing headed versus headless pksple mutants, we also show that the excessive grooming requires higher level cognitive processing from the brain. Finally, both pksple and pkpk mutants exhibit circadian rhythm defects, another feature correlated with ASD, as well as distinct yet overlapping neurological anomalies in processes that include innate immune response, oxidative stress response, neuronal cell death, neurodegeneration, motor dysfunction and reduced lifespan, likely reflecting the unique isoform expression patterns observed in the developing CNS. Collectively, this study highlights the broadscale effects of PRICKLE mutations that extend beyond the primary clinical features of epilepsy to include several of the core features of ASD.

neuroscience↗

Binding profiles for 954 Drosophila and C. elegans transcription factors revealtissue specific regulatory relationships

A catalog of transcription factor (TF) binding sites in the genome is critical for deciphering regulatory relationships. Here we present the culmination of the modERN (model organism Encyclopedia of Regulatory Networks) consortium that systematically assayed TF binding events in vivo in two major model organisms, Drosophila melanogaster (fly) and Caenorhabditis elegans (worm). We describe key features of these datasets, comprising 604 TFs identifying 3.6M sites in the fly and 350 TFs identifying 0.9 M sites in the worm. Applying a machine learning model to these data identifies sets of TFs with a prominent role in promoting target gene expression in specific cell types. TF binding data are available through the ENCODE Data Coordinating Center and at https://epic.gs.washington.edu/modERNresource, which provides access to processed and summary data, as well as widgets to probe cell type-specific TF-target relationships. These data are a rich resource that should fuel investigations into TF function during development.

genomics↗

SleepMat: A New Behavioral Analysis Software Program for Sleep and Circadian Rhythms

Drosophila is a premier model for the study of circadian rhythms and sleep, revealing molecular mechanisms that are conserved with vertebrates, including humans. The Drosophila Activity Monitoring (DAM) system has been employed for automated, high throughput analyses, enabling measures of a wide range of measures of circadian and sleep, including period, rhythmicity, anticipation, sleep amount, bout length, and bout number. Yet there are no publicly available programs that capture the full breadth of these measures. Here we develop a new program SleepMat that analyzes a uniquely broader range of circadian and sleep parameters. The program is built on a Matlab platform, employs an easy-to-use graphic user interface, and is highly flexible to customize data inputs. This program will enable a user-friendly high throughput analysis of a broad range of sleep and circadian parameters that can be coupled to the power of Drosophila genetics.

bioinformatics↗