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1.
Neuropharmacology ; 110(Pt A): 343-361, 2016 11.
Article in English | MEDLINE | ID: mdl-27334657

ABSTRACT

Neurotrophin (NT) receptors are coupled to numerous signaling networks that play critical roles in neuronal survival and plasticity. Several non-peptide small molecule ligands have recently been reported that bind to and activate specific tropomyosin-receptor kinase (Trk) NT receptors, stimulate their downstream signaling, and cause biologic effects similar to, though not completely overlapping, those of the native NT ligands. Here, in silico screening, coupled with low-throughput neuronal survival screening, identified a compound, LM22B-10, that, unlike prior small molecule Trk ligands, binds to and activates TrkB as well as TrkC. LM22B-10 increased cell survival and strongly accelerated neurite outgrowth, superseding the effects of brain-derived neurotrophic factor (BDNF), NT-3 or the two combined. Additionally, unlike the NTs, LM22B-10 supported substantial early neurite outgrowth in the presence of inhibiting glycoproteins. Examination of the mechanisms of these actions suggested contributions of the activation of both Trks and differential interactions with p75(NTR), as well as a requirement for involvement of the Trk extracellular domain. In aged mice, LM22B-10 activated hippocampal and striatal TrkB and TrkC, and their downstream signaling, and increased hippocampal dendritic spine density. Thus, LM22B-10 may constitute a new tool for the study of TrkB and TrkC signaling and their interactions with p75(NTR), and provides groundwork for the development of ligands that stimulate unique combinations of Trk receptors and activity patterns for application to selected neuronal populations and deficits present in various disease states.


Subject(s)
Cell Survival/drug effects , Neuronal Outgrowth/drug effects , Neurons/drug effects , Neuroprotective Agents/pharmacology , Animals , Brain-Derived Neurotrophic Factor/metabolism , Cell Survival/physiology , Corpus Striatum/cytology , Corpus Striatum/drug effects , Corpus Striatum/metabolism , HEK293 Cells , Hippocampus/cytology , Hippocampus/drug effects , Hippocampus/metabolism , Humans , Male , Mice , Mice, Inbred C57BL , NIH 3T3 Cells , Neuronal Outgrowth/physiology , Neurons/cytology , Neurons/metabolism , Rats , Receptor, trkB/agonists , Receptor, trkB/genetics , Receptor, trkB/metabolism , Receptor, trkC/agonists , Receptor, trkC/genetics , Receptor, trkC/metabolism , Receptors, Nerve Growth Factor/genetics , Receptors, Nerve Growth Factor/metabolism
2.
Evolution ; 70(4): 887-902, 2016 Apr.
Article in English | MEDLINE | ID: mdl-26947264

ABSTRACT

The extent to which convergent adaptation to similar ecological niches occurs by a predictable genetic basis remains a fundamental question in biology. Threespine stickleback fish have undergone an adaptive radiation in which ancestral oceanic populations repeatedly colonized and adapted to freshwater habitats. In multiple lakes in British Columbia, two different freshwater ecotypes have evolved: a deep-bodied benthic form adapted to forage near the lake substrate, and a narrow-bodied limnetic form adapted to forage in open water. Here, we use genome-wide linkage mapping in marine × benthic F2 genetic crosses to test the extent of shared genomic regions underlying benthic adaptation in three benthic populations. We identify at least 100 Quantitative Trait Loci (QTL) harboring genes influencing skeletal morphology. The majority of QTL (57%) are unique to one cross. However, four genomic regions affecting eight craniofacial and armor phenotypes are found in all three benthic populations. We find that QTL are clustered in the genome and overlapping QTL regions are enriched for genomic signatures of natural selection. These findings suggest that benthic adaptation has occurred via both parallel and nonparallel genetic changes.


Subject(s)
Adaptation, Physiological/genetics , Chromosome Mapping , Quantitative Trait Loci , Smegmamorpha/genetics , Animals , Biological Evolution , British Columbia , Crosses, Genetic , Genetic Linkage , Lakes , Phenotype , Selection, Genetic
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