The Impact of Autonomous and Controlled Sexting Motivations on Subjective Well-being and Relationship Quality.

Although many studies have examined reasons for sexting among young people, few have taken into account the underlying motivations associated with different reasons and how that may be associated with divergent positive or negative outcomes. This study addressed this gap by employing Self-determination Theory to assess how autonomous and controlled motivations for sexting were related to subjective well-being and relationship quality among emerging adults. Online survey data from 267 emerging adults (72 men, 195 women) ages 18-25 who had sent sexually explicit images or videos of themselves through electronic means to a committed partner were analyzed using Structural Equation Modeling. Autonomous and controlled motivations for sexting were significantly related to pleasant affect, with autonomous motivation predicting more pleasant affect and controlled motivation predicting less pleasant affect. Autonomous motivations for sexting were related to enhanced relationship quality, whereas controlled motivations for sexting were related to decreased relationship quality. Neither form of motivation had a statistically significant relationship with unpleasant affect or life satisfaction. These results demonstrate that the quality of motivations for sexting among emerging adults in committed relationships may contribute to different outcomes, particularly in terms of relationship quality. Implications for counselors, educators, and practitioners working with emerging adults who sext are discussed.

Online Learning is a Rollercoaster: Postsecondary Students With Learning Disabilities Navigate the COVID-19 Pandemic.

Most of what researchers know about the challenges students with learning disabilities (LDs) experience during postsecondary education is based on experiences during face-to-face learning on campus. Less is known about challenges students with LD face during learning online-the mode of instruction students had to navigate during the COVID-19 pandemic. Therefore, the purpose of our research was to examine the lived experience of undergraduate students with LD during their first full semester of online instruction as a result of the pandemic. We interviewed six students in Western Canada and used a phenomenological approach to analyze their experiences. Overall, we extracted six main themes from their interviews. Two of these themes, (a) the broad impact of having LD and (b) accommodations during COVID-19, were specific to being a student with LD. The remaining four themes were more generally related to their overall student experience: (c) online learning is different, (d) the role of others, (e) emotional impact, and (f) resilience and perseverance. We discuss these results in terms of recommendations for future research and teaching in online learning environments.

Dynamic neurotransmitter specific transcription factor expression profiles during Drosophila development.

The remarkable diversity of neurons in the nervous system is generated during development, when properties such as cell morphology, receptor profiles and neurotransmitter identities are specified. In order to gain a greater understanding of neurotransmitter specification we profiled the transcription state of cholinergic, GABAergic and glutamatergic neurons in vivo at three developmental time points. We identified 86 differentially expressed transcription factors that are uniquely enriched, or uniquely depleted, in a specific neurotransmitter type. Some transcription factors show a similar profile across development, others only show enrichment or depletion at specific developmental stages. Profiling of Acj6 (cholinergic enriched) and Ets65A (cholinergic depleted) binding sites in vivo reveals that they both directly bind the ChAT locus, in addition to a wide spectrum of other key neuronal differentiation genes. We also show that cholinergic enriched transcription factors are expressed in mostly non-overlapping populations in the adult brain, implying the absence of combinatorial regulation of neurotransmitter fate in this context. Furthermore, our data underlines that, similar to Caenorhabditis elegans, there are no simple transcription factor codes for neurotransmitter type specification.This article has an associated First Person interview with the first author of the paper.

Loss of miR-203 regulates cell shape and matrix adhesion through ROBO1/Rac/FAK in response to stiffness.

Breast tumor progression is accompanied by changes in the surrounding extracellular matrix (ECM) that increase stiffness of the microenvironment. Mammary epithelial cells engage regulatory pathways that permit dynamic responses to mechanical cues from the ECM. Here, we identify a SLIT2/ROBO1 signaling circuit as a key regulatory mechanism by which cells sense and respond to ECM stiffness to preserve tensional homeostasis. We observed that Robo1 ablation in the developing mammary gland compromised actin stress fiber assembly and inhibited cell contractility to perturb tissue morphogenesis, whereas SLIT2 treatment stimulated Rac and increased focal adhesion kinase activity to enhance cell tension by maintaining cell shape and matrix adhesion. Further investigation revealed that a stiff ECM increased Robo1 levels by down-regulating miR-203. Consistently, patients whose tumor expressed a low miR-203/high Robo1 expression pattern exhibited a better overall survival prognosis. These studies show that cells subjected to stiffened environments up-regulate Robo1 as a protective mechanism that maintains cell shape and facilitates ECM adherence.

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3.

We describe a new computer program, SnpEff, for rapidly categorizing the effects of variants in genome sequences. Once a genome is sequenced, SnpEff annotates variants based on their genomic locations and predicts coding effects. Annotated genomic locations include intronic, untranslated region, upstream, downstream, splice site, or intergenic regions. Coding effects such as synonymous or non-synonymous amino acid replacement, start codon gains or losses, stop codon gains or losses, or frame shifts can be predicted. Here the use of SnpEff is illustrated by annotating ~356,660 candidate SNPs in ~117 Mb unique sequences, representing a substitution rate of ~1/305 nucleotides, between the Drosophila melanogaster w(1118); iso-2; iso-3 strain and the reference y(1); cn(1) bw(1) sp(1) strain. We show that ~15,842 SNPs are synonymous and ~4,467 SNPs are non-synonymous (N/S ~0.28). The remaining SNPs are in other categories, such as stop codon gains (38 SNPs), stop codon losses (8 SNPs), and start codon gains (297 SNPs) in the 5'UTR. We found, as expected, that the SNP frequency is proportional to the recombination frequency (i.e., highest in the middle of chromosome arms). We also found that start-gain or stop-lost SNPs in Drosophila melanogaster often result in additions of N-terminal or C-terminal amino acids that are conserved in other Drosophila species. It appears that the 5' and 3' UTRs are reservoirs for genetic variations that changes the termini of proteins during evolution of the Drosophila genus. As genome sequencing is becoming inexpensive and routine, SnpEff enables rapid analyses of whole-genome sequencing data to be performed by an individual laboratory.

Cloning the human vitamin D receptor into the pTwin-1 expression vector.

Many of the actions of 1alpha,25-dihydroxyvitamin D3 [1,25(OH)2D3] are mediated by binding to the nuclear vitamin D receptor (VDR). VDR is a member of a superfamily of nuclear receptors that are ligand-dependent transcription factors. Ligand binding induces conformational changes in the VDR that enable the receptor to interact with other coactivators to modulate gene transcription. In order to better characterize the binding of the VDR to 1,25(OH)2D3 and to analogs of 1,25(OH)2D3, we have cloned the cDNA for the human VDR into the pTwin1 expression system. The expression system results in the cDNA for a chitin-binding peptide and a yeast intein fused in frame with the N-terminal end of the cDNA for VDR. The intein cDNA codes for a self-cleaving peptide that can release VDR, without any additional amino acids, from a chitin column by changing the pH of the buffer. Western blot analysis of the VDR-fusion protein indicates that a protein of approximately 75 kDA was obtained as expected.