Ariel K. Frame

@arielframe.bsky.social

BSc Biology || PhD Neuroscience || Postdoc with Andrew Lin @andrewclin.bsky.social at University of Sheffield @sheffielduni.bsky.social || Drosophila, aging, learning and memory, neurobiology. Host: linktr.ee/quitecurious bit.ly/ArielFrame_GoogleScholar

Selecting an effect size for power analysis is hard. Many researchers fall back on Cohen's thresholds, but they have no empirical basis and vary wildly by field. Our new paper offers a better option: field-specific effect size distributions built from meta-analytic data doi.org/10.3758/s134...

Abstract
Effect sizes are useful for understanding the magnitude of study results and for planning new studies via power analysis.
However, despite their wide usage, effect sizes are often misinterpreted. This is mostly due to an over-reliance on general
effect size benchmarks that were not intended for broad application across diverse research fields. Inaccurate effect size
interpretations can lead to incorrect conclusions about the magnitude of study results and incorrect sample size estimates,
thereby increasing the likelihood of false-positive results. This article introduces the ESDist R package, which is designed
to calculate empirically derived effect-size benchmarks or a range of reliably detectable empirical effect sizes for a specific
research question or field of interest by computing effect size distributions (ESDs). This package can be used on data that
can be easily extracted from pre-existing meta-analyses to help researchers more accurately plan new studies or to better
understand how an individual study might relate to other studies in their field. ESDist includes a set of features that make it
easy to use in a priori power analysis. Moreover, the package includes a feature for estimating effect size benchmarks that
account for publication bias and are weighted by effect sizes' variances, which addresses existing limitations of using ESDs
for study planning or interpretation.

Sounds like a very useful new method to me! I’m always intrigued by new and improved balancers too. I think I might even go ahead and order your new 4th balancer from @bdsc.bsky.social now! BDSC #90851 + #90852

We tested the general utility of this marker by constructing a new fourth chromosome balancer by insertion of GMR-eya(shRNA) into the gat gene on the fourth chromosome. This balancer, GATeya, has a morphological phenotype more robust and easier to score than existing fourth chromosome balancers, and is also much healthier than the commonly used CiD balancer. Stocks of the new balancer have been deposited at the Bloomington Drosophila Stock Centre (GATeya/CiD, BDSC #90852; GATeya/CrkdsRed, BDSC #90851).
Fillip Port@crisprflydesign.bsky.social · 4mo ago

Chasing donor backbone insertions in #CRISPR knock-in experiments is a great way to waste an afternoon (or more), unless you use a dominant marker. We like this one from the Carthew lab, in which animals containing the backbone have degenerated eyes: www.tandfonline.com/doi/full/10.... #Drosophila

Image of two fly heads. The left one has normal eyes, while in the right one the eye is degenerated. Eye degeneration is caused by eye specific expression of a RNAi construct against eyes absent (eya), an essential gene for eye morphogenesis. The eya RNAi construct is located on the vector backbone of the donor plasmid that was used in this CRISPR knock-in experiment.

Beyond delighted to share our amazing collaboration with Thierry Alquier's lab @alquierthierry.bsky.social on a conserved role for neuronal lipid droplets in regulating energy homeostasis in vivo led by Celena Cherian, Romane Manceau, Danie Majeur, and Colin Miller www.nature.com/articles/s42... /1

Neuronal lipid droplets play a conserved and sex-biased role in maintaining whole-body energy homeostasis - Nature Metabolism

In vivo regulation of neuronal lipid droplet formation mediates whole-body energy homeostasis in a sex-specific manner in Drosophila and mice.

nature.com

Aging may feel gradual… but what if it’s not? In our recent paper, we tracked fish continuously from puberty until death. This gave us a unique view of how aging unfolds across the adult lifespan. 🧵

Very cool! Useful tool for #Drosophila folks. Would be great adopted by whole labs / institutions. Considering it's newness, add features? Tinkering & I don't yet see: 1) Retrospective dating / bulk stock flipping 2) Stock acquisition date 3) Column sort by chromosome 4) Reference usage citation

flyroom.net@flyroom.net · 5mo ago

We just launched flyRoom — modern web-based stock management for Drosophila labs. No more spreadsheets, no more messy labels, no more lost stocks. Free to start, built by researchers for researchers. www.flyroom.net

Quick plug for our new resource, the Drosophila Species Stock Exchange. This is a database and mailing list that documents species currently in culture and the labs holding them. If you want to know more or sign up then please get in touch. See attached for more info and please share!

Bild

Thank you so much for generating these lines! Exciting new tools for #drosophila optogenetic activation of the Gal4 UAS system! Drosophilists rejoice: here’s the list of lines->

Bild
Alex Gould Lab@alexgouldlab.bsky.social · 5mo ago

#Drosophila calling. Delighted to share our new collection of ShineGAL4 drivers for CNS, FB, muscles, enterocytes, oenocytes and MTs made by @vgirard.bsky.social, @sebsorge.bsky.social and colleagues @crick.ac.uk. All at Bloomington @bdsc.bsky.social @dev-journal.bsky.social tinyurl.com/4jpw9jd6

ShineGAL4 FLP-out clones

This is a superb explanation of why we age from an evolutionary perspective, packed full of fun animal examples! It makes clear that evolution *did* optimise for lifespan (why wouldn’t it?), and that implies intervening in aging might not be that hard…

Why we age

Three categories of explanations exist for why we age: mechanistic theories, which omit reference to evolutionary forces; weakening force of selection theories, which posit that barriers exist that p...

onlinelibrary.wiley.com