The December Papers with Technical Advances are here: https://wiki.flybase.org/wiki/FlyBase:Papers_with_technical_advances#Dec_2025. Don’t forget to flag when you Fast-Track Your Paper if you want your paper with a new technique, reagent, or resource featured next month.
EyaHOST, a modular genetic system for investigation of intercellular and tumor-host interactions in Drosophila melanogaster. (Cell Rep Methods)
This technique allows the systematic investigation of any EAD RasV12; scribRNAi tumour/host interaction in vivo for large scale screenings and detailed epistasy analysis
https://pubmed.ncbi.nlm.nih.gov/41192417
Revealing the nervous system requirements of Alzheimer disease risk genes in Drosophila. (Am. J. Hum. Genet.)
We characterized loss-of-function phenotypes and brain expression patterns of 100 conserved Alzheimer’s disease risk genes. We found dozens with previously unknown roles in brain structure (histology), function (electroretinograms), and stress resilience (heat, bang sensitivity).
https://pubmed.ncbi.nlm.nih.gov/41167194
Distinct circuit motifs evaluate opposing innate values of odors. (Cell)
Developed a method to comprehensively record the activity of neurons in the lateral horn and other brain regions using calcium imaging, optogenetic cell-labelling, and image processing.
https://pubmed.ncbi.nlm.nih.gov/40967216
DLK orchestrates a modular transcriptional response to axon injury with separate roles for Fos and Jun. (PLoS Genet.)
We generated the following new genetic resources for studying axon injury responses in Drosophila neurons: a. CRISPR/Cas9 knock-in alleles tagging the endogenous fos and jun loci with mNeonGreen b. UAS-Fos split-YFP construct for BiFC assay
https://pubmed.ncbi.nlm.nih.gov/41325467
opynfield: An Open-Source Python Package for the Analysis of Open Field Exploration Data. (Neuroinformatics)
The paper provides a new modeling approach to understanding the behavior of gene networks and designing an approach to controlling network movement from one stable state to another.
https://pubmed.ncbi.nlm.nih.gov/41369722
Extrinsic Noise or Intrinsic Coupling: Dissecting Correlated Fluctuations in Gene Transcription. (Phys. Rev. Letts)
We develop a new noise decomposition framework based on a theoretical model of stochastic transcription for an intrinsically coupled gene pair under fluctuating environments.
https://pubmed.ncbi.nlm.nih.gov/41349069
Alternative Vertebrate and Invertebrate Model Organisms Show Similar Sensitivity as Rodents to a Diverse Set of Chemicals. (Environ. Sci. Technol.)
This study describes the effects of 72 chemicals on viability of adult Oregon-R male and females.