Journal: bioRxiv

Article Title: Sensory-motor integration in a nonspiking interneuron contributes to active sensor control in Drosophila

doi: 10.64898/2026.04.16.718965

Figure Lengend Snippet: A) Schematic depicting JONs projecting through the antennal nerve and synapsing onto APN2 cells (gold dashed box) in the ipsilateral hemisphere of the central brain. Inset shows expression pattern of the genetic driver line labeling APN2 ( 24C06-GAL4) . Scale bar is 20 µm. B) During whole cell patch clamp recordings, antennal movements were recorded by a lateral camera and flight activity was monitored using an optical wingbeat detector. C) Example video frame with 2 tracked points and the relative direction of antenna angle deflections. Deflections down towards the head are represented as negative values, and deflections up and away from the head as positive values. D) Example single-trial traces showing antennal and APN2 activity during quiescence (left) and flight (right). Wing movement was detected using an infrared light sensor. E) Each dot is the average response of one APN2 cell. Black bars indicate the average across APN2 cells for each condition, with respective SEM error bars. Grey dashed lines pair measurements from the same cell during flight and quiescence. Across flies, the average APN2 membrane potential is reduced during bouts of flight compared to quiescence, both when the antennae are free (paired t-test; p = 0.037) and when the antennae are glued (Wilcoxon Signed-Rank Test; p = 0.014).

Article Snippet: We used 6-11 MΩ thick-walled glass pipettes (Item #1B150F-3, World Precision Instruments) for whole cell patch clamp recordings, which we pulled using a Sutter P-1000 puller.

Techniques: Expressing, Labeling, Patch Clamp, Activity Assay, Membrane

Journal: bioRxiv

Article Title: Temporal AI model predicts drivers of cell state trajectories across human aging

doi: 10.64898/2026.03.30.715396

Figure Lengend Snippet: ( A ) Predicted impact of in silico inhibition vs. slope of expression change across human aging for genes in cardiac fibroblasts. ( B ) Concordant genes whose inhibition was predicted to be rejuvenating were upregulated across aging, and vice versa. ( C ) Predicted impact of in silico inhibition of genes across the indicated cardiac cell types. ( D ) Beta-gal staining and cell counts quantifying senescence of primary human cardiac capillary endothelial cells in response to predicted pro-aging perturbation of ZBTB16 inhibition. *p<0.05, Wilcoxon rank sums, n=4. ( E ) Predicted impact of in silico perturbation and expression change across human aging and in telomere-shortened mice in each cardiac cell type for top predicted cardiomyocyte age-modulating targets. ( F ) PCA plot and ( G ) differential gene expression heatmap of transcriptional response (measured by bulk RNA sequencing) to predicted pro-aging perturbations (AAV overexpression of indicated genes vs. GFP) in human iPSC-derived cardiomyocytes. p<0.05, Wald test with BH correction, n=4. ( H ) Gene set enrichment of genes differentially expressed in response to all predicted pro-aging perturbations in human iPSC-derived cardiomyocytes (hypergeometric test with g:Set Counts and Sizes (g:SCS) correction). ( I ) Slowed calcium cycle kinetics and ( J ) rhythm irregularities in response to predicted pro-aging perturbations (AAV overexpression of indicated genes vs. GFP) in human iPSC-derived cardiomyocytes. *p<0.05, Wilcoxon rank sums with BH correction. Rhythm n=10, time to peak n=180, 111, 139, 37, 237, 150, 191 (bars left to right), decay n=169, 30, 86, 11, 213, 105, 172 (bars left to right). ( K ) Differential gene expression heatmap of transcriptional response (measured by bulk RNA sequencing) to predicted pro-aging perturbations (AAV overexpression of indicated genes vs. GFP) in human iPSC-derived cardiomyocytes or human primary cardiac fibroblasts where dysregulation of the given gene was statistically significant across all four conditions. Statistical significance of differential expression: p<0.05, Wald test with BH correction, n=4. Statistical significance of overlap of shared dysregulation between the four conditions: p<0.05, one-sided binomial test. RASG.=RASGEF1B. ( L ) Beta-gal staining quantifying senescence of primary human cardiac fibroblasts in response to predicted pro-aging perturbations (AAV overexpression of indicated genes). *p<0.05, Wilcoxon rank sums with BH correction, empty n=6, P4HA1 and RASGEF1B n=4. ( M ) Schematic of in vivo validation experiment. o/e=overexpression. ( N ) In vivo systolic function echocardiographic measurements at 6 weeks post-AAV9 injection. EF: GFP n=8, P4ha1 n=10, Rasgef1b n=10; GLS: GFP n=8, P4ha1 n=9, Rasgef1b n=8. *p<0.05 one-way ANOVA with multiple hypothesis correction.

Article Snippet: Human cardiac capillary endothelial cells were purchased from PromoCell (C-12285) and cultured in endothelial basal medium (EBM, CC-3121, Lonza) supplemented with 10% fetal bovine serum (10100147, Gibco).

Techniques: In Silico, Inhibition, Expressing, Staining, Gene Expression, RNA Sequencing, Over Expression, Derivative Assay, Quantitative Proteomics, In Vivo, Biomarker Discovery, Injection