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Supplement Figure 2. Mitochondria isolated from ZR-75-1 cells and assayed for PRODH activity by NADH induction to compare three propargyl- analogs with N-PPG for potential PRODH inhibitory activity.

Supplement Figure 1. Mitochondria isolated from ZR-75-1 cells and assayed for PRODH activity assessed by either P5C production (A) or substrate inducing NADH formation (B), with use of NADH bioassay to compare PRODH inhibitor effects (C, D).

To demonstrate that the oral N-PPG treatment (treated flies in Suppl. Fig 3B panel A) phenocopies the Sluggish-A phenotype of SlgA null mutant flies as previously described (18), geotaxis of untreated SlgA mutant flies is video illustrated (right tube) and compared to that of untreated wildtype flies (left tube).

Legend for Supplementary videos S1A and S1B

Supplement Figure 3. Confocal images of control and N-PPG treated ZR-75-1 cell cultures show absence of mitochondrial membrane recruitment of PINK/PARKIN complex (A), despite positive induction of mitochondrial GRP-75 import (B), within 24 h of N-PPG treatment.

Advanced hepatic fibrosis, driven by the activation of hepatic stellate cells (HSCs), affects millions worldwide and is the strongest predictor of mortality in nonalcoholic steatohepatitis (NASH); however, there are no approved antifibrotic therapies. To identify antifibrotic drug targets, we integrated progressive transcriptomic and morphological responses that accompany HSC activation in advanced disease using single-nucleus RNA sequencing and tissue clearing in a robust murine NASH model. In advanced fibrosis, we found that an autocrine HSC signaling circuit emerged that was composed of 68 receptor-ligand interactions conserved between murine and human NASH. These predicted interactions were supported by the parallel appearance of markedly increased direct stellate cell-cell contacts in murine NASH. As proof of principle, pharmacological inhibition of one such autocrine interaction, neurotrophic receptor tyrosine kinase 3–neurotrophin 3, inhibited human HSC activation in culture and reversed advanced murine NASH fibrosis. In summary, we uncovered a repertoire of antifibrotic drug targets underlying advanced fibrosis in vivo. The findings suggest a therapeutic paradigm in which stage-specific therapies could yield enhanced antifibrotic efficacy in patients with advanced hepatic fibrosis. This is all of the human data samples and analysis for the paperAn autocrine signaling circuit in hepatic stellate cells underlies advanced fibrosis in nonalcoholic steatohepatitis. GEO data here: GSE212837 The folderliver_data_cellranger_all.zipcontains the raw and filtered cellranger output for every sample. This allows reprocessing of all cells including the use of methods that use empty droplets to calculate ambient RNA. The folderAutocrine_liver_paper_jupyter_notebooks.zipcontains all of the notebooks used for analysis: Autocrine_signaling_liver_data_merge_all_select_celltype_subsets.ipynb is the initial noteboook for processing all datasets and merging. It also contains in the first cell instructions for creating a conda environment that will allow all of the tools to run. There are 5 notebooks for qc and cleaning of each celltype: Autocrine_signaling_liver_data_Stellate_cell_recluster.ipynb,Autocrine_signaling_liver_data_Hepatocyte_cell_recluster.ipynb, Autocrine_signaling_liver_data_Endo_cell_recluster.ipynb,Autocrine_signaling_liver_data_Cholangiocyte_cell_recluster.ipynb, and Autocrine_signaling_liver_data_NKTcell_cell_recluster.ipynb There is a final notebook for re-merging the cleaned celltype objects and final clustering, DE and analysis:Autocrine_signaling_liver_data_recluster_all_cleaned_celltypes_analysis.ipynb The fileraw_all_cellranger.h5ad.gzis all cells passing cellranger filter annotated with celltype and ambient RNA and doublet scoring, but otherwise no cells or genes have been removed. The foldercelltype_subsets_v1.zipcontains the roughly filtered celltypes for each of the celltypes. The foldercleaned_celltype_subsets_for_merge.zipcontains the final qc'd and filtered celltypes that are merged for final analysis. It also contains the final merged and batch normalized object. The python scriptcellphone_db_liver_all_cells_clean.pycontains a script for running cellphoneDB on final data.

Aging is the single largest risk factor for most chronic diseases, and thus possesses large socioeconomic interest to continuously aging societies. Consequently, the field of aging research is expanding alongside a growing focus from the industry and investors in aging research. This year's 8th Annual Aging Research and Drug Discovery (ARDD) meeting was organized as a hybrid meeting from August 30th to September 3rd 2021 with more than 130 attendees participating on-site at the Ceremonial Hall at University of Copenhagen, Denmark, and 1800 engaging online. The conference comprised of presentations from 75 speakers focusing on new research in topics including mechanisms of aging and how these can be modulated as well as the use of AI and new standards of practices within aging research. This year, a longevity workshop was included to build stronger connections with the clinical community., Aging, 14 (2), ISSN:1945-4589