Biology subjects

Wagner, B. K.

Publications and source records attributed to Wagner, B. K..

4 recordsLinked to original sources

bioRxiv2022

Reference compounds for characterizing cellular injury in high-content cellular morphology assays

Robust, generalizable approaches to identify compounds efficiently with undesirable mechanisms of action in complex cellular assays remain elusive. Such a process would be useful for hit triage during high-throughput screening and, ultimately, predictive toxicology during drug development. We generated cell painting and cellular health profiles for 218 prototypical cytotoxic and nuisance compounds in U-2 OS cells in a concentration-response format. A diversity of compounds causing cellular damage produced bioactive cell painting morphologies, including cytoskeletal poisons, genotoxins, nonspecific electrophiles, and redox-active compounds. Further, we show that lower quality lysine acetyltransferase inhibitors and nonspecific electrophiles can be distinguished from more selective counterparts. We propose that the purposeful inclusion of cytotoxic and nuisance reference compounds such as those profiled in this Resource will help with assay optimization and compound prioritization in complex cellular assays like cell painting.

pharmacology and toxicology↗

bioRxiv2020

Predicting compound activity from phenotypic profiles and chemical structures

Recent advances in deep learning enable using chemical structures and phenotypic profiles to accurately predict assay results for compounds virtually, reducing the time and cost of screens in the drug-discovery process. We evaluate the relative strength of three high-throughput data sources--chemical structures, images (Cell Painting), and gene-expression profiles (L1000)--to predict compound activity using a sparse historical collection of 16,170 compounds tested in 270 assays for a total of 585,439 readouts. All three data modalities can predict compound activity with high accuracy in 6-10% of assays tested; replacing million-compound physical screens with computationally prioritized smaller screens throughout the pharmaceutical industry could yield major savings. Furthermore, the three profiling modalities are complementary, and in combination they can predict 21% of assays with high accuracy, and 64% if lower accuracy is acceptable. Our study shows that, for many assays, predicting compound activity from phenotypic profiles and chemical structures might accelerate the early stages of the drug-discovery process.

bioinformatics↗

bioRxiv2019

A conjugation platform for CRISPR-Cas9 allows efficient β-cell engineering

Genetically fusing protein domains to Cas9 has yielded several transformative technologies; however, these fusions are polypeptidic, limited to the Cas9 termini and lack multivalent display, and exclude diverse array of molecules. Here, we report a platform for the site-specific and multivalent display of a wide assortment of molecules on both the termini and internal sites on Cas9. Using this platform, we endow Cas9 with the functionality to effect precision genome edits, which involves efficient incorporation of exogenously supplied single-stranded oligonucleotide donor (ssODN) at the break site. We demonstrate that the multivalent display of ssODN on Cas9 significantly increased precision genome edits over those of Cas9 bearing one or no ssODN, and such display platform is compatible with large oligonucleotides and rapid screening of ssODNs. By hijacking the insulin secretion machinery and leveraging the ssODN display platform, we successfully engineer pancreatic {beta} cells to secrete protective immunomodulatory factor interleukin-10.\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC=\"FIGDIR/small/732354v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (30K):\norg.highwire.dtl.DTLVardef@48a34aorg.highwire.dtl.DTLVardef@d886d0org.highwire.dtl.DTLVardef@17acc61org.highwire.dtl.DTLVardef@fffe44_HPS_FORMAT_FIGEXP M_FIG TOC GRAPHIC C_FIG

synthetic biology↗

bioRxiv2018

HIF-2α drives an intrinsic vulnerability to ferroptosis in clear cell renal cell carcinoma

Kidney cancers are characterized by extensive metabolic reprogramming and resistance to a broad range of anti-cancer therapies. By interrogating the Cancer Therapeutics Response Portal compound sensitivity dataset, we show that cells of clear-cell renal cell carcinoma (ccRCC) possess a lineage-specific vulnerability to ferroptosis that can be exploited by inhibiting glutathione peroxidase 4 (GPX4). Using genome-wide CRISPR screening and lipidomic profiling, we reveal that this vulnerability is driven by the HIF-2-HILPDA pathway by inducing a polyunsaturated fatty acyl (PUFA)-lipid-enriched cell state that is dependent on GPX4 for survival and susceptible to ferroptosis. This cell state is developmentally primed by the HNF-1{beta}-1-Acylglycerol-3-Phosphate O-Acyltransferase 3 (AGPAT3) axis in the renal lineage. In addition to PUFA metabolism, ferroptosis is facilitated by a phospholipid flippase TMEM30A involved in membrane topology. Our study uncovers an oncogenesis-associated vulnerability, delineates the underlying mechanisms and suggests targeting GPX4 to induce ferroptosis as a therapeutic opportunity in ccRCC.\n\nHIGHLIGHTSO_LIccRCC cells exhibit strong susceptibility to GPX4 inhibition-induced ferroptosis\nC_LIO_LIThe GPX4-dependent and ferroptosis-susceptible state in ccRCC is associated with PUFA-lipid abundance\nC_LIO_LIThe HIF-2-HILPDA axis promotes the selective deposition of PUFA-lipids and ferroptosis susceptibility\nC_LIO_LIAGPAT3 selectively synthesizes PUFA-phospholipids and primes renal cells for ferroptosis\nC_LI

cancer biology↗