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Functional perturbation reveals context-dependent contributions of nuclear receptors to drug-induced hepatic steatosis.

Drug-induced hepatic steatosis is mediated by diverse molecular mechanisms, yet several nuclear receptors have been proposed as molecular initiating events or early key events within adverse outcome pathways for hepatic steatosis. However, direct functional evidence supporting these mechanistic roles in human-relevant experimental systems remains limited. The present study evaluated the contribution of selected nuclear receptors to drug-induced hepatic steatosis using complementary human hepatic in vitro models. Stable short hairpin RNA-mediated knockdown of individual nuclear receptors was established in HepG2 and differentiated HepaRG cells, followed by exposure to representative steatogenic drugs, including valproic acid, amiodarone, tamoxifen, and rifampicin. In parallel, primary human hepatocyte spheroids were used to compare drug-induced lipid accumulation with direct pharmacological activation of individual nuclear receptor pathways. While depletion of multiple nuclear receptors markedly affected oleic acid-induced lipid accumulation, drug-induced steatogenic responses exhibited predominantly selective and compound-specific receptor dependencies. In differentiated HepaRG cells, nuclear receptor depletion influenced basal lipid homeostasis more strongly than valproic acid-induced lipid accumulation. Conversely, direct activation of liver X receptor and peroxisome proliferator-activated receptors α and γ in primary human hepatocyte spheroids induced robust lipid accumulation, whereas most steatogenic drugs produced comparatively modest responses. These findings demonstrate that the contribution of individual nuclear receptors to drug-induced hepatic steatosis is highly compound- and context-dependent and cannot be explained by a single conserved receptor pathway. This study provides functional evidence from complementary human-relevant hepatic models that supports refinement of hepatic steatosis adverse outcome pathways and highlights the value of targeted perturbation strategies for mechanistic toxicology.

Adverse outcome pathway, HepaRG

Lipid domains in biological membranes: their structural and functional perturbation by free fatty acids and the regulation of receptor mobility. Co-presidential address.

We have studied the interaction of free fatty acids (FFAs) with cell membranes and lipid bilayers by monitoring changes in the emission polarization of the fluorescent probes diphenylhexatriene (DPH) and anilino-naphthalene sulfonate (ANS). We found that the FFAs readily intercalate into membranes and produce significant changes in the packing of the lipid molecules. The membrane alterations could be divided into two patterns: the cis-unsaturated FFAs (designated Group A) disorder the membranes' interior (as reported by DPH) and order the head group region (as reported by ANS); the trans-unsaturated or saturated FFAs (Group B) do not alter the bilayer interior but also order the head group region. Using solution theory, the shift in transition midpoint temperatures as a function of fatty acid type was used to infer that the Group A FFAs partition into fluid domains, while Group B FFAs partition preferentially into gel-like domains. These results are explained in terms of a domain model of membrane lipid structure. Low concentrations of Group A FFAs inhibit the capping of surface immunoglobulin (Ig), whereas no effect was seen with Group B FFAs. The capping inhibition caused by Group A FFAs was reversible with increasing doses of extracellular calcium. Fluorescence photobleaching recovery showed that the Group A FFAs do not inhibit receptor immobilization associated with patch formation but rather inhibit the final energy-dependent movement of the patched receptors into a cap. We have also shown that the Group A FFAs cause a shift in membrane-bound calcium to the lipid phase from probably protein calcium-binding sites. The data have generated a model of receptor mobility invoking a trans-membrane, calcium-binding, receptor-anchoring protein, linked to the cytoskeleton. Inhibition of capping by Group A FFAs is postulated to be due to perturbation of specific lipid domains associated with this protein, such perturbation leading to conformational changes in the protein, and consequent intramembraneous calcium sequestration in the lipid phase, rendering the calcium unavailable for activation of the cytoskeleton.

Calcium-Binding Proteins

Towards efficient perturbation for the noncoding genome.

Deciphering the functionality of the noncoding genome, which includes important cis-regulatory elements (CREs) and transcribed noncoding RNA genes, remains technically challenging. Here, using massively parallel genetic screening, we systematically benchmark the performance of five representative loss-of-function perturbation tools, including single-guide RNA (gRNA) mediated SpCas9 cleavage or CRISPR interference, and paired gRNA (pgRNA) involved dual-SpCas9, Big Papi (paired SpCas9 and SaCas9) or dual-enAsCas12a fragment deletion methods, in decoding the roles of the noncoding genome. For targeting CREs such as enhancers, dual-SpCas9 outperforms other methods with superior efficiency in destroying functional genomic regions. For perturbing noncoding RNA genes, in addition to dual-SpCas9, other RNA-targeting methods such as RNA interference are recommended to discriminate transcript-dependent or -independent roles. A deep learning model, DeepDC, with an associated web server, is built to facilitate optimal dual-SpCas9 pgRNA design for efficiently deleting a genomic fragment. Together, our work provides practical guidance on selecting appropriate loss-of-function tools to resolve the functional complexity of the noncoding genome.

CRISPR-Cas Systems

Spindle Assembly Checkpoint Competency Determines Sensitivity to KIF18A Inhibition in Small-Cell Lung Cancer.

BACKGROUND: Small-cell lung cancer (SCLC) is characterized by pervasive chromosomal instability (CIN) and remains largely refractory to targeted therapies. KIF18A, a motor protein that regulates chromosome alignment during mitosis, has emerged as a selective dependency in CIN-high tumors. Whether this dependency extends to SCLC, a prototypical CIN-high cancer, has not been established, and biomarkers predicting response to KIF18A inhibition, currently in clinical trials, are lacking. METHODS: We integrated analyses of patient tumor datasets, neuroendocrine (NE) and non- NE SCLC cell lines, and functional perturbation models to define the determinants of response to KIF18A inhibition. Chromosomal instability metrics, transcriptional programs, mitotic dynamics, and spindle assembly checkpoint (SAC) function were assessed using genomic profiling, live-cell imaging, genetic perturbation, and pharmacologic inhibition. RESULTS: KIF18A expression was elevated in SCLC tumors and correlated with CIN-associated transcriptional programs, proliferative markers, and NE status; however, these features did not predict sensitivity to KIF18A inhibition. Instead, response was determined by the functional integrity of the SAC. SAC-proficient SCLC cells underwent sustained mitotic arrest followed by apoptotic cell death upon KIF18A inhibition, whereas SAC-defective cells failed to maintain checkpoint activation and survived. Mechanistically, resistant cells exhibited impaired kinetochore recruitment of core SAC components, including MAD1 and BUBR1. Importantly, transient induction of acute CIN through MPS1 inhibition partially restored sensitivity to KIF18A inhibition in resistant models. CONCLUSIONS: This study provides the first mechanistic characterization of KIF18A dependency in SCLC, identifying SAC competency as the primary determinant of response. These findings establish a biologically informed framework for patient stratification and rational combination strategies. TRANSLATIONAL RELEVANCE: Small-cell lung cancer (SCLC) is an aggressive malignancy with few effective targeted therapies and marked chromosomal instability. KIF18A has emerged as a potential therapeutic target in genomically unstable cancers, but biomarkers predicting response to KIF18A inhibition are lacking. We demonstrate that sensitivity to KIF18A inhibition in SCLC is determined not by KIF18A expression, neuroendocrine subtype, or baseline chromosomal instability, but by the functional integrity of the spindle assembly checkpoint (SAC). SCLC cells with intact SAC signaling undergo sustained mitotic arrest and apoptosis upon KIF18A inhibition, whereas SAC-defective cells bypass checkpoint activation and survive aberrant mitosis. Notably, transient induction of acute chromosomal instability through MPS1 inhibition partially restores sensitivity in resistant models. Together, these findings identify mitotic checkpoint competency as a mechanistic determinant and candidate predictive biomarker for KIF18A-targeted therapies, providing a biologically informed framework for patient stratification and rational combination strategies relevant to ongoing KIF18A inhibitor clinical trials.

Journal Article

Control of stiffness by the medium latency electromyographic response to limb perturbation.

It is hypothesized that the medium latency electromyographic (EMG) response (ML) to limb perturbation functions to preset limb stiffness to a constant initial level. Three predictions are derived from this hypothesis: Firstly, in the presence of an instruction calling for opposition to limb perturbation, a control signal, ML, will be observed and will lead to the establishment of a constant level of limb stiffness. Secondly, in the absence of an instruction to oppose, no control signal will be observed and correspondingly a constant stiffness will not be generated. Thirdly, the latency of onset of stiffness control will covary with the latency of onset of ML. These predictions were tested in experiments involving perturbation of the human forearm about the elbow joint, with surface EMG measurements and computation of the limb stiffness function. The results are in accord with these predictions, and support the hypothesis that ML functions in the feedforward control of limb stiffness.

Adult

Genome-wide identification and expression profiling of HSD3B and SDR42E1 genes in the Pacific oyster (Crassostrea gigas): potential associations with gonadal development.

Sex steroids are lipid-soluble signaling molecules that regulate sex differentiation, reproductive development and physiological homeostasis in animals. 3β-Hydroxysteroid dehydrogenase/Δ5-Δ4 isomerase (3β-HSD) is a key steroidogenic enzyme, whereas SDR42E1, an extended short-chain dehydrogenase/reductase, has been implicated in sterol- and steroid-related metabolism. However, the composition, evolutionary relationships and expression patterns of the HSD3B- and SDR42E1-related genes in bivalve gonadal development remain poorly characterized. In this study, five PF01073-containing genes, comprising three CgHsd3b and two CgSdr42e1 genes, were identified in the Pacific oyster Crassostrea gigas. Phylogenetic analysis separated the proteins into HSD3B-related and SDR42E1-related groups, and gene-structure and motif analyses indicated subfamily-level divergence. All five proteins retained the SDR domain but differed in exon-intron structure and motif composition. Each contained the extended-SDR TGxxGxxG motif, whereas exact classical [ST]GxxxGxG and NNAG motifs were absent. Tyr- and Lys-equivalent residues were conserved, while the HSD3B1 Ser-equivalent position contained Thr in two C. gigas proteins and Ser in one. These features support their classification as extended-SDR proteins but do not establish enzymatic activity or substrate specificity. The three CgHsd3b genes were dispersed on one chromosome, whereas CgSdr42e1-1 and CgSdr42e1-2 were adjacent on another chromosome, suggesting a possible local duplication event for the CgSdr42e1 pair. Public RNA-seq data showed distinct tissue- and gonadal-stage expression patterns, with several genes displaying gonad-biased or female-stage-associated expression. Independent RT-qPCR profiling of the representative genes CgHsd3b-3 and CgSdr42e1-1 detected stage-dependent expression, although tissue rankings differed from those in the public RNA-seq datasets. These differences may reflect the use of independent biological samples, tissue composition, normalization procedures, and platform-specific measurements. Because enzymatic assays, metabolite measurements, cellular localization, and functional perturbation were not performed, the results identify candidate genes whose expression is associated with gonadal development rather than demonstrating regulatory roles. This study provides a comparative framework for future functional investigation of sterol- and steroid-related metabolism in bivalves.

Animals

A Phosphoproteomic Platform Identifies Erythrocyte Membrane Protein Band 4.1-Like 3-Mediated Lipid Droplet Remodeling Linked to Liver Cancer Invasion and Migration.

Aberrant lipid metabolism is a hallmark of hepatocellular carcinoma (HCC), yet the regulatory mechanisms governing lipid droplet (LD) dynamics and their contribution to tumor progression remain poorly understood. Here, we developed an ultrasensitive phosphoproteomic platform using high-affinity HPDA@Ti4+ nanospheres to map LD-associated phosphorylation events across six HCC cell lines. By correlating phosphoproteomic signatures with LD morphology, we identified distinct regulatory signatures associated with LD size and abundance. Functional perturbation screens identified two distinct phosphoprotein modules controlling LD size: silencing SH3KBP1, SLK, EHD2, EPB41L3, and NEXN reduced LD size in Huh1 cells, whereas silencing CPD, BET1, UFL1, RRP1B, OGFR, and CD2BP2 enlarged LDs in Huh7 cells. Notably, we identified EPB41L3 as a critical metabolic-metastatic link; its loss decreased LD size and accelerated HCC migration and invasion, correlating with poor clinical prognosis. Crucially, we identified five key phosphorylation sites on EPB41L3 essential for its function; substituting these with alanine completely abolished its regulatory control over both LD size and HCC metastatic potential. Together, these findings delineate a phosphorylation-based regulatory network controlling the LD architecture and metastatic potential in HCC. Our study not only identifies potential therapeutic targets but also establishes a generalizable phosphoproteomic framework for interrogating lipid signaling in cancer metabolism.

Humans

Spatial scaling of metagenomic diversity reveals ecological disruption in the gut microbiome of gout patients.

Gout, a painful inflammatory arthritis, is characterized by hyperuricemia and monosodium urate crystal deposition, with growing evidence linking its pathogenesis to gut microbiome dysbiosis. However, traditional diversity metrics fail to capture the complex spatial organization of microbial communities. This study addresses this gap by applying the novel metagenomic Diversity-Area Relationship (m-DAR) model to investigate scaling laws in the gout microbiome-quantifying how metagenomic diversity changes with the number of individuals sampled. Our analysis of gut microbiomes from gout patients and healthy controls revealed fundamental ecological disruptions. We found that gout microbiomes exhibited significantly altered scaling patterns: they showed greater inter-individual dissimilarity (higher z-values) at the level of rare genes (q = 0), but weaker scaling of dominant genes (q = 1-3) compared to healthy controls. Crucially, the maximal accrual diversity (MAD) was substantially lower in gout patients, indicating a severely constrained potential for total microbial gene diversity. Furthermore, profiling of metagenomic functional gene clusters (MFGCs) uncovered widespread functional perturbations, including increased diversity scaling for carbohydrate-active enzymes (CAZy) but decreased scaling in essential metabolic pathways (KEGG, KO). These results demonstrate that the gout gut microbiome is defined by a loss of ecological structure, featuring reduced homogeneity in dominant taxa, expanded rare biosphere variation, and an overall collapsed diversity capacity. This work introduces an ecological framework for characterizing dysbiosis in gout that complements traditional diversity metrics and may inform the development of microbiome-based therapeutic strategies. Further research is needed to translate these ecological patterns into clinical applications.

Humans

Hemoglobin Djelfa beta98 (FG 5) Val leads to Ala: isolation and functional properties of the heme saturated form.

Hemoglobin Djelfa beta98 (FG 5) Val leads to Ala is a neutrally substituted unstable hemoglobin, exhibiting the same gross features as hemoglobin Köln beta98 (FG 5) Val leads to Met. In addition to the presence of a deheminized fraction, a heme saturated abnormal hemoglobin was visualized and isolated by high resolution electrofocusing. By functional studies of the fully heminized form, a slightly increased oxygen affinity, an impairment of heme-heme interaction and a decreased response to organic phosphates were demonstrated. These functional perturbations point out the importance of the beta98 invariant valyl residue, in the quaternary contacts. They can account for the poor oxygen delivery of erythrocytes.

Alanine

Tissue-derived extracellular matrix hydrogels instruct epigenetic adaptation in metastatic colonization.

The extracellular matrix (ECM) plays a central role in regulating tumor progression and metastatic colonization by providing biochemical and mechanical signals that shape cancer cell fate. However, most organoid culture systems rely on basement membrane extracts that fail to reproduce the tissue-specific extracellular environments encountered during metastasis. Here, we develop tissue-derived decellularized matrix hydrogels to reconstruct organ-specific microenvironments and investigate epigenetic adaptation to ECM cues during metastatic colonization. Patient-derived colorectal cancer organoids cultured in colon-derived matrices exhibited enhanced maintenance of stem-like phenotypes and colon-specific chromatin accessibility landscapes compared with cultures grown in basement membrane extracts, demonstrating improved physiological relevance for primary tumor modeling. When exposed to matrices derived from secondary organs, the organoids showed distinct growth phenotypes accompanied by rapid, tissue-dependent chromatin accessibility remodeling, indicating that ECM composition alone can reshape regulatory programs governing metastatic adaptation. Notably, liver-derived matrices selectively activated hepatocyte nuclear factor 4 alpha (HNF4A)-associated transcriptional networks and created a context-specific dependence on c-MET signaling for survival. Functional perturbation of HNF4A or c-MET signaling confirmed that both are required for organoid formation specifically within the liver matrix environment. Together, these findings establish tissue-derived matrix hydrogels as instructive bioactive materials that actively regulate cancer cell epigenetic states and reveal microenvironment-specific therapeutic vulnerabilities during early metastatic colonization.

Journal Article

Properties of radiolabeled alpha-bungarotoxin derivatives and their interaction with nicotinic acetylcholine receptors.

Column-purified monoiodinated, diiodinated, and tritiated derivatives of alpha-bungarotoxin (alpha-Bgt) are distinguished on the basis of their ultraviolet absorption and circular dichroism (CD) spectra. The pattern of changes in CD spectra on incorporation of iodine into a single tyrosine residue of alpha-Bgt and the widespread wavelength distribution of these effects are interpreted as reflecting primary chemical modification of the tyrosine chromophore as well as vicinal and global secondary structural changes. Native and tritiated alpha-Bgt are shown to be more effective than iodinated alpha-Bgt derivatives in competing for specific toxin binding sites on putative nicotinic acetylcholine receptors (nAChR) derived from rat brain reflecting functional perturbation of the modified toxin. In contrast, both membrane-bound and solubilized nAChR from Torpedo californica electroplax display little or no specific binding preference for native toxin, nor are there significant differences in lethal potency of alpha-Bgt derivatives toward mice. These results suggest that peripheral and putative central nAChR may differ in their alpha-Bgt binding properties and suggest the usefulness of modified toxin in detecting those subtle differences.

Animals

Integrated Genomic and Epigenomic Analysis Reveals Epigenetic Plasticity in Disease Progression and Multidrug Resistance in Multiple Myeloma.

UNLABELLED: Multiple myeloma is marked by recurrent cytogenetic abnormalities and mutations that accumulate as the disease progresses. In this study, we sought to elucidate the transitions driving tumorigenesis and therapy resistance in multiple myeloma using a unique cohort of nearly 900 patients spanning premalignant to late-stage refractory multiple myeloma, comprehensively characterized at molecular and clinical levels. Waves of epigenetic dysregulation drove these critical transitions. In this paradigm, genomic and cytogenetic events unlocked epigenetic plasticity, reshaping multiple myeloma cell biology to evade tumor microenvironment constraints and therapeutic pressures. Functional perturbation studies in an isogenic proteasome inhibitor-resistant cell line model demonstrated enhanced reliance on transcriptional cofactors, supporting a mechanistic link between chromatin plasticity and therapy adaptation. Collectively, these findings support a unifying framework in which genomic heterogeneity unlocks gene regulatory plasticity, enabling plasma cells (PC) to evade microenvironmental constraints and therapeutic pressure. These results provide a mechanistic explanation for sequential relapse without new genomic alterations and nominate epigenetic plasticity-mediated PC adaptation as a therapeutic vulnerability in the heterogeneous genetic background of multiple myeloma. SIGNIFICANCE: Assembly and analysis of a multiple myeloma cohort spanning the continuum from premalignant to late relapse that integrates bulk transcriptomics with single-cell multiomic data provides insights into disease progression and epigenetic plasticity.

Multiple Myeloma

TFPI-high myofibroblast states and a meta-program-related five-gene prognostic signature in breast cancer.

Intratumoral heterogeneity and tumor-microenvironment interactions limit prognostic stratification in breast cancer, but the prognostic relevance and cellular context of recurrent transcriptional meta-programs remain unclear. We aimed to derive a meta-program-related prognostic signature and characterize its component transcripts at single-cell resolution. Six paired institutional tumors and adjacent non-tumor tissues served as a proof-of-concept comparison. Univariable Cox screening and least absolute shrinkage and selection operator Cox regression were used to derive a five-gene score from a prespecified meta-program-related candidate set in The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) training cohort; the score was tested internally and assessed in GSE20685 using fixed coefficients and cohort-specific median cutoffs. GSE161529 single-cell transcriptomic data were used to map signature transcripts across 136,526 quality-controlled cells, while donor-aware pseudobulk analysis compared upper- and lower-quartile TFPI expression states in annotated myofibroblasts. The score comprised TCN1, FOXJ1, PIGR, SLAIN1, and TFPI and was associated with overall survival in the training, testing, and external cohorts, with concordance indices of 0.782, 0.756, and 0.721, respectively. TFPI transcripts were detected across endothelial, fibroblast, and myofibroblast compartments. TFPI-high myofibroblasts showed transcriptional enrichment of extracellular matrix and collagen fibril organization, transforming growth factor beta signaling, epithelial-mesenchymal transition, and myogenesis, together with lower oxidative phosphorylation and fatty acid metabolism programs. In bulk TCGA-BRCA tissue, TFPI expression correlated positively with stromal (r&#xa0;= 0.48), immune (r&#xa0;= 0.25), and composite microenvironment scores (r&#xa0;= 0.40; all p&#xa0;< 0.001). These findings identify a hypothesis-generating five-gene bulk-tissue prognostic signature and an expression-associated TFPI-high myofibroblast state but do not establish a discrete lineage, the cellular source of bulk TFPI, a TFPI-dependent mechanism, or clinical utility. Independent prospective cohorts, spatial and protein-level validation, and functional perturbation studies are required.

Journal Article

Apolipoprotein E promotes papillary thyroid carcinoma progression by activating PINK1/Parkin-mediated mitophagy.

BACKGROUND: Increasing evidence supports a progression-related role of apolipoprotein E (APOE) in papillary thyroid carcinoma (PTC), yet a clear mechanistic explanation for this association is still lacking. Considering the pivotal role of mitochondrial homeostasis in tumorigenesis, the potential role of APOE in promoting PTC progression through mitophagy regulation was investigated. Additionally, the involvement of the PINK1/Parkin-associated pathway in this process was examined to provide insights into its contribution to tumor progression. METHODS: APOE in thyroid carcinoma was characterized in terms of its expression profile, diagnostic relevance, and potential biological functions, based on integrative evidence derived from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. APOE and mitophagy-related protein expression were further examined in PTC tissues by immunohistochemistry. Further evaluation of APOE in PTC cell lines focused on its association with proliferation, apoptosis, and mitophagy, with bidirectional functional perturbation serving as the basis for assessment. Pharmacological inhibitors were used to assess the involvement of mitophagy-related signaling in the observed APOE-dependent phenotypes. Additionally, the in vivo impact of APOE on PTC tumor growth and mitophagy was further investigated through a nude mouse xenograft model, providing insight into its potential role in tumor progression. RESULTS: A significant upregulation of APOE was observed in thyroid carcinoma tissues and PTC cell lines, supporting its potential relevance as a diagnostic biomarker. The modulation of APOE expression significantly influenced PTC cell proliferation and apoptosis, with overexpression promoting cell proliferation and inhibiting apoptosis, while knockdown led to the opposite effects. Mechanistically, APOE overexpression increased AMP-activated protein kinase (AMPK) phosphorylation and decreased mammalian target of rapamycin (mTOR) phosphorylation, accompanied by increased PINK1 and Parkin expression and mitophagy-related changes, including altered mitochondrial membrane potential, reduced overall reactive oxygen species levels, and increased autophagosome formation. Pharmacological inhibition of mitophagy attenuated the proliferative and antiapoptotic effects of APOE. CONCLUSIONS: These findings demonstrate that APOE promotes PTC progression in association with PINK1/Parkin-related mitophagy and modulation of the AMPK/mTOR axis. The APOE-associated mitophagy axis may provide a rationale for future preclinical investigation in PTC.

Apolipoprotein E (APOE)

Functional Annotation of the Major Histocompatibility Complex Locus.

The human major histocompatibility complex (MHC) locus has the greatest density of disease-associations in the human genome, including links to over 100 polygenic disorders. Its complex haplotype structure, rich gene density, and high degree of linkage disequilibrium combine to make deciphering the gene regulatory logic of the MHC locus extremely challenging. Employing complementary high-throughput CRISPR interference (CRISPRi) and activation (CRISPRa) epigenetic screens coupled with single-cell transcriptome profiling across three distinct human cell types, we identified hundreds of new connections between cis -regulatory elements (CREs) and their target genes in this locus. These CRE-gene links are largely cell type-specific and act as enhancers. Additionally, some CREs have complex features, including harboring both active and repressive histone marks, lacking chromatin accessibility, targeting multiple genes, or acting as silencers. Computational methods fail to predict a majority of these CRE-gene connections. These findings emphasize the potential for functional perturbation experiments to dissect complex loci and reveal shared and cell type-specific regulatory mechanisms relevant to genomics of complex diseases. Collectively, this study provides a unique resource for understanding the complex regulatory landscape within the MHC locus and supports the need for creating new models that encompass CRE-gene interactions, cell type-specific gene expression, and disease genetics in the noncoding genome.

Journal Article

Mapping convergent regulators of melanoma drug resistance by PerturbFate.

High-throughput genomic studies have uncovered associations between diverse genetic alterations and disease phenotypes. However, elucidating how perturbations in functionally disparate genes give rise to convergent cellular states remains challenging. Here we present PerturbFate, a high-throughput, cost-effective, combinatorial-indexing single-cell platform that enables systematic interrogation of massively parallel CRISPR interference1 perturbations across the full spectrum of gene regulation, from chromatin remodelling and nascent transcription to steady-state transcriptomic phenotypes. Using PerturbFate, we profiled more than 300,000 cultured melanoma cells to characterize multimodal phenotypic and gene regulatory responses to perturbations in more than 140 vemurafenib resistance-associated genes. We uncovered a shared dedifferentiated cell state marked by convergent cooperative transcription factor activities across diverse genetic perturbations. We further dissected phenotypic responses to perturbations in Mediator complex components, linking module-specific biochemical properties to convergent transcriptional activations. We identified common regulatory nodes that drive similar phenotypic outcomes across distinct genetic perturbations. We also delineated how perturbations in functionally unrelated genes reshape cell state. Thus, PerturbFate establishes a versatile platform for identifying key molecular regulators by anchoring multimodal regulatory dynamics to disease-relevant phenotypes.

Humans