Abstract LB048: Functional characterization of genetic regulators driving melanoma drug resistance via Single-Cell high-content CRISPR screening

Abstract Melanoma, a highly aggressive form of skin cancer, presents a significant clinical challenge. The identification of BRAFV600E mutations as a driver in roughly half of all melanoma cases has led to the development of targeted therapies, exemplified by Vemurafenib (Vem), which inhibits overactivated MAPK signaling. However, frequent relapses remain a major obstacle. To investigate the complex mechanisms driving drug resistance in melanoma, we developed PerturbFate, a scalable single-cell combinatorial-indexing strategy that integrates multi-modal profiling with CRISPR perturbations. This approach simultaneously captures newly synthesized and pre-existing transcriptomes, chromatin accessibility, and CRISPR sgRNA identity from individual cells. Using this platform, we profiled BRAFV600E melanoma cells (A375) after knocking down each of 143 potential drug resistance candidate genes, both with and without Vem treatment, in a pooled manner. We identified extensive phenotypic state transitions in melanoma cells under genetic and chemical perturbations, revealing that an undifferentiated state is associated with enhanced drug resistance, while a more benign, Vem-responsive melanocytic state exists at the opposite end of the phenotypic spectrum. Temporal gene regulatory network analyses revealed that AP-1 transcription factors (TFs), particularly FOSL1, pioneer other diverse TFs to drive the melanoma dedifferentiation. In contrast, SOX10 is the key determinant of the melanocytic state. We identified MAPK pathway, which primarily promotes proliferation, and Hippo/YAP signaling, which predominantly drives the undifferentiated state transition, as convergent key pathways mediating drug resistance. Their synergistic interplay, executed through the collaborative activation of downstream TFs (e.g., FOSL1, RREB1, SMADs, KLF5)-mediated gene expression, is a critical driver of Vem resistance. To elucidate the mechanisms underlying the observation that perturbation of genes encoding the Mediator Complex components (e.g., MED12, CCNC, MED13, MED19, MED15, MED24) induced autonomous dedifferentiation and/or resistance to Vem in melanoma, we established linkages between their distinct biochemical properties and heterogeneous perturbation responses. We also identified the convergence of dysregulated inflammation, potentially mediated by VEGFC and interleukins (ILs), with Hippo/YAP-mediated transcriptional responses in driving melanoma dedifferentiation and Vem resistance following perturbation of mediator complex genes. Altogether, our study introduces a novel single-cell multi-modal CRISPR perturbation platform, which we applied to comprehensively chart the responses of melanoma cells to the perturbation of all potential Vem resistance candidate genes. These findings pave the way for the identification of precise targets for combination therapies with enhanced efficacy against melanoma drug resistance. Citation Format: Zihan Xu, Ziyu Lu, Aileen Ugurbil, Abdulraouf Abdulraouf, Jianxiang Zhang, Wei Zhou, Junyue Cao. Functional characterization of genetic regulators driving melanoma drug resistance via Single-Cell high-content CRISPR screening [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr LB048.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-25
DOI
https://doi.org/10.1158/1538-7445.am2025-lb048
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract LB048: Functional characterization of genetic regulators driving melanoma drug resistance via Single-Cell high-content CRISPR screening

Aileen Ugurbil, Junyue Cao, Zihan Xu, Abdulraouf Abdulraouf et al.
1 links
Cancer Research
CRISPR and Genetic Engineering
article

Abstract LB048: Functional characterization of genetic regulators driving melanoma drug resistance via Single-Cell high-content CRISPR screening

Aileen Ugurbil, Junyue Cao, Zihan Xu, Abdulraouf Abdulraouf, Ziyu Lu, Jianxiang Zhang, Wei Zhou
article en

Abstract

Abstract Melanoma, a highly aggressive form of skin cancer, presents a significant clinical challenge. The identification of BRAFV600E mutations as a driver in roughly half of all melanoma cases has led to the development of targeted therapies, exemplified by Vemurafenib (Vem), which inhibits overactivated MAPK signaling. However, frequent relapses remain a major obstacle. To investigate the complex mechanisms driving drug resistance in melanoma, we developed PerturbFate, a scalable single-cell combinatorial-indexing strategy that integrates multi-modal profiling with CRISPR perturbations. This approach simultaneously captures newly synthesized and pre-existing transcriptomes, chromatin accessibility, and CRISPR sgRNA identity from individual cells. Using this platform, we profiled BRAFV600E melanoma cells (A375) after knocking down each of 143 potential drug resistance candidate genes, both with and without Vem treatment, in a pooled manner. We identified extensive phenotypic state transitions in melanoma cells under genetic and chemical perturbations, revealing that an undifferentiated state is associated with enhanced drug resistance, while a more benign, Vem-responsive melanocytic state exists at the opposite end of the phenotypic spectrum. Temporal gene regulatory network analyses revealed that AP-1 transcription factors (TFs), particularly FOSL1, pioneer other diverse TFs to drive the melanoma dedifferentiation. In contrast, SOX10 is the key determinant of the melanocytic state. We identified MAPK pathway, which primarily promotes proliferation, and Hippo/YAP signaling, which predominantly drives the undifferentiated state transition, as convergent key pathways mediating drug resistance. Their synergistic interplay, executed through the collaborative activation of downstream TFs (e.g., FOSL1, RREB1, SMADs, KLF5)-mediated gene expression, is a critical driver of Vem resistance. To elucidate the mechanisms underlying the observation that perturbation of genes encoding the Mediator Complex components (e.g., MED12, CCNC, MED13, MED19, MED15, MED24) induced autonomous dedifferentiation and/or resistance to Vem in melanoma, we established linkages between their distinct biochemical properties and heterogeneous perturbation responses. We also identified the convergence of dysregulated inflammation, potentially mediated by VEGFC and interleukins (ILs), with Hippo/YAP-mediated transcriptional responses in driving melanoma dedifferentiation and Vem resistance following perturbation of mediator complex genes. Altogether, our study introduces a novel single-cell multi-modal CRISPR perturbation platform, which we applied to comprehensively chart the responses of melanoma cells to the perturbation of all potential Vem resistance candidate genes. These findings pave the way for the identification of precise targets for combination therapies with enhanced efficacy against melanoma drug resistance. Citation Format: Zihan Xu, Ziyu Lu, Aileen Ugurbil, Abdulraouf Abdulraouf, Jianxiang Zhang, Wei Zhou, Junyue Cao. Functional characterization of genetic regulators driving melanoma drug resistance via Single-Cell high-content CRISPR screening [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr LB048.

Cancer ResearchVol. 85(8_Supplement_2)
Rockefeller University (US)
Openalex Percentile: Top 92%
CRISPR and Genetic Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.