Robin M. Meyers

Estrogen interactions with breast cancer risk variants in regulatory DNA

The paper identifies estrogen-modulated SNVs associated with breast cancer risk and shows their interaction with reproductive factors using polygenic risk scores.

The Adhesion GPCR ADGRL2 engages Gα13 to Enable Epidermal Differentiation

The paper identifies ADGRL2's role in epidermal differentiation through Gα13 activation and structural interactions, using CRISPR, Perturb-seq, and cryo-EM.

Disease-Linked Regulatory DNA Variants and Homeostatic Transcription Factors in Epidermis

The paper identifies disease-linked regulatory DNA variants and their impact on epidermal homeostasis by analyzing SNVs, TF binding, and gene dysregulation in polygenic skin diseases.

Interactions Between Dietary Metabolites and Regulatory Risk Variants for Human Colon Cancer

The paper studies how dietary metabolites interact with genetic variants to influence colon cancer risk through transcriptional regulation.

irCLIP-RNP and Re-CLIP reveal patterns of dynamic protein associations on RNA

The paper introduces irCLIP-RNP and Re-CLIP methods to identify dynamic RNA-protein assemblies, revealing new patterns of RBP-RNA associations and EGF-induced remodeling.

Glucose modulates transcription factor dimerization to enable tissue differentiation

This study shows glucose acts as a morphogen that modulates transcription factor dimerization during tissue differentiation.

Modified forms of easyCLIP

This paper improves the easyCLIP protocol by addressing its limitations and providing a more reproducible analysis workflow.

A genome-wide almanac of co-essential modules assigns function to uncharacterized genes

This paper develops a statistical method to identify gene co-essentiality, creating a genome-wide functional module almanac that predicts functions for 102 uncharacterized genes and validates key findings.

Computational correction of copy-number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells

The paper develops CERES, a computational method to correct copy-number effects in CRISPR-Cas9 essentiality screens, improving specificity in cancer cell line studies.