Biology subjects

Sterne-Weiler, T.

Publications and source records attributed to Sterne-Weiler, T..

5 recordsLinked to original sources

bioRxiv2025

Isoform-specific single-cell perturb-seq reveals distinct functions of alternative promoters in drug response

CRISPR interference (CRISPRi) screens have emerged as powerful tools for dissecting gene function, yet their application to genes with multiple promoters, which comprise over 60% of human genes, remains poorly understood. Here, we demonstrate that CRISPR-dCas9-based screens exhibit widespread promoter specificity, with untargeted promoters often showing compensatory upregulation to maintain gene expression. Leveraging this selective targeting of individual promoters within the same gene, we developed isoform-specific single-cell Perturb-Seq to systematically analyse alternative promoter function. Our analysis revealed that alternative promoters in 48.3% of targeted genes drive distinct transcriptional programs. This suggests that promoter selection represents a fundamental mechanism for generating cellular diversity rather than mere transcriptional redundancy. In breast cancer models, this promoter-specific targeting revealed differential effects on drug sensitivity, where distinct estrogen receptor (ESR1) promoters showed opposing influences on tamoxifen response and patient survival. These findings demonstrate the necessity of promoter-level analysis in functional genomics and suggest new strategies for therapeutic intervention through promoter-specific targeting.

genomics↗

bioRxiv2023

Accurate long-read transcript discovery and quantification at single-cell resolution with Isosceles

Accurate detection and quantification of mRNA isoforms from nanopore long-read sequencing remains challenged by technical noise, particularly in single cells. To address this, we introduce Isosceles, a computational toolkit that outperforms other methods in isoform detection sensitivity and quantification accuracy across single-cell, pseudo-bulk and bulk resolution levels, as demonstrated using synthetic and biologically-derived datasets. Isosceles improves the fidelity of single-cell transcriptome quantification at the isoform-level, and enables flexible downstream analysis. As a case study, we apply Isosceles, uncovering coordinated splicing within and between neuronal differentiation lineages. Isosceles is suitable to be applied in diverse biological systems, facilitating studies of cellular heterogeneity across biomedical research applications.

bioinformatics↗

bioRxiv2023

Single-cell long-read targeted sequencing reveals transcriptional variation in ovarian cancer

Single-cell RNA sequencing predominantly employs short-read sequencing to characterize cell types, states and dynamics; however, it is inadequate for comprehensive characterization of RNA isoforms. Long-read sequencing technologies enable single-cell RNA isoform detection but are hampered by lower throughput and unintended sequencing of artifacts. Here we developed Single-cell Targeted Isoform Long-Read Sequencing (scTaILoR-seq), a hybridization capture method which targets over a thousand genes of interest, improving the median number of unique transcripts per cell by 29-fold. We used scTaILoR-seq to identify and quantify RNA isoforms from ovarian cancer cell lines and primary tumors, yielding 10,796 single-cell transcriptomes. Using long-read variant calling we revealed associations of expressed single nucleotide variants (SNVs) with alternative transcript structures. In addition, phasing of SNVs across transcripts facilitated measurement of allelic imbalance within distinct cell populations. Overall, scTaILoR-seq is a long-read targeted RNA sequencing method and analytical framework for exploring transcriptional variation at single-cell resolution.

genomics↗

bioRxiv2023

Constitutive protein degradation induces acute cell death via proteolysis products

Modulation of proteolysis is an emerging therapeutic mainstay. The clinical success of thalidomide and analogs has inspired development of rationally-designed therapeutics that repurpose endogenous degradation machinery to target pathogenic proteins. However, it is unknown whether target removal is the critical effect that drives degrader-induced efficacy. Here we report that proteasome-generated peptides actively initiate degrader-induced cell death. Utilizing BET family degraders as exemplars, we find that induced proteasomal degradation of the BRD4-long isoform (BRD4-L) generates neo-amino-terminal peptides that neutralize Inhibitor of Apoptosis (IAP) proteins to precipitate cell death. Depletion of BRD4-L paradoxically suppresses caspase activation induced by numerous BET degraders. An unbiased screen revealed that other degrader compounds, including clinical CELMoDs, rely on the same mechanism to potentiate caspase activation and apoptosis. Finally, in the context of constitutive immunoglobulin proteostasis within multiple myeloma cells, we report that therapeutic proteasomal protease inhibition alters the peptide repertoire to neutralize IAPs, thus contributing to the clinical efficacy of bortezomib. Together, these findings clarify the counterintuitive clinical benefit achieved by combining thalidomide analogs with proteasome inhibitors. Our study reveals a previously unrealized pro-apoptotic function of the peptides generated by a variety of proteolysis-modulating compounds, that provide design considerations to maximize therapeutic benefit.

cell biology↗

bioRxiv2017

Whippet: an efficient method for the detection and quantification of alternative splicing reveals extensive transcriptomic complexity

Alternative splicing (AS) is a widespread process underlying the generation of transcriptomic and proteomic diversity in metazoans. Major challenges in comprehensively detecting and quantifying patterns of AS are that RNA-seq datasets are expanding near exponentially, while existing analysis tools are computationally inefficient and ineffective at handling complex splicing patterns. Here, we describe Whippet, a method that rapidly, and with minimal hardware requirements, models and quantifies splicing events of any complexity without significant loss of accuracy. Using an entropic measure of splicing complexity, Whippet reveals that approximately 33% of human protein coding genes contain complex AS events that result in substantial expression of multiple splice isoforms. These events frequently affect tandem arrays of folded protein domains. Remarkably, high-entropy AS events are more prevalent in tumour relative to matched normal tissues, and these differences correlate with increased expression of proto-oncogenic splicing factors. Whippet thus affords the rapid and accurate analysis of AS events of any complexity, and as such will facilitate biomedical research.

genomics↗