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Kristofori, P.

Publications and source records attributed to Kristofori, P..

2 recordsLinked to original sources

Coordinated alternative splicing decisions via stepwise exon definition

Alternative splicing of pre-mRNA is a fundamental step in human gene regulation and aberrant slic-ing is tightly linked to diseases including cancer. Various splicing events, such as alternative exon (AE) choice and intron retention (IR), are controlled by a common molecular machinery, the spliceo-some. However, it remains elusive how the regulation of spliceosome activity coordinately affects these splicing decisions. Here, we analyze a large-scale mutagenesis screen and genome-wide RNA sequencing data to show that IR and AE choice are tightly coupled, as IR products primarily accu-mulate in alternative exons showing intermediate inclusion levels. Using data-driven mathematical modeling, we reveal that multistep exon recognition by the spliceosome explains the observed AE-IR dependency for cis-acting sequence mutations and upon knockdown of trans-acting RNA-binding proteins. Furthermore, we show that multistep exon definition is frequently perturbed in cancer cells, which leads to the coordinated deregulation of intron retention and AE choice. In conclusion, we showed that the spliceosome coordinates complex splicing decisions via stepwise exon definition, which potentially facilitates the search for common molecular mechanisms for mis-splicing in cancer.

systems biology↗

Transcriptional regulators ensuring specific gene expression and decision making at high TGFβ doses

TGF{beta}-signaling regulates cancer progression by controlling cell division, migration and death. These outcomes are mediated by gene expression changes, but the mechanisms of decision making towards specific fates remain unclear. Here, we combine SMAD transcription factor imaging, genome-wide RNA sequencing and morphological assays to quantitatively link signaling, gene expression and fate decisions in mammary epithelial cells. Fitting genome-wide kinetic models to our time-resolved data, we find that the majority of TGF{beta} target genes can be explained as direct targets of SMAD transcription factors, whereas the remainder show signs of complex regulation, involving delayed regulation and strong amplification at high TGF{beta} doses. Knockdown experiments followed by global RNA sequencing revealed transcription factors interacting with SMADs in feedforward loops to control delayed and dose-discriminating target genes, thereby reinforcing the specific epithelial-to-mesenchymal transition at high TGF{beta} doses. We identified early repressors, preventing premature activation, and a late activator, boosting gene expression responses for a sufficiently strong TGF{beta} stimulus. Taken together, we present a global view of TGF{beta}-dependent gene regulation and describe specificity mechanisms reinforcing cellular decision making.

systems biology↗