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Nagy, G.

Publications and source records attributed to Nagy, G..

2 recordsLinked to original sources

Alternative super-enhancers result in similar gene expression in different tissues

Super-enhancers (SEs) are clusters of highly active enhancers, regulating cell type-specific and disease-related genes, including oncogenes1-3. The individual regulatory regions within SEs might be simultaneously bound by different transcription factors (TFs) and co-regulators such as P300, BRD4 and Mediator, which together establish a chromatin environment conducting to effective gene induction4-6. While cells with distinct TF profiles can have different functions, an unanswered question is how different cells control overlapping genetic programmes. Here, we show that the construction of oestrogen receptor alpha (ER)-driven SEs is tissue specific, and both the collaborating TFs and the active SE components are largely differing between human breast cancer-derived MCF-7 and endometrial cancer-derived Ishikawa cells; nonetheless, SEs common to both cell types have similar transcriptional outputs. In the MCF-7 cell line, ER-dominated SEs are also driven by the well-known FoxA1 and AP2{gamma} TFs, as described previously7, whereas in Ishikawa cells, FoxM1, TCF12 and TEAD4 are as important as ER for SE formation. Our results show that SEs can be constructed in several ways, but the overall activity of common SEs is the same between cells with a common master regulator. These findings may reshape our current understanding of how these regulatory units can fine-tune cell functions. From a broader perspective, we show that systems assembled from different components can perform similar tasks if a common functional trigger drives their assembly.

molecular biology

SESCA: Predicting the Circular Dichroism Spectra of Proteins from Molecular Structure

Circular dichroism spectroscopy is a highly sensitive, but low-resolution technique to study the structure of proteins. Combined with molecular modelling or other complementary techniques, CD spectroscopy can provide essential information at higher resolution. To this end, we introduce a new computational method to calculate the electronic circular dichroism spectra of proteins from a structural model or ensemble using the average secondary structure composition and a pre-calculated set of basis spectra. We compared the predictive power of our method to existing algorithms - namely DichroCalc and PDB2CD - and found that it predicts CD spectra more accurately, with a 50% smaller average deviation from the measured CD spectra. Our results indicate that the derived basis sets are robust to experimental errors in the reference spectra and to the choice of the secondary structure classification algorithm. For over 80% of the globular reference proteins, our basis sets accurately predict the experimental spectrum solely from their secondary structure composition. For the remaining 20%, correcting for intensity normalization considerably improves the prediction power. Additionally, we show that the predictions for short peptides and intrinsically disordered proteins strongly benefit from accounting for side-chain contributions and structural flexibility. Table Of Content Graphics O_TBL View this table: org.highwire.dtl.DTLVardef@1a1d73forg.highwire.dtl.DTLVardef@3aaa8forg.highwire.dtl.DTLVardef@193c090org.highwire.dtl.DTLVardef@1474f92org.highwire.dtl.DTLVardef@b920da_HPS_FORMAT_FIGEXP M_TBL C_TBL

biophysics