Biology subjects

Movilla Miangolarra, A.

Publications and source records attributed to Movilla Miangolarra, A..

3 recordsLinked to original sources

bioRxiv2025

Signatures of digital Polycomb regulation in functional iPSC heterogeneity between individuals

Induced pluripotent stem cells (iPSCs) show substantial heterogeneity between individuals in their capacity to differentiate into various cell types, hindering their translational application. To explore the causes of this variability, we analysed a panel of ten human iPSC lines, evaluating their differentiation efficiency for two different fates, profiling their transcriptome and chromatin state. Using a machine learning approach, we related chromatin state variability with transcriptional differences. We found that regulation of the Polycomb-mediated histone modification H3K27me3 at specific gene loci exhibited the most consistent differences among iPSC lines, frequently displaying a digital ON/OFF pattern, consistent with a mathematical model based on Polycomb read-write feedback. Notably, altered gene expression patterns of Polycomb-regulated genes were largely propagated into an intermediate state in the differentiation trajectory. Finally, we uncovered a subset of Polycomb-regulated genes with heterogeneous expression and chromatin signatures that were highly predictive of iPSC differentiation efficiencies for two cell types.

systems biology↗

bioRxiv2023

Two-way feedback between chromatin compaction and histone modification state explains S. cerevisiae heterochromatin bistability

Compact chromatin is closely linked with gene silencing in part by sterically masking access to promoters, inhibiting transcription factor binding and preventing polymerase from efficiently transcribing a gene. Here, we propose a broader view: chromatin compaction can be both a cause and a consequence of the histone modification state, and this tight bidirectional interaction can underpin bistable transcriptional states. To test this theory, we developed a mathematical model for the dynamics of the HMR locus in S. cerevisiae, that incorporates activating histone modifications, silencing proteins and a dynamic, acetylation-dependent, three-dimensional locus size. Chromatin compaction enhances silencer protein binding, which in turn feeds back to remove activating histone modifications, leading to further compaction. The bistable output of the model was in good agreement with prior quantitative data, including switching rates from expressed to silent states, and vice versa, and protein binding levels within the locus. We then tested the model by predicting changes in switching rates as the genetic length of the locus was increased, which were then experimentally verified. This bidirectional feedback between chromatin compaction and the histone modification state may be an important regulatory mechanism at many loci. SignificanceChromatin is the complex formed by proteins, including histones, and DNA to form chromosomes. Specific chromatin structures and states are thought to be key factors regulating transcription. A common view proposes that histone modifications activate or inhibit transcription either via specific activation or inhibition of RNA polymerase binding/elongation at a locus, or by expanding/compacting the locus, thereby modulating its accessibility to many macromolecules. In this work, we elucidated a broader hypothesis that chromatin compaction may both inhibit transcription, and feedback via silencing proteins to remove histone modifications that further control chromatin compaction and correlate with gene activity. We developed a model incorporating these ideas and showed that it explains quantitative experimental data for a silent locus in budding yeast.

systems biology↗

bioRxiv2021

Two timescales control the creation of large protein aggregates in cells

Protein aggregation is of particular interest due to its connection with many diseases and disorders. Many factors can alter the dynamics and result of this process, one of them being the diffusivity of the monomers and aggregates in the system. Here, we study experimentally and theoretically an aggregation process in cells, and we identify two distinct physical timescales that set the number and size of aggregates. The first timescale involves fast aggregation of small clusters freely diffusing in the cytoplasm, while, in the second one, the aggregates are larger than the pore size of the cytoplasm and thus barely diffuse, and the aggregation process is slowed down. However, the process is not entirely halted, potentially reflecting a myriad of active but random forces forces that stir the aggregates. Such slow timescale is essential to account for the experimental results of the aggregation process. These results could also have implications in other processes of spatial organization in cell biology, such as phase-separated droplets. O_TEXTBOXSIGNIFICANCEProtein aggregation is a physico-chemical process that underlies many diseases and disorders, such as Alzheimers or Huntingtons disease. Here, we study experimental and theoretically the effect of a sharp decrease of diffusivity in the aggregation dynamics, such as the one that could happen in the cell due to the presence of obstacles. We find that two different timescales are important in setting the size of large aggregates and we give an estimate of the size of the aggregate at which this dramatic change in behaviour occurs, which could not be exclusive of protein aggregation but affect many other intracellular processes. C_TEXTBOX

biophysics↗