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Singleton, M.

Publications and source records attributed to Singleton, M..

4 recordsLinked to original sources

Evolutionary analyses of IDRs reveal widespread signals of conservation

Intrinsically disordered regions (IDRs) are segments of proteins without stable three-dimensional structures. As this flexibility allows them to interact with diverse binding partners, IDRs play key roles in cell signaling and gene expression. Despite the prevalence and importance of IDRs in eukaryotic proteomes and various biological processes, associating them with specific molecular functions remains a significant challenge due to their high rates of sequence evolution. However, by comparing the observed values of various IDR-associated properties against those generated under a simulated model of evolution, a recent study found most IDRs across the entire yeast proteome contain conserved features. Furthermore, it showed clusters of IDRs with common "evolutionary signatures," i.e. patterns of conserved features, were associated with specific biological functions. To determine if similar patterns of conservation are found in the IDRs of other systems, in this work we applied a series of phylogenetic models to over 8,500 orthologous IDRs identified in the Drosophila genome to dissect the forces driving their evolution. By comparing models of constrained and unconstrained continuous trait evolution using the Brownian motion and Ornstein-Uhlenbeck models, respectively, we identified signals of widespread constraint, indicating conservation of distributed features is mechanism of IDR evolution common to multiple biological systems. In contrast to the previous study in yeast, however, we observed limited evidence of IDR clusters with specific biological functions, which suggests a more complex relationship between evolutionary constraints and function in the IDRs of multicellular organisms.

bioinformatics↗

A NRF2/beta3-adrenoreceptor axis drives a sustained antioxidant and metabolic rewiring through the pentose-phosphate pathway to alleviate cardiac stress

BackgroundCardiac {beta}3-adrenergic receptors ({beta}3AR) are upregulated in diseased hearts and mediate antithetic effects to those of {beta}1AR and {beta}2AR. {beta}3AR agonists were recently shown to protect from myocardial remodeling in preclinical studies and to improve systolic function in patients with severe heart failure. The underlying mechanisms, however, remain elusive. MethodsTo dissect functional, transcriptional and metabolic effects, hearts and isolated ventricular myocytes from mice harboring a moderate, cardiac-specific expression of a human ADRB3 transgene ({beta}3AR-Tg) and subjected to transverse aortic constriction (TAC) were assessed using echocardiography, RNAseq, PET scan, metabolomics, seahorse and metabolic flux analysis. Subsequently, signaling and metabolic pathways were investigated further in vivo in {beta}3AR-Tg and in vitro in neonatal rat ventricular myocytes adenovirally infected to express {beta}3AR and subjected to neurohormonal stress. These results were completed with an analysis of single nucleus RNAseq data from human cardiac myocytes from heart failure patients. ResultsCompared with WT littermate, {beta}3AR-Tg mice were protected from hypertrophy after transaortic constriction (TAC), while systolic function was preserved. {beta}3AR-expressing hearts displayed enhanced myocardial glucose uptake under stress in absence of increased lactate levels. Instead, metabolomic and metabolic flux analyses in stressed hearts revealed an increase in intermediates of the Pentose-Phosphate Pathway (PPP) in {beta}3AR-Tg, an alternative route of glucose utilization, paralleled with increased transcript levels of NADPH-producing and rate-limiting enzymes of the PPP, without fueling the hexosamine metabolism. The ensuing increased content of NADPH and of reduced glutathione decreased myocyte oxidant stress, while downstream oxidative metabolism assessed by oxygen consumption was preserved with higher glucose oxidation in {beta}3AR-Tg post-TAC compared to WT, together with increased mitochondrial biogenesis. Unbiased transcriptomics and pathway analysis identified NRF2 (NFE2L2) as upstream transcription factor which was functionally verified in {beta}3AR-expressing cardiac myocytes where its translocation and nuclear activity was dependent on {beta}3AR activation of nitric-oxide synthase (NOS) NO production. ConclusionModerate expression of cardiac {beta}3AR, at levels observed in human cardiac myocardium, exerts antioxidant effects through activation of the PPP and NRF2 pathway, thereby preserving myocardial oxidative metabolism, function and integrity under pathophysiological stress.

physiology↗

Spatial transcriptomic analysis of Sonic Hedgehog Medulloblastoma identifies that the loss of heterogeneity and promotion of differentiation underlies the response to CDK4/6 inhibition

BackgroundMedulloblastoma (MB) is a malignant tumour of the cerebellum which can be classified into four major subgroups based on gene expression and genomic features. Single cell transcriptome studies have defined the cellular states underlying each MB subgroup, however the spatial organisation of these diverse cell states and how this impacts response to therapy remains to be determined. MethodsHere, we used spatially resolved transcriptomics to define the cellular diversity within a sonic hedgehog (SHH) patient-derived model of MB and identify how cells specific to a transcriptional state or spatial location are pivotal in responses to treatment with the CDK4/6 inhibitor, Palbociclib. We integrated spatial gene expression with histological annotation and single cell gene expression data from MB, developing a analysis strategy to spatially map cell type responses within the hybrid system of human and mouse cells and their interface within an intact brain tumour section. ResultsWe distinguish neoplastic and non-neoplastic cells within tumours and from the surrounding cerebellar tissue, further refining pathological annotation. We identify a regional response to Palbociclib, with reduced proliferation and induced neuronal differentiation in both treated tumours. Additionally, we resolve at a cellular resolution a distinct tumour interface where the tumour contacts neighbouring mouse brain tissue consisting of abundant astrocytes and microglia and continues to proliferate despite Palbociclib treatment. ConclusionsOur data highlight the power of using spatial transcriptomics to characterise the response of a tumour to a targeted therapy and provide further insights into the molecular and cellular basis underlying the response and resistance to CDK4/6 inhibitors in SHH MB.

genomics↗

Leveraging genomic redundancy to improve inference and alignment of orthologous proteins

Identifying protein sequences with common ancestry is a core task in bioinformatics and evolutionary biology. However, methods for inferring and aligning such sequences in annotated genomes have not kept pace with the increasing scale and complexity of the available data. Thus, in this work we implemented several improvements to the traditional methodology that more fully leverage the redundancy of closely related genomes and the organization of their annotations. Two highlights include the application of the more flexible k-clique percolation algorithm for identifying clusters of orthologous proteins and the development of a novel technique for removing poorly supported regions of alignments with a phylogenetic HMM. In making the latter, we also wrote a fully documented Python package Homomorph that implements standard HMM algorithms and created a set of tutorials to promote its use by a wide audience. We applied the resulting pipeline to a set of 33 annotated Drosophila genomes, generating 22,813 orthologous groups and 8,566 high-quality alignments.

bioinformatics↗