Biology subjects

Rahman, R.

Publications and source records attributed to Rahman, R..

33 records · Page 2Linked to original sources

bioRxiv2022

Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures

Protein kinases are a family of signalling proteins, crucial for maintaining cellular homeostasis. When dysregulated, kinases drive the pathogenesis of several diseases, and are thus one of the largest target categories for drug discovery. Kinase activity is tightly controlled by switching through several active and inactive conformations in their catalytic domain. Kinase inhibitors have been designed to engage kinases in specific conformational states, where each conformation presents a unique physico-chemical environment for therapeutic intervention. Thus, modeling kinases across conformations can enable the design of novel and optimally selective kinase drugs. Due to the recent success of AlphaFold2 in accurately predicting the 3D structure of proteins based on sequence, we investigated the conformational landscape of protein kinases as modeled by AlphaFold2. We observed that AlphaFold2 is able to model several kinase conformations across the kinome, however, certain conformations are only observed in specific kinase families. Furthermore, we show that the per residue predicted local distance difference test can capture information describing conformational dynamics of kinases. Finally, we evaluated the docking performance of AlphaFold2 kinase structures for enriching known ligands. Taken together, we see an opportunity to leverage AlphaFold2 models for structure-based drug discovery against kinases across several pharmacologically relevant conformational states.

biochemistry↗

bioRxiv2022

Splicing-dependent transcriptional activation

Transcription and splicing are intrinsically coupled. Transcription dynamics regulate splicing, and splicing feeds back to transcription initiation to jointly determine gene expression profiles. A recently described phenomenon called exon-mediated activation of transcription starts (EMATS) shows that splicing of internal exons can regulate transcription initiation and activate cryptic promoters. Here, we present the first complete catalog of human EMATS genes that have a weak alternative promoter located upstream and proximate to an efficiently spliced internal skipped exon. We found that EMATS genes are associated with Mendelian genetic diseases --specifically intellectual development disorders, cardiomyopathy, and immunodeficiency-- and provide a list of EMATS genes with pathological variants. EMATS was originally described as a natural mechanism used during evolution to fine-tune gene expression through punctual genomic mutations that affect splicing. Here, we show that EMATS can be used to manipulate gene expression with therapeutic purposes. We constructed stable cell lines expressing a splicing reporter based on the alternative splicing of exon 7 of SMN2 gene under the regulation of different promoters. Using a small molecule (Risdiplam) and an antisense oligonucleotide (ASO) modeled after Spinraza, we promoted the inclusion of SMN2 exon 7 which triggered an increase in gene expression up to 40-folds by activating transcription initiation. We observed the strongest effects in reporters under the regulation of weak human promoters, where the highest drug doses dramatically increased exon inclusion. Overall, our findings present evidence to develop the first therapeutic strategy to use EMATS to activate gene expression using small molecules and ASOs that affect splicing.

molecular biology↗

bioRxiv2022

Electric Field Responsive Nanotransducers for Glioblastoma

Electric field therapies such as Tumor Treating Fields (TTFields) have emerged as a bioelectronic treatment for isocitrate dehydrogenase wild-type and IDH mutant grade 4 astrocytoma Glioblastoma (GBM). TTFields rely on alternating current (AC) electric fields (EF) leading to the disruption of dipole alignment and induced dielectrophoresis during cytokinesis. Although TTFields have a favourable side effect profile, particularly compared to cytotoxic chemotherapy, survival benefits remain limited ([~] 4.9 months) after an extensive treatment regime (20 hours/day for 18 months). The cost of the technology also limits its clinical adoption worldwide. Therefore, the discovery of new technology that can enhance survival benefit and improve the cost per added quality of life year per patient, of these TTFields will be of great benefit to cancer treatment and decrease healthcare costs worldwide. In this work, we report the role of electrically conductive gold (GNPs), dielectric silica oxide (SiO2), and semiconductor zinc oxide (ZnO) nanoparticles (NPs) as transducers for enhancing EF mediated anticancer effects on patient derived GBM cells. Physicochemical properties of these NPs were analyzed using spectroscopic, electron microscopy, and light-scattering techniques. In vitro TTFields studies indicated an enhanced reduction in the metabolic activity of patient-derived Glioma INvasive marginal (GIN 28) and Glioma contrast enhanced core (GCE 28) GBM cells in groups treated with NPs vs. control groups, irrespective of NPs dielectric properties. Our results indicate the inorganic NPs used in this work enhance the intracellular EF effects by virtue of bipolar dielectrophoretic and electrophoretic effects. This work presents preliminary evidence which could help to improve future EF applications for bioelectronic medicine. Furthermore, the merits of spherical morphology, excellent colloidal stability, and low toxicity, make these NPs ideal for future studies for elucidating the detailed mechanism and efficacy upon their delivery in GBM preclinical models.

cancer biology↗

bioRxiv2021

Spatial-transcriptomics reveals unique defining molecular features of fluorescence-sorted 5-aminolevulinic acid+ infiltrative tumor cells associated with glioblastoma recurrence and poor survival

Spatiotemporal-heterogeneity of glioblastoma (GBM) originating from the genomic and transcriptional variation in spatially distinct intra-tumor sites, may contribute to subtype switching in GBM prior to and upon recurrence. Fluorescence-guided neurosurgical resection utilizing 5-aminolevulinic acid (5ALA) has enabled the isolation of infiltrative margin tumor cells (5ALA+ cells) from a background of non-neoplastic cells. We have explored the spatial-transcriptomic (ST) landscape to interrogate molecular signatures unique to infiltrating 5ALA+ cells in comparison to GBM core, rim, and invasive margin non-neoplastic cells. ST analysis reveals that GBM molecular subtype plasticity is not restricted to recurrence, but manifests regionally in a cell-type-specific manner. Whilst GBM core and rim are highly enriched with Classical and Proneural subtypes, the unique enrichment of the Mesenchymal subtype (MES) in 5ALA+ cells supports the hypothesis that MES 5ALA+ cells may drive GBM recurrence. Upregulation of the wound response pathway in 5ALA+ cells signifies the possibility of hijacking the wound healing pathway of neural cells to promote tumor growth. Exon-intron split analysis revealed an upregulation of exonic counts for MES and wound-response genes in 5ALA+ cells, implying that these genes are under active post-transcriptional control. Network analysis suggests that wound response genes, including chemokine CCL2 that recruits regulatory T-cells and monocytic myeloid-derived suppressor cells, are controlled by an IRF8-mediated transcriptional program in 5ALA+ cells. A higher stemness signature both in 5ALA+ cells and non-neoplastic cells of the invasive margin emphasizes the role of this microenvironment in stemness acquisition and defines 5ALA+ cells as a rare sub-population of GBM stem cells. Finally, we establish a link between the unique molecular signatures of 5ALA+ cells and poor survival and GBM recurrence. Characterization of the 5ALA+ infiltrative sub-population offers an opportunity to develop more effective GBM treatments and urges focus away from the GBM proliferative core, upon which failed targeted therapies have been predicated.

cancer biology↗

bioRxiv2021

Transposable element landscape changes are buffered by RNA silencing in aging Drosophila

Genetic mechanisms that repress transposable elements (TEs) in young animals decline during aging, as reflected by increased TE expression in aged animals. Does increased TE expression during aging lead to more genomic TE copies in older animals? To answer this question, we quantified TE Landscapes (TLs) via whole genome sequencing of young and aged Drosophila strains of wild-type and mutant backgrounds. We quantified TLs in whole flies and dissected brains and validated the feasibility of our approach in detecting new TE insertions in aging Drosophila genomes when natural defenses like RNA interference (RNAi) pathways are compromised. By also incorporating droplet digital PCR to validate genomic TE loads, we confirm TL changes can occur in a single lifespan of Drosophila when TEs are not suppressed. We also describe improved sequencing methods to quantify extra-chromosomal DNA circles (eccDNAs) in Drosophila as an additional source of TE copies that accumulate during aging. Lastly, to combat the natural progression of aging-associated TE expression, we show that knocking down PAF1, a conserved transcription elongation factor that antagonizes RNAi pathways, may bolster suppression of TEs during aging and extend lifespan. Our study suggests that RNAi mechanisms generally mitigate genomic TL expansion despite the increase in TE transcripts during aging.

genomics↗

bioRxiv2020

A laboratory module that explores RNA interference and codon optimization through fluorescence microscopy using Caenorhabditis elegans

Scientific research experiences are beneficial to students allowing them to gain laboratory and problem-solving skills, as well as foundational research skills in a team-based setting. We designed a laboratory module to provide a guided research experience to stimulate curiosity, introduce students to experimental techniques, and provide students with foundational skills needed for higher levels of guided inquiry. In this laboratory module, students learn about RNA interference (RNAi) and codon optimization using the research organism Caenorhabditis elegans (C. elegans). Students are given the opportunity to perform a commonly used method of gene downregulation in C. elegans where they visualize gene depletion using fluorescence microscopy and quantify the efficacy of depletion using quantitative image analysis. The module presented here educates students on how to report their results and findings by generating publication quality figures and figure legends. The activities outlined exemplify ways by which students can improve their critical thinking, data interpretation, and technical skills, all of which are beneficial for future laboratory classes, independent inquiry-based research projects, and careers in the life sciences and beyond.

scientific communication and education↗

bioRxiv2020

CG7379/ING1 suppress cancer cell invasion by maintaining cell-cell junction integrity

Approximately 90% of cancer related deaths can be attributed to a tumours ability to spread. We have identified CG7379, the fly orthologue of human ING1, as a potent invasion suppressor. ING1 is a type II tumour suppressor with well-established roles in the transcriptional regulation of genes that control cell proliferation, response to DNA damage, oncogene-induced senescence and apoptosis. Recent work suggests a possible role for ING1 in cancer cell invasion and metastasis, but the molecular mechanism underlying this observation is lacking. Our results show that reduced expression of CG7379 promotes invasion in vivo in Drosophila, reduces the junctional localisation of several adherens and septate junction components, and severely disrupts cell-cell junction architecture. Similarly, ING1 knockdown significantly enhances invasion in vitro and disrupts E-cadherin distribution at cell-cell junctions. A transcriptome analysis reveals that loss of ING1 affects the expression of several junctional and cytoskeletal modulators, confirming ING1 as an invasion suppressor and a key regulator of cell-cell junction integrity.

cancer biology↗

bioRxiv2020

Metabolic profiles as putative predictors of relapse in pediatric brain tumour using direct surface and imaging mass spectrometry

We present here a novel surface mass spectrometry strategy to perform untargeted metabolite profiling of formalin-fixed paraffin-embedded (FFPE) pediatric ependymoma archives. Sequential Orbitrap secondary ion mass spectrometry (3D OrbiSIMS) and liquid extraction surface analysis-tandem MS (LESA-MS/MS) permitted the detection of 887 metabolites (163 chemical classes) from pediatric ependymoma tumor tissue microarrays (diameter <1 mm; thickness: 4 m). From these 163 classes, 60 classes were detected with both techniques, whilst LESA-MS/MS and 3D OrbiSIMS individually allowed the detection of another 83 and 20 unique metabolite classes, respectively. Through data fusion and multivariate analysis, we were able to identify key metabolites and corresponding pathways predictive of tumor relapse which were retrospectively confirmed using gene expression analysis with publicly available data. Altogether, this sequential mass spectrometry strategy has shown to be a versatile tool to perform high throughput metabolite profiling on sample-limited tissue archives. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=91 SRC="FIGDIR/small/182071v3_ufig1.gif" ALT="Figure 1"> View larger version (11K): org.highwire.dtl.DTLVardef@1f9c850org.highwire.dtl.DTLVardef@1ce0568org.highwire.dtl.DTLVardef@c5023borg.highwire.dtl.DTLVardef@15ad6e_HPS_FORMAT_FIGEXP M_FIG For Table of Contents Only C_FIG

cancer biology↗

bioRxiv2020

Protein structure-based gene expression signatures

Gene expression signatures (GES) connect phenotypes to mRNA expression patterns, providing a powerful approach to define cellular identity, function, and the effects of perturbations. However, the use of GES has suffered from vague assessment criteria and limited reproducibility. The structure of proteins defines the functional capability of genes, and hence, we hypothesized that enrichment of structural features could be a generalizable representation of gene sets. We derive structural gene expression signatures (sGES) using features from various levels of protein structure (e.g. domain, fold) encoded by the transcribed genes in GES, to describe cellular phenotypes. Comprehensive analyses of data from the Genotype-Tissue Expression Project (GTEx), ARCHS4, and mRNA expression of drug effects on cardiomyocytes show that structural GES (sGES) are useful for identifying robust signatures of biological phenomena. sGES also enables the characterization of signatures across experimental platforms, facilitates the interoperability of expression datasets, and can describe drug action on cells.

bioinformatics↗

bioRxiv2020

Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populations

Glioblastomas (GBMs) are the most aggressive primary brain tumours and have no known cure. Each individual tumour comprises multiple sub-populations of genetically-distinct cells that may respond differently to targeted therapies and may contribute to disappointing clinical trial results. Image-localized biopsy techniques allow multiple biopsies to be taken during surgery and provide information that identifies regions where particular sub-populations occur within an individual GBM, thus providing insight into their regional genetic variability. These sub-populations may also interact with one another through a competitive or cooperative nature; it is important to ascertain the nature of these interactions, as they may have implications for responses to targeted therapies. We combine genetic information from biopsies with a mechanistic model of interacting GBM sub-populations to characterise the nature of interactions between two commonly occurring GBM sub-populations, those with EGFR and PDGFRA genes amplified. We study population levels found across image-localized biopsy data from a cohort of 25 patients and compare this to model outputs under competitive, cooperative and neutral interaction assumptions. We explore other factors affecting the observed simulated sub-populations, such as selection advantages and phylogenetic ordering of mutations, which may also contribute to the levels of EGFR and PDGFRA amplified populations observed in biopsy data.

cancer biology↗

bioRxiv2020

TRIBE editing reveals specific mRNA targets of eIF4E-BP in Drosophila and in mammals

4E-BP (eIF4E-BP) represses translation initiation by binding to the 5cap-binding protein eIF4E and inhibiting its activity. Although 4E-BP has been shown to be important in growth control, stress response, cancer, neuronal activity and mammalian circadian rhythms, it is not understood how it preferentially represses a subset of mRNAs. We successfully used hyperTRIBE (Targets of RNA-binding proteins identified by editing) to identify in vivo 4E-BP mRNA targets in both Drosophila and mammals under conditions known to activate 4E-BP. The protein associates with specific mRNAs, and ribosome profiling data show that mTOR inhibition changes the translational efficiency of 4E-BP TRIBE targets compared to non-targets. In both systems, these targets have specific motifs and are enriched in translation-related pathways, which correlate well with the known activity of 4E-BP and suggest that it modulates the binding specificity of eIF4E and contributes to mTOR translational specificity.

molecular biology↗

bioRxiv2019

TDP-43 dysfunction restricts dendritic complexity by inhibiting CREB activation and altering gene expression

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are two related neurodegenerative diseases that present with similar TDP-43 pathology in patient tissue. TDP-43 is an RNA-binding protein and forms aggregates in neurons of ALS and FTD patients as well as in a subset of patients diagnosed with other neurodegenerative diseases. Despite our understanding that TDP-43 is essential for many aspects of RNA metabolism, it remains obscure how TDP-43 dysfunction contributes to neurodegeneration. Interestingly, several neurological disorders display altered dendritic morphology and complexity, which are thought to precede neurodegeneration. In this study, we used TRIBE (targets of RNA-binding proteins identified by editing) as a new approach to identify signaling pathways that regulate dendritic branching downstream of TDP-43. We found that TDP-43 targets are enriched for pathways that signal to the CREB transcription factor. We further found that TDP-43 dysfunction inhibits CREB activation and CREB transcriptional output, and restoring CREB signaling rescued defects in dendritic branching. Our data therefore provide a novel mechanism by which TDP-43 dysfunction interferes with dendritic branching, and define new pathways for therapeutic intervention in neurodegenerative diseases.

neuroscience↗

bioRxiv2019

MS2-TRIBE evaluates protein-RNA interactions and nuclear organization of transcription by RNA editing

Nearly every step of RNA regulation is mediated by binding proteins (RBPs). The most common method to identify specific RBP target transcripts in vivo is by crosslinking (\"CLIP\" and its variants), which rely on protein-RNA crosslinking and specific antibodies. Another recently introduced method exploits RNA editing, with the catalytic domain of ADAR covalently attached to a specific RBP (\"TRIBE\"). Both approaches suffer from difficulties in distinguishing real RNA targets from false negative and especially false positive signals. To critically evaluate this problem, we used fibroblasts from a mouse where every endogenous {beta}-actin mRNA molecule was tagged with the bacteriophage MS2 RNA stem loops; hence there is only a single bona fide target mRNA for the MS2 capsid protein (MCP). CLIP and TRIBE could both detect the single RNA target, albeit with some false positives (transcripts lacking the MS2 stem loops). Consistent false positive CLIP signals could be attributed to nonspecific antibody crosslinking. To our surprise, the supposed false positive TRIBE targets correlated with the location of genes spatially proximal to the {beta}-actin gene. This result indicates that MCP-ADAR bound to {beta}-actin mRNA contacted and edited nearby nascent transcripts, as evidenced by frequent intronic editing. Importantly, nascent transcripts on nearby chromosomes were also edited, agreeing with the interchromosomal contacts observed in chromosome paint and Hi-C. The identification of nascent RNA-RNA contacts imply that RNA-regulatory proteins such as splicing factors can associate with multiple nascent transcripts and thereby form domains of post-transcriptional activity, which increase their local concentrations. These results more generally indicate that TRIBE combined with the MS2 system, MS2-TRIBE, is a new tool to study nuclear RNA organization and regulation.

cell biology↗

bioRxiv2019

Har-P, a short P-element variant, weaponizes P-transposase to severely impair Drosophila development

Without transposon-silencing Piwi-interacting RNAs (piRNAs), transposition causes an ovarian atrophy syndrome in Drosophila called gonadal dysgenesis (GD). Harwich (Har) strains with P-elements cause severe GD in F1 daughters when Har fathers mate with mothers lacking P-element-piRNAs (i.e. ISO1 strain). To address the mystery of why Har induces severe GD, we bred hybrid Drosophila with Har genomic fragments into the ISO1 background to create HISR-D or HISR-N lines that still cause Dysgenesis or are Non-dysgenic, respectively. In these lines, we discovered a highly truncated P-element variant we named \"Har-P\" as the most frequent de novo insertion. Although HISR-D lines still contain full-length P-elements, HISR-N lines lost functional P-transposase but retained Har-Ps that when crossed back to P-transposase restores GD induction. Finally, we uncovered P-element-piRNA-directed repression on Har-Ps transmitted paternally to suppress somatic transposition. The Drosophila short Har-Ps and full-length P-elements relationship parallels the MITEs/DNA-transposase in plants and SINEs/LINEs in mammals.

molecular biology↗

bioRxiv2017

HyperTRIBE identifies many in vivo targets of a RNA-binding protein

We previously developed TRIBE, a method for the identification of cell-specific RNA binding protein targets. TRIBE expresses an RBP of interest fused to the catalytic domain (cd) of the RNA editing enzyme ADAR and performs Adenosine-to-Inosine editing on RNA targets of the RBP. However, target identification is limited by the low editing efficiency of the ADARcd. Here we describe HyperTRIBE, which carries a previously characterized hyperactive mutation (E488Q) of the ADARcd. HyperTRIBE identifies dramatically more editing sites, many of which are also edited by TRIBE but at a much lower editing frequency. HyperTRIBE therefore more faithfully recapitulates the known binding specificity of its RBP than TRIBE. In addition, separating RNA binding from the enhanced editing activity of the HyperTRIBE ADAR catalytic domain sheds light on the mechanism of ADARcd editing as well as the enhanced activity of the HyperADARcd.

molecular biology↗