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Rahimi, K.

Publications and source records attributed to Rahimi, K..

14 recordsLinked to original sources

Full-Length Context Disrupts Folding of IgG-Binding Domains of Protein A

Multidomain proteins are often thought to fold as collections of independently stable domains, a modularity that underpins many assumptions in structural biology and design. Here, we challenge this view by examining the folding behavior of full-length Staphylococcal protein A (SpA), a 516-residue multidomain protein containing five immunoglobulin (Ig)-binding domains. Although each of the five Ig-binding domains of SpA folds stably in isolation (as it is already known experimentally and also confidently predicted by AI models), here, we show that the full-length construct and the individual Ig-binding domains in the full-length construct fail to adopt a stable three-dimensional structure in solution (despite being predicted to be folded by AI models). Instead, full-length SpA populates a compact yet predominantly disordered ensemble with residual secondary structure, where the folded state of each Ig-binding domain is thermodynamically unfavorable. These findings not only challenge long-held assumptions about the modular architecture and stability of SpA but also underscore the limitations of AI-based predictors when decoupled from the thermodynamic context. This work has implications for validating structure predictions, understanding multidomain architecture, and designing modular proteins for biotechnology and medicine.

biophysics↗

Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A

Continued advances in variant effect prediction are necessary to demonstrate the ability of machine learning methods to accurately determine the clinical impact of variants of unknown significance (VUS). Towards this goal, the ARSA Critical Assessment of Genome Interpretation (CAGI) challenge was designed to characterize progress by utilizing 219 experimentally assayed missense VUS in the Arylsulfa-tase A (ARSA) gene to assess the performance of community-submitted predictions of variant functional effects. The challenge involved 15 teams, and evaluated additional predictions from established and recently released models. Notably, a model developed by participants of a genetics and coding bootcamp, trained with standard machine-learning tools in Python, demonstrated superior performance among sub-missions. Furthermore, the study observed that state-of-the-art deep learning methods provided small but statistically significant improvement in predictive performance compared to less elaborate techniques. These findings underscore the utility of variant effect prediction, and the potential for models trained with modest resources to accurately classify VUS in genetic and clinical research.

genetics↗

53BP1 mediates sensitivity to chemotherapy and is associated with poor clinical outcomes in high-grade serous ovarian cancer

High-grade serous ovarian cancer (HGSOC) remains the most lethal gynecological malignancy in North American women. At a cellular level, the current first-line chemotherapies cause DNA-damage and activate the DNA damage response signalling cascade. Here we explore the role of 53BP1, a central mediator of the DNA damage response, in HGSOC chemotherapy outcomes. Tissue 53BP1 protein levels were quantified in two independent HGSOC cohorts, the COEUR validation cohort (n = 173) and CHUM cohort (n = 56). Univariate and multivariate analyses showed that high nuclear 53BP1 levels in ovarian cancer cells were strongly associated with poor disease-specific survival in both cohorts. High 53BP1 was associated with poor progression-free survival (PFS) in the COEUR cohort, and trended towards poor PFS in the CHUM cohort. These findings were validated by whole-tumour TP53BP1 mRNA of the TCGA Firehose Legacy cohort (n = 591) in which high TP53BP1 mRNA levels were associated with poor overall survival on multivariate analysis. In HGSOC cell lines, 53BP1 levels were positively correlated with resistance to carboplatin using colony formation assay, and depletion of 53BP1 sensitized resistant cell lines to genotoxic therapies. These results suggest that 53BP1 is associated with poor prognosis in HGSOC and may mediate this relationship by modulating cellular sensitivity to chemotherapy. Statement of translational relevanceCurrent first-line chemotherapies in ovarian cancer cause DNA damage and activate the DNA damage response, culminating in the taking of cell fate decisions. 53BP1 is a central mediator in this signalling cascade, where it is involved at multiple levels: signal amplification, recruitment of effectors, DNA repair pathway choice, and cell cycle regulation. However, its role in ovarian cancer treatment outcomes remains unknown. In this study, we found that 53BP1 correlated with poor clinical outcomes in three ovarian cancer patient cohorts and mediated carboplatin sensitivity in ovarian cancer cells. These results reveal 53BP1 and the DNA damage response as important actors in ovarian cancer treatment response. Though further studies are necessary to gain a more complete understanding of their involvement in clinical outcomes, they appear as promising candidates for potential therapeutic targeting in ovarian cancer.

cancer biology↗

A senescence-like state is beneficial for ovarian cancer treatment

High-grade serous ovarian carcinoma (HGSOC) commonly responds to initial therapy, but this response is rarely durable. Understanding cell fate decisions taken by HGSOC cells in response to treatment could guide new therapeutic opportunities. Here we find that tissue-derived primary HGSOC epithelial cultures reflecting the original disease primarily undergo therapy-induced senescence in response to DNA damage and first-line carboplatin/paclitaxel chemotherapy. Unlike previous observations using cell lines, primary HGSOC cell TIS displays a stable senescence proliferation arrest and p16INK4A expression, and is accompanied by persistent DNA damage, an inflammatory secretome, and senolytic sensitivity, suggesting new avenues for selective pharmacological manipulation of these cells. Whether cell senescence induced by cancer therapy is beneficial or detrimental to clinical outcomes remains unknown. Single cell comparison of pre- and post-chemotherapy patient HGSOC tissue samples revealed changes in physio-pathological senescence biomarkers supporting a post-treatment senescence-like state. Importantly, patients with stronger senescence signatures post-chemotherapy displayed better 5-year survival suggesting that senescence accounts, at least in part, for beneficial cellular responses to treatment. Given that ovarian cancer epithelial cells almost universally retain the capacity to undergo senescence and that senescence appears beneficial in this context, HGSOC senescence-centric therapeutic avenues should be further explored. Author SummaryWhether cancer therapy-induced cell fate decisions like senescence are good or bad for patient treatment outcome is unknown. We find that ovarian cancer cells almost universally retain senescence competence and that senescence in treated cancer tissues correlate with good clinical outcomes. This reveals that senescence is a relevant drug target in ovarian cancer.

cancer biology↗

Predicting developmental relationships of tumor resident and circulating T cells in ovarian cancer

Characterizing T cell populations and understanding their developmental relationships may help design more effective cancer immunotherapies. We coupled single-cell transcriptomics and T cell receptor (TCR) {beta} profiling of intratumoral and peripheral T cells in ovarian cancer patients to identify transcriptional programs and infer their relationship by trajectory and TCR overlap analyses. We proposed a model of differentiation pathway from an intermediate GZMH-expressing CD8 T cell subset found in the blood and tumor that progressively reinforces the exhaustion and tissue residency programs from a CCL4-expressing cluster towards XCL1- and CXCL13-expressing terminally exhausted cells. Inferred cell communication analysis suggests that interaction with CXCL13-expressing CD4 T cells, which we refer to as Tfh-like cells, sustains the effector function of this intermediate GZMH-expressing CD8 T cell subset. Moreover, our results suggest that Tfh-like cells attract cells expressing GPR183 through the production of its ligand 7,25 dihydroxycholesterol (7,25-HC). Finally, we demonstrated that GPR183 is highly expressed in a subset of pre-effector GZMK-expressing CD8 T cells and plasmacytoid dendritic cells. Collectively, our results suggest that Tfh-like cells expressing IL-21 help promote antitumor immunity against ovarian tumors by coordinating the action of immune cells responsive to 7,25-HC.

immunology↗

Chemically synthesized guide RNAs can direct CRISPR-CasRx cleavage of circRNAs with high efficiency and specificity

Circular RNAs (circRNAs) are characterized by a covalently closed circular structure, formed from pre-mRNAs through an alternative splicing mechanism named back-splicing. CircRNAs have been shown to play a regulatory role in the development of eukaryotic organisms and to be implicated in human diseases. However, the extensive sequence-overlap between circRNAs and their linear RNA counterparts makes it technically difficult to deplete circRNAs without affecting their linear host, which complicates functional studies. Therefore, it is important to identify the most efficient and specific strategy for circRNA depletion. In this study, we demonstrate that CRISPR/RfxCas13d (CasRx)-mediated circRNA depletion is, for the circRNAs studied, more efficient than Argonaute 2-dependent short hairpin RNA (agoshRNA)-mediated depletion and with fewer off-target effects on the linear host RNAs. Furthermore, we show that synthetic guide RNAs (syn-gRNAs) can be used in combination with CasRx to efficiently deplete circRNA, ciRS-7. Finally, none of the knockdown (KD) strategies tested (pre-gRNA, gRNA, syn-gRNA and agoshRNA) showed any significant off-target effects on the global transcriptome. Taken together, CasRx-mediated circRNA KD strategies, using either vector-based or syn-gRNA, are useful tools for future studies on circRNA functions.

molecular biology↗

Nanopore sequencing of full-length circRNAs in human and mouse brains reveals circRNA-specific exon usage and intron retention

Circular RNA (circRNA) is a poorly understood class of non-coding RNAs, some of which have been shown to be functional important for cell proliferation and development. CircRNAs mainly derive from back splicing events of coding mRNAs, making it difficult to distinguish the internal exon composition of circRNA from the linearly spliced mRNA. To examine the global exon composition of circRNAs, we performed long-read sequencing of single molecules using nanopore technology for human and mouse brain-derived RNA. By applying an optimized circRNA enrichment protocol prior to sequencing, we were able to detect 7,834 and 10,975 circRNAs in human and mouse brain, respectively, of which 2,945 and 7,052 are not currently found in circBase. Alternative splicing was more prevalent in circRNAs than in linear spliced transcripts, and notably >200 not previously annotated exons were used in circRNAs. This suggests that properties associated with circRNA- specific features, e.g. the unusual back-splicing step during biogenesis, increased stability and /or their lack of translation, alter the general exon usage at steady state. We conclude that the nanopore sequencing technology provides a fast and reliable method to map the specific exon composition of circRNA.

genetics↗

miR-216b-5p is Down-Regulated in Human Breast Cancer and Inhibits Proliferation and Progression by Targeting HDAC8 Oncogene

BackgroundPrevious studies showed the role of histone deacetylases (HDACs) on the progression of some malignancies. Recently, there is more attention to therapeutic applications of epigenetic factors such as microRNAs (miRs). To the best of our knowledge, there are no other results regarding the contribution of miR-216b-5p and its potential target, HDAC8, in progression of cancer.\n\nAimIn the present study, we investigated the role of miR-216b-5p on HDAC8 and there following impacts on breast cancer (BC) progression.\n\nMethodsHuman BC specimens and noncancerous tissues were acquired from Iran Tumor Bank (I.T.B). The MDA-MB-231, MCF-7 and MCF-10A BC cell lines were also prepared. The tissue and cell line expression levels of miR-216b-5p and HDAC8 were determined by quantitative real-time PCR (qPCR). Protein levels of HDAC8 were also measured by Western blotting assay. The cell cycle, cell proliferation and colony formation assay were determined and the role of HDAC8 was investigated using a knockout vector. Targeting the 3' untranslated region (3'UTR) of HDAC8 by miR-216b-5p were confirmed using a luciferase reporter assay.\n\nResultsOur results show the significant decline in miR-216b-5p and highly increase in HDAC8 levels in human breast cancer tissues and cell lines. Overexpression of miR-216b-5p in BC cell lines inhibited cellular proliferation and progression and inhibition of miR-216b-5p reverse these effects. We also confirmed that HDAC8 is directly down-regulated by miR-216b-5p. Knockout of HDAC8 had also the effects as miR-216b-5p overexpression. Furthermore, we found that lower levels of miR-216b-5p are negatively correlated with lymph node metastasis and advanced tumor size.\n\nConclusionTaken together, our data shown that targeted overexpression of miR-216b-5p can suppress the growth of BC cells down-regulation of HDAC8. Therefore, inhibition of HDAC8 by miR-216b-5p will be helpful developing newer therapies for the effective treatment of BC.

cancer biology↗

Expression of the miR-302/367 microRNA cluster is regulated by a conserved long non-coding host gene

MicroRNAs (miRNAs) are important regulators of cellular functions. MiR-302/367 is a polycistronic miRNA cluster including miR-302b/c/a/d (collectively termed miR-302s) and miR-367. The cluster is located in the intron of a non-coding host gene. MiR-302s have been shown to repress mRNAs required for differentiation and to induce pluripotency in somatic cells. The stem cell specific transcription factors OCT4, SOX2 and Nanog drive miR-302s expression, however, the reported expression in human and mice indicates a more complex transcriptional regulation. Here we investigate the transcriptional control and the processing of the miR-302 host gene. The murine miR-302 host gene is alternatively spliced, polyadenylated and exported from the nucleus. The regulatory sequences extend at least 2 kb upstream of the transcription start side and contain several conserved binding sites for both transcriptional activators and repressors. Reporter constructs with different upstream regions revealed a significant influence of the more distant regulatory sequences in pluripotent stem cells. The gene structure and regulatory elements like binding sites for activating and repressing transcriptional regulators, splice, and polyadenylation signals are highly conserved between mouse and human. So far, no miR-302 independent function has been annotated for the miR-302 host gene and we hypothesize that the complex and differential regulation of the miRNA transcription and processing might the reason for its conservation. Thus, regulation or micro-RNA expression might be a so far less recognized function of non-coding RNA genes.\n\nAuthor SummaryNon-coding RNAs constitute a large part of the mammalian genome. Interestingly, some long non-coding RNAs (lncRNA) are transcribed and processed in the same way as mRNAs but lack an open reading frame. Here we give evidence that a so far less recognized function of such lncRNAs could be to supply microRNAs with the complex transcriptional control and processing required for their intricate expression. As an example, we analyzed the regulatory sequences of the miR-302/367 host gene. MiR-302/367 is a microRNA cluster involved in the regulation of stem cells and cellular differentiation. We show here that the regulatory region is much more complex than anticipated, a complexity that can not be conferred alone by any of the stem cell specific transcription factors which were so far associated with the expression of miR-302/367.

genetics↗

Transgenic Mice and Pluripotent Stem Cells Express EGFP under the Control of miR-302 Promoter

MicroRNAs are a group of short non-coding RNAs that undertake various roles in different cell signaling pathways and developmental stages. They regulate gene expression levels at the post-transcriptional stage, which results in cleavage of mRNAs or repression of their translation. Some miRNAs, including the miR-302 cluster, are critical regulators for the stemness state of embryonic stem cells and cell fate patterning. The miR-302 cluster is located in the intron of a non-coding gene that has no other reported function, other than hosting miR-302, and grant a complex expression regulation through upstream its regulatory sequences. To date, analysis of the miR-302 expression pattern in a transgenic mouse model has not been reported. In this study, we generated transgenic mice that expressed EGFP driven by miR-302 upstream regulatory sequences that harbored the core promoter of its host gene. We examined the activity of the miR-302 promotor in somatic tissues of transgenic mice, transgenic blastocysts, and embryonic stem cells derived from transgenic blastocysts. Our results showed that miR-302 highly expressed in both blastocysts and the first passages of transgenic embryonic stem cells, and has low expression in the somatic tissues of transgenic mice. It could be concluded that different temporal and spatial gene expression patterns occur during the embryonic and adult stages in mice.

developmental biology↗

Isolation of cancer stem cells by selection for miR-302 expressing cells

Cancer stem cells receive increasing interest because they are believed to be a major reason for long-term therapy failure. The reason for the therapy resistance of cancer stem cells lies partially in their multi-drug resistance and partially in the ability to rest mitotically inactive in the hypoxic center of tumors. Due to their variable number and their often low proliferation rate, cancer stem cells are difficult to purify in decent quantities and to grow in cell culture systems, where they are easily outcompeted by faster growing more differentiated, i.e. less stem cell-like tumor cells. Here we present a proof of principle study based on the idea to select cancer stem cells by means of the expression of a stem cell-specific gene. We inserted a selectable egfp-neo coding sequence in the last exon of the non-coding murine miR-302 host gene. As a stem cell specific regulatory element, we used 2.1 kb of the genomic region immediately upstream of the miR-302 host gene transcription start. Stable transgenic CJ7 embryonic stem cells were used to induce teratomas. After three weeks, tumors were removed for analysis and primary cultures were established. Stem-like cells were selected from these culture based on G418 selection. When the selection was removed, stem cell morphology and miR-302 expression were rapidly lost, indicating that it were not the original ES cells that have been isolated. In conclusion, we show the possibility to use drug resistance expressed from a regulatory sequence of a stem cell-specific marker, to isolate and propagate cancer stem cells that otherwise might be hidden in the majority of tumor cells.

cancer biology↗

Cellular senescence is a central response to cytotoxic chemotherapy in high-grade serous ovarian cancer

High-grade serous ovarian cancer (HGSOC) commonly responds to initial therapy, but this response is rarely durable. Understanding cell fate decisions taken by HGSOC cells in response to treatment could guide new therapeutic opportunities. Here we find that primary HGSOC cultures undergo therapy-induced senescence (TIS) in response to DNA damage induced by chemotherapy. HGSOC-TIS displays most senescence hallmarks including persistent DNA damage, senescence-associated inflammatory secretome, and selective sensitivity to senolytic Bcl-2 family inhibitors, suggesting avenues for preferential synergistic clearance of these cells. Comparison of pre- and post-chemotherapy HGSOC patient tissue samples revealed changes in senescence biomarkers suggestive of post-treatment \"in patient\" TIS, and a stronger TIS response in post-chemotherapy tissues correlated with better 5-year survival rates for patients. Together, these data suggest that the induction of cellular senescence in HGSOC cells accounts at least in part for beneficial cellular responses to treatment in patients providing a new therapeutic target.\n\nOne Sentence SummaryCellular senescence is a central beneficial response to chemotherapy in high-grade serous ovarian cancer both in vitro and in patient.

cancer biology↗

The functional circular RNA, ciRS-7 (CDR1as), is biosynthesized using back-splicing promoted by inverted mammalian-wide MIRs but not primate-specific Alus

Circular RNAs (circRNAs) are stable noncoding RNAs with a closed circular structure. One of the first and best studied circRNAs is ciRS-7 (CDR1as) that acts as a regulator of the microRNA miR-7, however, the biosynthesis pathway has remained an enigma. Here we delineate the biosynthesis pathway of ciRS-7. The back-splicing events that form circRNAs are often facilitated by flanking inverted repeats of the primate-specific Alu elements. ciRS-7 gene lacks these elements but, instead, we identified a set of flanking inverted elements belonging to the mammalian-wide interspersed repeat (MIR) family. Splicing reporter assays in HEK293 cells demonstrated that these inverted MIRs are required to generate ciRS-7 through a back-splicing and CRISPR/Cas9-mediated deletions confirmed the requirement of the endogenous MIR elements in SH-SY5Y cells. Using bioinformatics searches, we identified several other MIR-dependent circRNAs that we confirmed experimentally. We propose that MIR-mediated RNA circularization constitutes a new widespread biosynthesis principle for mammalian circRNAs.

molecular biology↗

Automated detection of sleep-boundary times using wrist-worn accelerometry

ObjectiveCurrent polysomnography-validated measures of sleep status from wrist-worn accelerometers cannot be used in fully automated analysis as they rely on self-reported sleep-onset and -end (sleep-boundary) information. We set out to develop an automated, data-driven approach to sleep-boundary detection from wrist-worn accelerometer data.\n\nMethodsOn three separate occasions, participants were asked to wear a GENEActiv(R) wrist-worn accelerometer for nine days and concurrently complete sleep diaries with lights-off, asleep and wake-up information. We developed and evaluated three data-driven methods for sleep-boundary detection: a change-point detection based method, a thresholding method and a random forest classifier based method. Mean absolute errors between automatically-derived and self-reported sleep-onset and wake-up times were recorded in addition to kappa statistics for the minute-by-minute performance of each of the methods.\n\nResults46 participants provided 972 days of accelerometer recordings with corresponding self-reported sleep information. The three sleep-boundary detection methods resulted in mean absolute errors in sleep-onset and wake-up times per individual of 36 min, 34 min and 33 min and kappa statistics of 0.87, 0.89 and 0.89, respectively.\n\nConclusionOur methods provide a data-driven approach to detect sleep-onset and -end times without the need for self-reported sleep-boundary information. The methods are likely to be of particular use for large-scale studies where the collection of self-reported sleep diaries is impractical.\n\nSignificanceObjective measures of sleep are needed to reliably detect associations with health outcomes. This work lays the foundation for studies of objectively measured sleep duration and its health consequences in large studies.

epidemiology↗