Biology subjects

Ivanov, T.

Publications and source records attributed to Ivanov, T..

4 recordsLinked to original sources

bioRxiv2025

Tre-DST: A new drug susceptibility test for Mycobacterium tuberculosis using solvatochromic trehalose probes

Tuberculosis (TB) is the most lethal cause of death from a single infectious agent. In 2024, an estimated 10 million people developed TB, nearly half a million of which were infected with drug-resistant tuberculosis (DR-TB). Early detection of infection and drug resistance is critical to controlling DR-TB as this enables rapid engagement into effective care. Currently, bacterial culture and nucleic acid testing remain the primary methods for diagnosing infection, with smear microscopy being phased out. However, these methods present significant limitations for diagnosing drug resistance such as lengthy time-to-result for phenotypic tests, as well as the need for prior knowledge of resistance mutations and prohibitive cost for molecular tests. To address this, we developed a rapid phenotypic TB drug susceptibility test, termed Tre-DST, based on novel trehalose probes, which upon metabolic conversion emit enhanced fluorescence signal, giving them their unique ability to specifically detect live mycobacteria. We used the nonpathogenic Mycobacterium smegmatis and the virulence-attenuated Mycobacterium tuberculosis (Mtb) H37Ra or auxotrophic Mtb to demonstrate a strong correlation between cost-effective plate reader results and flow cytometry data, suggesting the fluorescence plate reader is a suitable fluorescence detector for Tre-DST. We determined that adding a one-week incubation step for Mtb allowed samples originally seeded at 104 CFU/mL to become detectable, over two weeks earlier than colony forming unit analysis. Importantly, we found that Tre-DST reports on drug susceptibility in a drug-agnostic manner, demonstrating loss of fluorescence with frontline TB drugs rifampicin (RIF), isoniazid (INH), and ethambutol, as well as the newer drug bedaquiline. Finally, Tre-DST distinguished RIF-and INH-resistant auxotrophs from susceptible controls and accurately reported resistance activity. Ultimately, because Tre-DST is agnostic to mechanisms of drug resistance, this assay is likely compatible with all WHO-recommended DR-TB drugs as well as any future TB drugs as a diagnostic in reference laboratories.

microbiology↗

bioRxiv2021

Transcriptome analysis reveals high tumor heterogeneity with respect to re-activation of stemness and proliferation programs

Significant alterations in signaling pathways and transcriptional regulatory programs together represent major hallmarks of many cancers. These, among all, include the reactivation of stemness, which is registered by the expression of pathways that are active in the embryonic stem cells (ESCs). Here, we assembled gene sets that reflect the stemness and proliferation signatures and used them to analyze a large panel of RNA-seq data from The Cancer Genome Atlas (TCGA) Consortium in order to specifically assess the expression of stemness-related and proliferation-related genes across a collection of different tumor types. We introduced a metric that captures the collective similarity of the expression profile of a tumor to that of ESCs, which showed that stemness and proliferation signatures vary greatly between different tumor types. We also observed a high degree of intertumoral heterogeneity in the expression of stemness- and proliferation-related genes, which was associated with increased hazard ratios in a fraction of tumors and mirrored by high intratumoral heterogeneity across cancer cells in single cell RNA-seq datasets. Taken together, these results indicate that the expression of stemness signatures is highly heterogeneous and cannot be used as a universal determinant of cancer. This calls into question the universal validity of diagnostic tests that are based on stem cell markers. Author summaryCancer is a deadly human disease which is characterized by uncontrolled proliferation of abnormal cells. Stemness, or the expression of stem cell markers, has been identified as a key feature for cancer progression and in many cases correlates with patient survival. In this work, we reanalyzed a large cohort of cancers from TCGA (The Cancer Genome Atlas) collection and single-cell cancer data, and found that the degree of stemness reactivation varies greatly between different tumor types, between different tumors of the same type, and also different cells within a tumor. The observed stemness heterogeneity implies that the expression of stemness markers cannot be used as a universal determinant of cancer and calls into question the validity of stemness-based tests that are frequently used for cancer diagnostics.

bioinformatics↗

bioRxiv2020

Multiple competing RNA structures dynamically control alternative splicing in human ATE1 gene

The mammalian Ate1 gene encodes an arginyl transferase enzyme, which is essential for embryogenesis, male meiosis, and regulation of the cytoskeleton. Reduced levels of Ate1 are associated with malignant transformations and serve as a prognostic indicator of prostate cancer metastasis. The tumor suppressor function of Ate1 depends on the inclusion of one of the two mutually exclusive exons (MXE), exons 7a and 7b. Here, we report that the molecular mechanism underlying MXE splicing in Ate1 involves five conserved regulatory intronic elements R1-R5, of which R1 and R4 compete for base pairing with R3, while R2 and R5 form an ultra-long-range RNA structure spanning 30 Kb. In minigenes, single and double mutations that disrupt base pairings in R1R3 and R3R4 lead to the loss of MXE splicing, while compensatory triple mutations that restore the RNA structure also revert splicing to that of the wild type. Blocking the competing base pairings by locked nucleic acid (LNA)/DNA mixmers complementary to R3 leads to the loss of MXE splicing, while the disruption of the ultra-long-range R2R5 interaction changes the ratio of mutually exclusive isoforms in the endogenous Ate1 pre-mRNA. The upstream exon 7a becomes more included than the downstream exon 7b in response to RNA Pol II slowdown, however it fails to do so when the ultra-long-range R2R5 interaction is disrupted. In sum, we demonstrated that mutually exclusive splicing in Ate1 is controlled by two independent, dynamically interacting and functionally distinct RNA structure modules. The molecular mechanism proposed here opens new horizons for the development of therapeutic solutions, including antisense correction of splicing.

molecular biology↗

bioRxiv2020

Competitive state of actions during planning predicts sequence execution accuracy.

Humans can learn and retrieve novel skilled movement sequences from memory, yet the content and structure of sequence planning are not well understood. Previous computational and neurophysiological work suggests that actions in a sequence are planned as parallel graded activations and selected for output through competition (competitive queuing; CQ). However, the relevance of CQ during planning to sequence fluency and accuracy, as opposed to sequence timing, is unclear. To resolve this question, we assessed the competitive state of constituent actions behaviourally during sequence preparation. In three separate multi-session experiments, 55 healthy participants were trained to retrieve and produce 4-finger sequences with particular timing from long-term memory. In addition to sequence production, we evaluated reaction time (RT) and error rate increase to constituent action probes at several points during the preparation period. Our results demonstrate that longer preparation time produces a steeper CQ activation and selection gradient between adjacent sequence elements, whilst no effect was found for sequence speed or temporal structure. Further, participants with a steeper CQ gradient tended to produce correct sequences faster and with a higher temporal accuracy. In a computational model, we hypothesize that the CQ gradient during planning is driven by the width of acquired positional tuning of each sequential item, independently of timing. Our results suggest that competitive activation during sequence planning is established gradually during sequence planning and predicts sequence fluency and accuracy, rather than the speed or temporal structure of the motor sequence. HighlightsO_LIPre-ordering of actions during sequence planning can be assessed behaviourally C_LIO_LICompetitive gradient reflects sequence preparedness and skill, but not speed or timing C_LIO_LIGradient is retrieved rapidly and revealed during automatic action selection C_LIO_LIPositional tuning of actions boosts the competitive gradient during planning C_LI

neuroscience↗