Biology subjects

Krishna, S.

Publications and source records attributed to Krishna, S..

At least 55 records · Page 3Linked to original sources

bioRxiv2021

Selective inhibition of PfATP6 by artemisinins and identification of new classes of inhibitors after expression in yeast

Treatment failures with artemisinin combination therapies (ACTs) threaten global efforts to eradicate malaria. They highlight the importance of identifying drug targets and new inhibitors and of studying how existing antimalarial classes work. Herein we report the successful development of an heterologous expression-based compound screening tool. Validated drug target P. falciparum calcium ATPase6 (PfATP6) and a mammalian ortholog (SERCA1a) were functionally expressed in yeast providing a robust, sensitive, and specific screening tool. Whole-cell and in vitro assays consistently demonstrated inhibition and labelling of PfATP6 by artemisinins. Mutations in PfATP6 resulted in fitness costs that were ameliorated in the presence of artemisinin derivatives when studied in the yeast model. As previously hypothesised, PfATP6 is a target of artemisinins. Mammalian SERCA1a can be mutated to become more susceptible to artemisinins. The inexpensive, low technology yeast screening platform has identified unrelated classes of druggable PfATP6 inhibitors. Resistance to artemisinins may depend on mechanisms that can concomitantly address multi-targeting by artemisinins and fitness costs of mutations that reduce artemisinin susceptibility.

pharmacology and toxicology↗

bioRxiv2021

Emergence of networks of shared restriction-modification systems in phage-bacteria ecosystems

1Restriction-modification (RM) systems are the most ubiquitous bacterial defense system against bacteriophages and an important part of controlling phage predation. Using genomic sequence data, we show that RM systems are often shared among bacterial strains in a structured way. Examining the network of interconnections between bacterial strains within each genus, we find that in many genera strains share more RM systems than expected from a random network. We also find that many genera have a larger than expected number of bacterial strains with unique RM systems. We use population dynamics models of closed and open phage-bacteria ecosystems to qualitatively understand the selection pressures that could lead to these non-random network structures with enhanced overlap or uniqueness. In our models we find that the phages impose a pressure that favours bacteria with more RM systems, and more overlap of RM systems with other strains, but in bacteria dominated states this is opposed by the increased cost to the growth rate of these bacteria. Similar to what we observe in the genome data, we find that two distinct bacterial strategies emerge - strains either have a larger overlap than expected, or they have more unique RM systems than one expects from a null model. The former strategy appears to dominate when the repertoire of available RM systems is smaller but the average number of RM systems per strain is larger.

microbiology↗

bioRxiv2021

Snail maintains the stem/progenitor state of skin epithelial cells and carcinomas through the autocrine effect of the matricellular protein Mindin

Intratumoral heterogeneity poses a major challenge in designing effective anti-cancer strategies. Accumulating evidence suggests that this heterogeneity arises from cancer stem cells (CSCs) that also drives tumor aggressiveness and drug resistance. The stemness of CSCs are preserved by an ill-defined combination of intrinsic and external factors and is particularly intriguing since they exist within a sea of similar cells at various degrees of differentiation. In models of cutaneous squamous cell carcinoma (cSCC), we discovered a non-EMT function for the transcription factor Snail in maintaining stemness of keratinocytes. This is accomplished by the secretion of the matricellular protein Mindin from Snail expressing cells, which creates a protective niche that impedes differentiation. In an autocrine fashion, extracellular Mindin activates a Src -STAT3 pathway to reinforce the stem/progenitor phenotype and disruption of this signalling module in human cSCC attenuates tumorigenesis. The expression of Mindin in multiple carcinomas, and its critical role in cancer progression suggests that it would be a promising target for therapeutic intervention.

cell biology↗

bioRxiv2021

Functional alterations in cortical processing of speech in glioma-infiltrated cortex

Recent developments in the biology of malignant gliomas have demonstrated that glioma cells interact with neurons through both paracrine signaling and electrochemical synapses. Glioma-neuron interactions consequently modulate the excitability of local neuronal circuits, and it is unclear the extent to which glioma-infiltrated cortex can meaningfully participate in neural computations. For example, gliomas may result in a local disorganization of activity that impedes the transient synchronization of neural oscillations. Alternatively, glioma-infiltrated cortex may retain the ability to engage in synchronized activity, in a manner similar to normal-appearing cortex, but exhibit other altered spatiotemporal patterns of activity with subsequent impact on cognitive processing. Here, we use subdural electrocorticography to sample both normal-appearing and glioma-infiltrated cortex during speech. We find that glioma-infiltrated cortex engages in synchronous activity during task performance in a manner similar to normal-appearing cortex, but recruits a diffuse spatial network. On a temporal scale, we show that glioma-infiltrated cortex has lower capacity for information encoding when performing nuanced tasks such as speech production of monosyllabic versus polysyllabic words. As a result, temporal decoding strategies for distinguishing monosyllabic from polysyllabic words were feasible for signals arising from normal-appearing cortex, but not from glioma-infiltrated cortex. These findings inform our understanding of cognitive processing in chronic disease states and have implications for neuromodulation and prosthetics in patients with malignant gliomas. Significance StatementAs gliomas proliferate, they infiltrate healthy brain tissue. Often, patients with such tumors in the language areas of the brain develop aphasia. Understanding how gliomas interact with normal neural circuits is critical for developing neuroprostheses that restore speech. Recent evidence demonstrates that glioma cells interact synaptically with neurons, and thus can modulate neural circuits. However, it is unclear the extent to which glioma-infiltrated cortex participates in cognitive processing. Using electrocorticography to record both glioma-infiltrated and normal-appearing cortex during speech, we found that glioma-infiltrated cortex is capable of coordinated neural responses, but has reduced capacity for information encoding. Instead, glioma-infiltrated cortex recruits a broader network of cortical regions during speech, which may represent a compensatory mechanism with implications for future neuroprostheses.

neuroscience↗

bioRxiv2021

Glioblastoma remodeling of neural circuits in the human brain decreases survival

Gliomas synaptically integrate into neural circuits. Prior work has demonstrated bidirectional interactions between neurons and glioma cells, with neuronal activity driving glioma growth and gliomas increasing neuronal excitability. In this study we wanted to know how glioma induced neuronal changes influence neural circuits underlying cognition and whether these interactions influence patient survival. We use intracranial brain recordings during lexical retrieval language tasks in awake humans in addition to site specific tumor tissue biopsies and cell biology experiments. We find that gliomas remodel functional neural circuitry such that task-relevant neural responses activate tumor-infiltrated cortex, beyond cortical excitation normally recruited in the healthy brain. Site-directed biopsies from functionally connected regions within the tumor are enriched for a glioblastoma subpopulation that exhibits a distinct synaptogenic and neuronotrophic phenotype. Tumor cells from functionally connected regions secrete the synaptogenic factor thrombospondin-1, which contributes to the differential neuron-glioma interactions observed in functionally connected tumor regions compared to tumor regions with less functional connectivity. The degree of functional connectivity between glioblastoma and the normal brain negatively impacts both patient survival and language task performance. These data demonstrate that high-grade gliomas functionally remodel neural circuits in the human brain, which both promotes tumor proliferation and impairs cognition.

cancer biology↗

bioRxiv2020

Arsenic trioxide resistance in acute promyelocytic leukemia: More to it than PML mutations

Acquired genetic mutations can confer resistance to arsenic trioxide (ATO) in the treatment of acute promyelocytic leukemia (APL). However, such resistance-conferring mutations are rare and do not explain the majority of disease recurrence seen in the clinic. We have generated a stable ATO resistant promyelocytic cell from a ATO sensitive NB4 cell line. We also noted that another ATRA resistant cell line (UF1) was cross resistant to ATO. We have characterized these resistant cell lines and observed that they significantly differed in their immunophenotype, drug transporter expression, drug resistance mutation profile and were also cross-resistant to other conventional chemotherapeutic agents. The NB4 derived resistant cell line had the classical A216V PML-B2 domain mutation while the UF1 cell line did not. Gene expression profiling revealed prominent dysregulation of the cellular metabolic pathways in the resistant cell lines. Glycolytic inhibition by 2-DG was efficient and comparable to the standard of care (ATO) in targeting the sensitive APL cell lines and was also effective in the in vivo transplantable APL mouse model; however, it did not affect the ATO resistant cell lines. The survival of the resistant cell lines was significantly affected by compounds targeting the mitochondrial respiration irrespective of the existence of ATO resistance-conferring genetic mutations. Our data demonstrate the addition of mitocans can overcome ATO resistance. We further demonstrated that the combination of ATO and mitocans has the potential in the treatment of non-M3 AML and the translation of this approach in the clinic needs to be explored further. Key pointsO_LIMetabolic rewiring promotes ATO resistance, which can be overcome by targeting mitochondrial oxidative phosphorylation. C_LIO_LICombination of ATO and mitocans can be exploited as a potential therapeutic option for relapsed APL and in non-M3 AML patients. C_LI

cancer biology↗

bioRxiv2020

Defense versus growth in a hostile world - Lessons from phage and bacteria

Bacterial communities are often highly diverse with several closely related species (or strains) coexisting together. These bacteria compete for resources and the competitive exclusion principle predicts that all but the fastest-growing bacteria will go extinct. When exposed to phage, it is predicted that bacterial strains with restriction-modification (RM) systems can circumvent the competitive exclusion principle and reach diversity on the order of the phage burst size. We show that with a trade-off between bacterial growth rates and the strength of their RM systems, the diversity of such an ecosystem can further increase several fold beyond the burst size limit. Moreover, we find that the ratio of the growth rate of a bacterial strain to the imperfection of its RM system is an excellent predictor of (i) whether the strain will go extinct or not, and (ii) the biomass of the strain if it survives. In contrast, the growth rate alone is not a determinant of either of these properties. Our work provides a quantitative example of a model ecosystem where the fitness of a species is determined not by growth rate, but by a trade-off between growth and defence against predators.

ecology↗

bioRxiv2020

Metabolite plasticity drives carbon-nitrogen resource budgeting to enable division of labor in a clonal community

Previously, we discovered that in glucose-limited yeast colonies, metabolic constraints drive cells into groups exhibiting gluconeogenic and glycolytic metabolic states. Here, threshold amounts of trehalose - a limiting, produced resource, controls the emergence and self-organization of the cells exhibiting the glycolytic state, by acting as a carbon source to fuel these metabolic demands (Varahan et al., 2019). We now discover that the plasticity of use of a non-limiting resource, aspartate, controls both resource production and the emergence of heterogeneous cell states, based on differential cellular metabolic budgeting. In gluconeogenic cells, aspartate provides carbon for trehalose production, while in glycolytic cells using trehalose for carbon, aspartate supplies nitrogen to drive nucleotide synthesis. This metabolic plasticity of aspartate enables carbon-nitrogen budgeting, thereby driving the biochemical self-organization of distinct cell states. Through this organization, cells in each state exhibit true division of labor, providing bet-hedging and growth/survival advantages for the whole community.

cell biology↗

bioRxiv2020

Asymmetric chromosome segregation and cell division in DNA damage-induced bacterial filaments

Faithful propagation of life requires coordination of DNA replication and segregation with cell growth and division. In bacteria, this results in cell size homeostasis and periodicity in replication and division. The situation is perturbed under stress such as DNA damage, which induces filamentation as cell cycle progression is blocked to allow for repair. Mechanisms that release this morphological state for re-entry into wild type growth are unclear. Here we show that damage recovery is mediated via asymmetric division of Escherichia coli filaments, producing short daughter cells with wild type size and growth dynamics. Division restoration at this polar site is governed by coordinated action of divisome positioning by the Min system and modulation of division licensing by the terminus region of the chromosome, with MatP playing a central role in this process. Collectively, our study highlights a key role for concurrency between chromosome (and specifically terminus) segregation and cell division in daughter cell size maintenance during filamentous divisions and suggests a central function for asymmetric division in mediating cellular recovery from a stressed state.

microbiology↗

bioRxiv2019

DETECTing Merkel cell Polyomavirus in Merkel Tumours

Merkel cell carcinoma (MCC) is a rare, aggressive skin cancer caused either by Merkel cell polyomavirus (MCV) T antigen expression, post integration ([~]80% cases), or by UV mediated DNA damage. Interestingly, overall survival of patients suffering from MCV positive Merkel cell carcinoma is better, making this differential information of significant diagnostic and prognostic value. Also, MCV as a causative agent also provides a direct target for therapy in virus positive MCC patients. Currently, the methods used for diagnosis of MCV in tumours are often tedious, discordant and unreliable. In this study we used a guided molecular scissors based - DNA Endonuclease Targeted CRISPR Trans Reporter (DETECTR) technique to develop an in vitro molecular diagnostic tool for MCV positive MCC. DETECTR couples recombinase polymerase based amplification of target MCV DNA with Cas12a mediated detection. CRISPR diagnostics couple specific detection followed by cutting of the pathogenic DNA by the Cas enzyme - gRNA complex, with non-specific cutting of ssDNA that provides a measurable visual cue. To detect MCV DNA in MCC tumours, we designed Cas12a gRNAs targeting the MCV DNA and tested their targeting efficiency, and sensitivity using a fluorophore quencher labeled reporter assay. We show that this sophisticated MCV DETECTR system can detect MCV integrated in Merkel tumour rapidly, specifically and with femto-molar sensitivity. This new MCV DNA detecting system is promising and we hope it can be coupled with histopathological and immunohistochemical studies to diagnose the viral status of MCC in clinics in the near future.

molecular biology↗

bioRxiv2019

Next-Gen sequencing of novel pandemic swine flu virus in India revealed novel mutations across the genome

The Influenza A H1N1 virus of 2009 was the first pandemic flu virus of the 21st century. Identifying the emergence of mutations in rapidly mutating Influenza viruses that allow increased transmission or confer resistance are invaluable to global outbreak response. Here we recovered 5 complete Influenza A genomes from 4 oropharygeal swabs and one cell culture isolate from a severe Indian outbreak of flu in early 2015. Multiple amino acids substitutions including those known to confer resistance to Oseltamivir and increased pathogenecity in mice were found in the Neuraminidase gene. Additional mutations both reported and novel were found throughout the genome compared to the vaccine strain (California/04/2009). All eight segments of the complete genomes were found to be genetically related to the 2009 pandemic strain, A(H1N1)pdm09 and belonging to the emerging genogroup 6B. This group was found to be of south East Asian origin by time scale phylogentic analysis. A phylogeographic analysis revealed 39 significant migration events among globally circulating viruses. This study is the first extensive complete genome and phylogeographic analysis of 2015 Indian A(H1N1) pdm09 viruses. We report several novel mutations in the 2015 Indian strains which need to be evaluated for effect on viral replication, transmission and resistance to therapy. The identification of mutant A(H1N1)pdm09 from India warrants continuous monitoring of viral evolution for implementation of suitable medical countermeasures.

genomics↗

bioRxiv2019

Constraints on somite formation in developing embryos

Segment formation in vertebrate embryos is a stunning example of biological self-organisation. Here, we present an idealized model of the presomitic mesoderm (PSM) as a one-dimensional line of oscillators. We use the model to derive constraints that connect the size of somites, and the timing of their formation, to the growth of the PSM and the gradient of the somitogenesis clock period across the PSM. Our analysis recapitulates the observations made recently in ex-vivo cultures of mouse PSM cells, and makes predictions for how perturbations, such as increased Wnt levels, would alter somite widths. Finally, our model makes testable predictions for the shape of the phase profile and somite widths at different stages of PSM growth. In particular, we show that the phase profile is robustly concave when the PSM length is steady and slightly convex in an important special case when it is decreasing exponentially. In both cases, the phase profile scales with the PSM length; in the latter case, it scales dynamically. This has important consequences for the velocity of the waves that traverse the PSM and trigger somite formation, as well as the effect of errors in phase measurement on somite widths.

developmental biology↗

bioRxiv2019

Metabolic constraints drive self-organization of specialized cell groups

How phenotypically distinct states in isogenic cell populations appear and stably co-exist remains an unresolved question. We find that within a clonal yeast colony developing in low glucose, cells arrange into metabolically disparate cell groups. Using this system, we model and experimentally identify metabolic constraints sufficient to drive such assembly. Beginning in a gluconeogenic state, cells in a contrary state, exhibiting high pentose phosphate pathway activity, spontaneously appear and proliferate, in a spatially constrained manner. The gluconeogenic cells in the developing colony produce a resource, which we identify as trehalose. At threshold concentrations of trehalose, cells in the new metabolic state emerge and proliferate. A self-organized system establishes, where cells in this new state are sustained by trehalose consumption, which thereby restrains other cells in the trehalose producing, gluconeogenic state. Our work suggests simple physico-chemical principles that determine how isogenic cells spontaneously self-organize into structured assemblies in complimentary, specialized states.

cell biology↗

bioRxiv2018

Multifunctional CRISPR/Cas9 with engineered immunosilenced human T cell epitopes

The application of Cas9 for genetic and epigenetic therapies in humans raises concerns over immunogenicity of this foreign protein. We report pre-existing human CD8+ T cell immunity to Streptococcus pyogenes Cas9 in the majority of healthy individuals screened. In a proof-of-principle study, we demonstrate that Cas9 protein can be modified to eliminate immunodominant epitopes through targeted mutation while preserving its function and specificity.

immunology↗

bioRxiv2017

A Suv39H1-low chromatin state drives migratory cell populations in cervical cancer

The emergence of migratory cell populations within tumours represents a critical early stage during cancer metastasis. We have previously reported one such population, marked by CD66, in cervical cancers. It is unclear what broad mechanisms regulate such migratory populations. Here, we describe the role of a Suv39H1-low heterochromatin state as a driver of cervical cancer migratory populations. Cervical cancer cells sorted based on migratory ability in vitro show low Suv39H1, and Suv39H1 knockdown enhances cell migration. Histopathology shows the emergence of migratory Suv39H1low populations in advanced carcinoma progression. Meta-analysis of data from The Cancer Genome Atlas (TCGA) reveals that Suv39H1-low tumours show migration and CD66 expression signatures, and correlate with lower patient survival. Lastly, genome-wide profiling of migrated populations using RNA-Seq and H3K9me3 ChIP-Seq reveals Suv39H1-linked transcriptome alterations and a broad loss of H3K9me3, suggesting an increase in chromatin plasticity in migrated populations. The understanding of such chromatin based regulation in migratory populations may prove valuable in efforts to develop anti-metastatic strategies.

cancer biology↗

bioRxiv2017

A minimal "push-pull" bistability model explains oscillations between quiescent and proliferative cell states.

A minimal model for oscillating between quiescent and growth/proliferation states, dependent on the availability of a central metabolic resource, is presented. From the yeast metabolic cycles (YMCs), metabolic oscillations in oxygen consumption are represented as transitions between quiescent and growth states. We consider metabolic resource availability, growth rates, and switching rates (between states) to model a relaxation oscillator explaining transitions between these states. This frustrated bistability model reveals a required communication between the metabolic resource that determines oscillations, and the quiescent and growth state cells. Cells in each state reflect memory, or hysteresis of their current state, and \"push-pull\" cells from the other state. Finally, a parsimonious argument is made for a specific central metabolite as the controller of switching between quiescence and growth states. We discuss how an oscillator built around the availability of such a metabolic resource is sufficient to generally regulate oscillations between growth and quiescence, through committed transitions.

systems biology↗

bioRxiv2017

Complete assembly of a dengue virus type 3 genome from a recent genotype III clade by metagenomic sequencing of serum

BackgroundMosquito-borne flaviviruses causing diseases such as dengue and Japanese encephalitis are devastating, particularly in the tropics. Although, multiple flaviviruses are known to co-circulate in India, when a patient presents with febrile illness, testing is usually limited to specific pathogens. Unbiased metagenomic sequencing of febrile cases can reveal the presence of multiple pathogens and provide complete genome information. Sequence information, a cornerstone for tracing virus evolution, is relevant for the design of vaccines and therapeutics. In order to assess the usefulness of unbiased metagenomic sequencing for the identification of viruses associated with febrile illness, we sequenced serum from four individuals and plasma from one individual, all hospitalized at a tertiary care centre in South India with severe or prolonged febrile illnesses, together with one healthy control in 2014.\n\nResultsWe identified and assembled a complete dengue virus type 3 (DENV3) sequence from the serum of a case classified as severe dengue. We also found a small number of Japanese encephalitis virus (JEV) sequences in the serum of two adults with febrile illness, including the one who had dengue. Phylogenetic analysis of the dengue sequence indicates that it belongs to a predominantly Asian, DENV3, genotype III clade. It had an estimated divergence time of 13.86 years (95% Highest Posterior Densities 12.94 - 14.83 years) with the closest Indian strain. Amino acid substitutions were present throughout the sequenced genome, including 11 substitutions in the antigenic envelope protein compared to the strain used for the development of the first commercial dengue vaccine. Of these one substitution (E361D) was unique and six were in critical antigenic sites.\n\nConclusionsWe demonstrate that both genome assembly and detection of a low number of viral sequences are possible by unbiased sequencing of clinical material. Complete dengue virus sequence analysis places the sequenced genome in a recent, predominantly Asian clade within genotype III of DENV3. The detection of JEV, an agent not routinely tested in febrile illness in India, warrants further analysis and highlights the need to study co-circulating flaviviruses in parallel.

microbiology↗

bioRxiv2017

Evidence of sinks and sources in the PLC activated PIP2 cycle

In many eukaryotic signalling cascades, receptor mediated phospholipase C (PLC) activity triggers phosphatidylinositol 4,5 bisphosphate (PIP2) hydrolysis leading to information transfer in cells. Coupled with PLC activation is a sequence of reactions spread across multiple compartments by which PIP2 is resynthesized, a process essential to maintain PIP2 levels and support sustained PLC signalling. The biochemical strategies to co-ordinate these reactions and support PIP2 levels have remained poorly understood. In particular, the question of whether the PIP2 cycle is a closed cycle with no net addition or loss of metabolites has not been addressed. Using mathematical modelling approaches, we find that a closed PIP2 cycle cannot explain experimentally observed changes in the metabolic intermediates when changing enzyme activities in the PIP2 cycle. Thus, we propose that the PIP2 cycle likely includes at least one metabolic source and one sink whose net activity results in the experimentally observed regulation of this key signalling pathway.

biophysics↗