Biology subjects

Miura, S.

Publications and source records attributed to Miura, S..

36 records · Page 2Linked to original sources

bioRxiv2024

Anemonefish use sialic acid metabolism as Trojan horse to avoid giant sea anemone stinging

Anemonefish association with giant sea anemone is an iconic example of mutualistic symbiosis. Living inside the sea anemone without triggering the firing of highly toxic nematocysts present at the surface of sea anemone tentacles provides a unique shelter to the fish, which in return, by its territorial aggressiveness, protects the sea anemone from predators. The mechanisms by which the fish avoids triggering nematocysts discharge remain elusive. One hypothesis proposes that absence of sialic acids might disable nematocysts discharge. Here, we verified four predictions about the role of sialic acids in anemonefish protection: (i) sialic acid levels are lower in anemonefish mucus than in non-symbiotic and sensitive damselfish mucus; (ii) this decrease is specific to mucus and not observed in other organs; (iii) during post-embryonic development the levels of sialic acids are inversely correlated with the level of protection; (iv) the levels of sialic acids are minimal in sea anemone mucus. Taken together, our results allow us to propose a general model, in which anemonefish specifically regulates the level of sialic acids in their mucus to avoid nematocysts discharge. Our analysis also highlights several genes implicated in sialic acid removal as potential targets for allowing protection. Interestingly, our results also suggest that unrelated juveniles of damselfish (Dascyllus trimaculatus) capable to live in proximity with giant sea anemone may use the same mechanisms. Altogether, our data suggest that clownfish use sialic acids as a Trojan horse system to downplay the defenses of the sea anemones and illustrate the convergent tinkering used by fish to allow a mutualistic association with their hosts. Significance statementThe mutualistic relationship between anemonefish and giant sea anemones, where the fish shelter among the anemones tentacles while defending it from predators, is a classic example of symbiosis. However, how the fish avoids triggering the anemones venomous nematocysts has remained a mystery. This study reveals that the fish decrease the levels of sialic acids in their mucus, potentially preventing nematocyst discharge. This finding shed light on the mechanisms underlying this symbiotic relationship. Moreover, the discovery that unrelated damselfish may employ similar strategies underscores the broader significance of convergent adaptations in facilitating similar mutualistic associations in marine fishes.

zoology↗

bioRxiv2024

Fragility of ER homeostatic regulation underlies haploid instability in human somatic cells

Mammalian somatic cells are generally unstable in the haploid state, resulting in haploid-to-diploid conversion within a short time frame. However, cellular and molecular principles that limit the sustainability of somatic haploidy remain unknown. In this study, we found the haploidy-linked vulnerability to ER stress as a critical cause of haploid intolerance in human somatic cells. Pharmacological induction of ER stress selectively induced apoptosis in haploid cells, facilitating the replacement of haploids by co-existing diploidized cells in a caspase-dependent manner. Biochemical analyses revealed that unfolded protein response (UPR) was activated with similar dynamics between haploids and diploids upon ER stress induction. However, haploids were less efficient in solving proteotoxic status, resulting in a bias toward a proapoptotic mode of UPR signaling. Artificial replenishment of chaperone function or inhibition of a UPR signal transducer ATF6 substantially alleviated the haploidy-linked upregulation of proapoptotic signaling and improved haploid cell retention under ER stress. These data demonstrate that the ER stress-driven haploid instability stems from inefficient proteostatic control that alters the functionality of UPR to cause apoptosis selectively in haploids. Interestingly, haploids suffered a higher level of protein aggregation even in unperturbed conditions, and the long-term stability of the haploid state was significantly improved by alleviating their natural proteotoxicity. Based on these results, we propose that the haploidy-specific vulnerability to ER stress creates a fundamental cause of haploid intolerance in mammalian somatic cells. Our findings provide new insight into the principle that places a stringent restriction on the evolution of animal life cycles.

biochemistry↗

bioRxiv2023

Sclerostin modulates the degree of mineralization and the stiffness profile of the fibrocartilaginous enthesis for mechanical tissue integrity

Fibrocartilaginous entheses consist of four graded tissue layers including tendon, the unmineralized and mineralized fibrocartilage, and subchondral bone with varying degrees of stiffness. Here we examined the functional role of sclerostin that is expressed in mature mineralized fibrochondrocytes. Following rapid mineralization of the unmineralized fibrocartilage and parallel replacement of epiphyseal hyaline cartilage by bone, the unmineralized fibrocartilage re-expanded after a decline in alkaline phosphatase activity at the mineralization front. Sclerostin was co-expressed with osteocalcin in the bottom of the mineralized fibrocartilage adjacent to subchondral bone. In Scx deficient mice with less mechanical loading due to defects of the Achilles tendon, the number of sclerostin+ fibrochondrocytes was significantly reduced in the defective enthesis where chondrocyte maturation was markedly impaired in both fibrocartilage and hyaline cartilage. Loss of the Sost gene, coding for sclerostin, caused increased mineral density in the mineralized zones of the fibrocartilaginous enthesis. Atomic force microscopy analysis revealed the higher stiffness of fibrocartilage. These lines of evidence suggest that sclerostin in mature mineralized fibrochondrocytes acts as a modulator for mechanical tissue integrity of the fibrocartilaginous enthesis.

developmental biology↗

bioRxiv2023

Variability in radiocesium activity concentration in growing hardwood shoots in Fukushima, Japan

The radiocesium contamination caused by the Fukushima Daiichi Nuclear Power Plant accident has made it difficult to use coppice woods as bed logs for mushroom cultivation. Evaluating the variability in the radiocesium activity concentration of logs is necessary in order to predict how many coppice woodlands are available for producing mushroom bed logs. To clarify the variability in radiocesium activity concentrations and to estimate the sample size required to estimate these concentrations with sufficient accuracy, we modeled the log-transformed radiocesium activity concentrations in growing shoots of hardwoods. We designed two models: (1) a model with mean concentrations that varied among stands with a standard deviation that was the same among stands, and (2) a model with varying means and standard deviations. We fit the data pertaining to only Quercus serrata to both models and calculated the widely applicable information criterion values. Consequently, we adopted the simpler model (1). Applying the selected model to data for all species, we examined the relationship between the number of measurement individuals and the predictive distribution of the expected concentration. Based on previous recommendations and measurement costs, we proposed that five individuals would be appropriate for estimating radiocesium activity concentration in a stand.

plant biology↗

bioRxiv2023

Anemonefish are better taxonomists than humans.

The symbiosis between giant sea anemones, photosynthetic algae of the family Symbiodiniaceae, and anemonefish is an iconic example of a mutualistic "menage a 3"1. Patterns of associations among 28 species of anemonefish and 10 species of giant sea anemone hosts are complex: Some anemonefish species are highly specialized to inhabit only one species of sea anemone (e.g., Amphiprion frenatus with Entacmaea quadricolor), whereas others are more generalist and can live in almost any host species (e.g., Amphiprion clarkii)1,2,3. Reasons for host preferences and the mechanisms involved are obscured, among other things, by the lack of resolution of giant sea anemone phylogeny. Recent molecular analyses have shown that giant sea anemones hosting anemonefish belong to three distinct clades: Entacmaea, Stichodactyla, and Heteractis4,5,6. Inside these clades, however, species delimitation has been impeded by morphological variability of the giant sea anemones and is poorly resolved with classical markers4,5. Here, we employed an extensive transcriptomic dataset from 55 sea anemones collected from southern Japan to build a robust phylogeny. With this dataset, we observed that the bubble-tip sea anemone E. quadricolor, currently considered to be a single species, can in fact be separated into at least four distinct cryptic lineages (A-D). Moreover, these lineages can be precisely distinguished by their association with anemonefish: A. frenatus is only found associated with lineage D, whereas A. clarkii lives in the other three lineages.

evolutionary biology↗

bioRxiv2023

Transcription factor-mediated direct cellular reprogramming yields cell-type specific DNA methylation signature

Direct reprogramming is a technique for inducing the conversion of one type of somatic cell into another by the forced expression of defined transcription factors. Cell differentiation is generally determined by specific gene expression profiles based on distinct genome-wide epigenetic signatures. Although the CpG methylation of genomic DNA is an essential epigenetic factor that affects the transcriptional state of genes, little is known about how DNA methylation changes and what roles it plays in direct reprogramming. Here, we performed comparative genome-wide DNA methylation analyses of mouse embryonic fibroblasts (MEFs) and cells composing organoids formed by intestinal stem cells (ISCs) or induced ISCs (iISCs) that were directly induced from MEFs to investigate the impact of DNA methylation dynamics on direct reprogramming. We found that the methylation state of CpG was similar between cells forming ISC organoids and iISC organoids, while they differed widely from those in MEFs. Moreover, genomic regions that were differentially methylated between ISC organoid- and iISC organoid-forming cells did not significantly affect gene expression. These results demonstrate the accuracy and safety of iISC induction, as they show that the DNA methylation state transitions to a state close to that of ISCs during direct reprogramming from MEFs to iISCs.

cell biology↗

bioRxiv2022

The chromosome-scale genome assembly of the yellowtail clownfish Amphiprion clarkii provides insights into melanic pigmentation of anemonefish

Anemonefish are an emerging group of model organisms for studying genetic, ecological, evolutionary, and developmental traits of coral reef fish. The yellowtail clownfish Amphiprion clarkii possesses species-specific characteristics such as inter-species co-habitation, high intra-species color variation, no anemone specificity, and a broad geographic distribution, that can increase our understanding of anemonefish evolutionary history, behavioral strategies, fish-anemone symbiosis, and color pattern evolution. Despite its position as an emerging model species, the genome of A. clarkii is yet to be published. Using PacBio long-read sequencing and Hi-C chromatin capture technology, we generated a high-quality chromosome-scale genome assembly initially comprised of 1,840 contigs with an N50 of 1,203,211 bp. These contigs were successfully anchored into 24 chromosomes of 843,582,782 bp and annotated with 25,050 protein-coding genes encompassing 97.0 % of conserved actinopterygian genes, making the quality and completeness of this genome the highest amongst all published anemonefish genomes to date. Transcriptomic analysis identified tissue-specific gene expression patterns, with the brain and optic lobe having the largest number of expressed genes. Further analyses revealed higher copy numbers of erbb3b (a gene involved in melanophore development) in A. clarkii compared to other anemonefish, thus suggesting a possible link between erbb3b and the natural melanism polymorphism observed in A. clarkii. The publication of this high-quality genome, along with A. clarkiis many unique traits, position this species as an ideal model organism for addressing scientific questions across a range of disciplines.

genomics↗

bioRxiv2022

The multi-level regulation of clownfish metamorphosis by thyroid hormones

Most marine organisms have a biphasic life cycle during which a pelagic larva is transformed into a radically different juvenile. In vertebrates the role of thyroid hormones (TH) in triggering this transition is well known, but how the morphological and physiological changes are integrated in a coherent way with the ecological transition remains poorly explored. To gain insight into this question, we performed an integrative analysis of metamorphosis of a marine teleost, the clownfish Amphiprion ocellaris. We reveal how TH coordinate a change in color vision as well as a major metabolic shift in energy production, hence highlighting its central integrative role in regulating this transformation. By manipulating the activity of LXR, a major regulator of metabolism, we also reveal a tight link between metabolic changes and metamorphosis progression. Strikingly, we observed that these regulations are at play in the wild revealing how hormones coordinate energy needs with available resources during life cycle.

developmental biology↗

bioRxiv2021

TopHap: Rapid inference of key phylogenetic structures from common haplotypes in large genome collections with limited diversity

MotivationBuilding reliable phylogenies from very large collections of sequences with a limited number of phylogenetically informative sites is challenging because sequencing errors and recurrent/backward mutations interfere with the phylogenetic signal, confounding true evolutionary relationships. Massive global efforts of sequencing genomes and reconstructing the phylogeny of SARS-CoV-2 strains exemplify these difficulties since there are only hundreds of phylogenetically informative sites and millions of genomes. For such datasets, we set out to develop a method for building the phylogenetic tree of genomic haplotypes consisting of positions harboring common variants to improve the signal-to-noise ratio for more accurate phylogenetic inference of resolvable phylogenetic features. ResultsWe present the TopHap approach that determines spatiotemporally common haplotypes of common variants and builds their phylogeny at a fraction of the computational time of traditional methods. To assess topological robustness, we develop a bootstrap resampling strategy that resamples genomes spatiotemporally. The application of TopHap to build a phylogeny of 68,057 genomes (68KG) produced an evolutionary tree of major SARS-CoV-2 haplotypes. This phylogeny is concordant with the mutation tree inferred using the co-occurrence pattern of mutations and recovers key phylogenetic relationships from more traditional analyses. We also evaluated alternative roots of the SARS-CoV-2 phylogeny and found that the earliest sampled genomes in 2019 likely evolved by four mutations of the most recent common ancestor of all SARS-CoV-2 genomes. An application of TopHap to more than 1 million genomes reconstructed the most comprehensive evolutionary relationships of major variants, which confirmed the 68KG phylogeny and provided evolutionary origins of major variants of concern. AvailabilityTopHap is available on the web at https://github.com/SayakaMiura/TopHap. Contacts.kumar@temple.edu

bioinformatics↗

bioRxiv2021

Phylomedicine of mutational processes in somatic cancer cell populations

Mutational processes in somatic cancer cell populations are constantly changing, leaving their signatures in the accumulated genomic variation in tumors. The inference of mutational signatures from the observed genetic variation enables spatiotemporal tracking of tumor mutational processes that evolve due to cellular environmental changes, mutations, and treatment regimes. Ultimately, mutational patterns illuminate the mechanistic understanding of their evolution in cancer progression. We show that the integration of cancer cell phylogeny with mutational signature deconvolution enables higher-resolution detection of gain and loss of mutational processes within the phylogeny. This approach to analyzing somatic genomic variations in 61 lung cancer patients revealed a high turn-over of mutational processes over time and closely related clonal lineages. Some mutational signatures (e.g., smoking-related) showed a higher propensity to be lost, whereas others (e.g., AID/APOBEC) were gained during lung tumors evolution. These observations shed light on the evolution of mutational processes in somatic cell evolution.

evolutionary biology↗

bioRxiv2020

An evolutionary portrait of the progenitor SARS-CoV-2 and its dominant offshoots in COVID-19 pandemic

We report the likely most recent common ancestor of SARS-CoV-2 - the coronavirus that causes COVID-19. This progenitor SARS-CoV-2 genome was recovered through a novel application and advancement of computational methods initially developed to reconstruct the mutational history of tumor cells in a patient. The progenitor differs from the earliest coronaviruses sampled in China by three variants, implying that none of the earliest patients represent the index case or gave rise to all the human infections. However, multiple coronavirus infections in China and the USA harbored the progenitor genetic fingerprint in January 2020 and later, suggesting that the progenitor was spreading worldwide as soon as weeks after the first reported cases of COVID-19. Mutations of the progenitor and its offshoots have produced many dominant coronavirus strains, which have spread episodically over time. Fingerprinting based on common mutations reveals that the same coronavirus lineage has dominated North America for most of the pandemic. There have been multiple replacements of predominant coronavirus strains in Europe and Asia and the continued presence of multiple high-frequency strains in Asia and North America. We provide a continually updating dashboard of global evolution and spatiotemporal trends of SARS-CoV-2 spread (http://sars2evo.datamonkey.org/).

evolutionary biology↗

bioRxiv2020

CREB-binding protein gene, HAC701, negatively regulates WRKY45-dependent immunity in rice

CREB-binding protein (CBP) is a known transcriptional coactivator and an acetyltransferase that functions in several cellular processes by regulating gene expression. However, how it functions in plant immunity remains unexplored. By characterizing hac701, we demonstrate that HAC701 negatively regulates the immune responses in rice. hac701 shows enhanced disease resistance against a bacterial pathogen, Pseudomonas syringae pv. oryzae (Pso), which causes bacterial halo blight of rice. Our transcriptomic analysis revealed that rice WRKY45, one of the main regulators of rice immunity, is upregulated in hac701 and possibly conferring the resistance phenotype against Pso. The morphological phenotypes of hac701 single mutants were highly similar to WRKY45 overexpression transgenic lines reported in previous studies. In addition, we also compared the list of genes in these studies when WRKY45 is overexpressed and chemically induced transiently with the differentially expressed genes (DEGs) in hac701, and found that they largely overlap. When we investigated for cis-elements found 1kb upstream of WRKY45 gene and WRKY45-dependent DEGs, we found that WRKY45 promoter contains the CRE motif, a possible target of HAC701-mediated regulation. Genome-wide H3K9 acetylation profiling showed depletion of acetylation at large set of genes in hac701. However, consistent with the upregulation of WRKY45 gene expression, our ChIP-sequencing analysis demonstrated that regions of WRKY45 promoter are enriched in H3K9 acetylation in hac701 compared to the segregated wild type control in the mock condition. WRKY45 promoter might be on the receiving end for possible genome-wide compensatory effects when a global regulator like HAC701 is mutated. Finally, we show that HAC701 may have roles in systemic immune signaling. We therefore propose that wild type HAC701 negatively regulates WRKY45 gene expression, thereby suppressing immune responses. SIGNIFICANCEHAC701 is a member of CREB-binding protein (CBP) family that acts as transcriptional coactivator and acetyltransferase. However, little is known how it regulates innate immunity in plants. Herein we reported that rice HAC701 suppresses WRKY45-dependent defense pathway. Our study showed that HAC701 seemingly interacts genetically with WRKY45 in rice to modulate immune responses against pathogens.

plant biology↗

bioRxiv2020

Endothelial expression of human APP leads to cerebral amyloid angiopathy in mice

The deposition of amyloid {beta} (A{beta}) in blood vessels of the brain, known as cerebral amyloid angiopathy (CAA), is observed in more than 90% of Alzheimers disease (AD) patients. The presence of such CAA pathology is not as evident, however, in most mouse models of AD, thereby making it difficult to examine the contribution of CAA to the pathogenesis of AD. Since blood levels of soluble amyloid precursor protein (sAPP) in rodents are less than 1% of those in humans, we hypothesized that endothelial APP expression would be markedly lower in rodents, thus providing a reason for the poorly expressed CAA pathology. Here we generated mice that specifically express human APP770 in endothelial cells. These mice exhibited an age-dependent robust deposition of A{beta} in brain blood vessels but not in the parenchyma. Crossing these animals with APP knock-in mice led to an expanded CAA pathology as evidenced by increased amounts of amyloid accumulated in the cortical blood vessels. These results show that both neuronal and endothelial APP contribute cooperatively to vascular A{beta} deposition, and suggest that this mouse model will be useful for studying disease mechanisms underlying CAA and for developing novel AD therapeutics.

neuroscience↗

bioRxiv2019

Power and pitfalls of computational methods for inferring clone phylogenies and mutation orders from bulk sequencing data

BackgroundTumors harbor extensive genetic heterogeneity in the form of distinct clone genotypes that arise over time and across different tissues and regions of a cancer patient. Many computational methods produce clone phylogenies from population bulk sequencing data collected from multiple tumor samples. These clone phylogenies are used to infer mutation order and clone origin times during tumor progression, rendering the selection of the appropriate clonal deconvolution method quite critical. Surprisingly, absolute and relative accuracies of these methods in correctly inferring clone phylogenies have not been consistently assessed.\n\nMethodsWe evaluated the performance of seven computational methods in producing clone phylogenies for simulated datasets in which clones were sampled from multiple sectors of a primary tumor (multi-region) or primary and metastatic tumors in a patient (multi-site). We assessed the accuracy of tested methods metrics in determining the order of mutations and the branching pattern within the reconstructed clone phylogenies.\n\nResultsThe accuracy of the reconstructed mutation order varied extensively among methods (9% - 44% error). Methods also varied significantly in reconstructing the topologies of clone phylogenies, as 24% - 58% of the inferred clone groupings were incorrect. All the tested methods showed limited ability to identify ancestral clone sequences present in tumor samples correctly. The occurrence of multiple seeding events among tumor sites during metastatic tumor evolution hindered deconvolution of clones for all tested methods.\n\nConclusionsOverall, CloneFinder, MACHINA, and LICHeE showed the highest overall accuracy, but none of the methods performed well for all simulated datasets and conditions.

cancer biology↗

bioRxiv2019

A new method for inferring timetrees from temporally sampled molecular sequences

Pathogen timetrees are phylogenies scaled to time. They reveal the temporal history of a pathogen spread through the populations as captured in the evolutionary history of strains. These timetrees are inferred by using molecular sequences of pathogenic strains sampled at different times. That is, temporally sampled sequences enable the inference of sequence divergence times. Here, we present a new approach (RelTime with Dated Tips [RTDT]) to estimating pathogen timetrees based on the relative rate framework underlying the RelTime approach. RTDT does not require many of the priors demanded by Bayesian approaches, and it has light computing requirements. We found RTDT to be accurate on simulated datasets evolved under a variety of branch rates models. Interestingly, we found two non-Bayesian methods (RTDT and Least Squares Dating [LSD]) to perform similar to or better than the Bayesian approaches available in BEAST and MCMCTree programs. RTDT method was found to generally outperform all other methods for phylogenies in with autocorrelated evolutionary rates. In analyses of empirical datasets, RTDT produced dates that were similar to those from Bayesian analyses. Speed and accuracy of the new method, as compared to the alternatives, makes it appealing for analyzing growing datasets of pathogenic strains. Cross-platform MEGA X software, freely available from http://www.megasoftware.net, now contains the new method for use through a friendly graphical user interface and in high-throughput settings.\n\nAUTHOR SUMMARYPathogen timetrees trace the origins and evolutionary histories of strains in populations, hosts, and outbreaks. The tips of these molecular phylogenies often contain sampling time information because the sequences were generally obtained at different times during the disease outbreaks and propagation. We have developed a new method for inferring timetrees for phylogenies with tip dates, which improves on widely-used Bayesian methods (e.g., BEAST) in computational efficiency and does not require prior specification of population parameters, branch rate model, or clock model. We performed extensive computer simulation and found that RTDT performed better than the other methods for the estimation of divergence times at deep node in phylogenies where evolutionary rates were autocorrelated. The new method is available in the cross-platform MEGA software package that provides a graphical user interface, and allows use via a command line in scripting and high throughput analysis (www.megasoftware.net).

evolutionary biology↗

bioRxiv2019

Knowledge of Chagas disease in Latin American migrant population living in Japan and factors associated with knowledge level

BackgroundChagas disease (CD), typically confined to the Latin America (LA) region, is emerging as a global health problem. In Japan, as in the rest of world, the under-diagnose rate of CD is alarmingly high. Various studies have highlighted the importance of informed knowledge in the seeking behavior. Educational integrative activities, with consideration for socio-cultural factors, can help increase the knowledge of the participants. There has been no studies that analyze the difference in knowledge, before and after these educational activities. This study aimed to qualitatively and quantitatively investigate the knowledge, behavior and attitude toward CD among LA migrants in Japan and to evaluate the effectiveness of the community educational activity in increasing knowledge of CD.\n\nMethodologyThis cross-sectional study involved two questionnaires to analyze the knowledge of the LA migrant participants before and after the community activity (CA) in four cities in Japan (Oizumi, Suzuka, Hadano, and Nagoya).\n\nPrincipal FindingsA total of 75 participants were enrolled, predominantly Bolivians from hyperendemic areas. The baseline knowledge of CD was low. However, most of them were familiar with the disease although less than 10% of them had been tested for CD before. Living in Japan for more than 10 years and previously being tested for CD were the factors associated with better knowledge. The conducted CA significantly improved the knowledge of the participants. They associated the term \"Chagas\" mostly with fear and concern. In contrast to other studies, the level of stigmatization was low. The barriers in care seeking behavior were language, migration process and difficulties to access to the healthcare system.\n\nConclusionEducational activities with integrative approach are useful to increase knowledge of CD. The activity brings the possibility to explore not only the level of knowledge, but also to reveal the experience and to understand the needs of the people at risk.\n\nAuthor SummaryThough the incident rate of Chagas disease (CD) has fallen, more than 7 million people are affected worldwide. The CD prevalence is under-estimated because just 1% of these affected people can access to the diagnosis and treatment. This situation is maintaining mainly for the lack of implication of socio-cultural factors in the interventions to decrease the burden of the disease. Educational activities with integral approach are useful to increase the knowledge of the people at risk. People that have being tested for CD before or living in Japan for more than 10 years have better knowledge about the disease, suggesting the importance of knowledge in the seeking behavior. The authors recommend the implementation of educational activities with integral approach as a strategy to improves the knowledge of Chagas disease among Latin America migrants in Japan.

scientific communication and education↗

bioRxiv2018

Predicting clone genotypes from tumor bulk sequencing of multiple samples

MotivationAnalyses of data generated from bulk sequencing of tumors have revealed extensive genomic heterogeneity within patients. Many computational methods have been developed to enable the inference of genotypes of tumor cell populations (clones) from bulk sequencing data. However, the relative and absolute accuracy of available computational methods in estimating clone counts and clone genotypes is not yet known.\n\nResultsWe have assessed the performance of nine methods, including eight previously-published and one new method (CloneFinder), by analyzing computer simulated datasets. CloneFinder, LICHeE, CITUP, and cloneHD inferred clone genotypes with low error (<5% per clone) for a majority of datasets in which the tumor samples contained evolutionarily-related clones. Computational methods did not perform well for datasets in which tumor samples contained mixtures of clones from different clonal lineages. Generally, the number of clones was underestimated by cloneHD and overestimated by Phy-loWGS, and BayClone2, Canopy, and Clomial required prior information regarding the number of clones. AncesTree and Canopy did not produce results for a large number of datasets.\n\nConclusionsDeconvolution of clone genotypes from single nucleotide variant (SNV) frequency differences among tumor samples remains challenging, so there is a need to develop more accurate computational methods and robust software for clone genotype inference.\n\nAvailability and ImplementationCloneFinder is implemented in Python and is available from https://github.com/gstecher/CloneFinderAPI.\n\nContacts.kumar@temple.edu\n\nSupplementary informationSupplementary data are available at Bioinformatics online

cancer biology↗

bioRxiv2018

Computational enhancement of single-cell sequences for inferring tumor evolution

Motivation: Tumor sequencing has entered an exciting phase with the advent of single-cell techniques that are revolutionizing the assessment of single nucleotide variation (SNV) at the highest cellular resolution. However, state-of-the-art single-cell sequencing technologies produce data with many missing bases (MBs) and incorrect base designations that lead to false-positive (FP) and false-negative (FN) detection of somatic mutations. While computational methods are available to make biological inferences in the presence of these errors, the accuracy of the imputed MBs and corrected FPs and FNs remains unknown.\n\nResults: Using computer simulated datasets, we assessed the robustness performance of four existing methods (OncoNEM, SCG, SCITE, and SiFit) and one new method (BEAM). BEAM is a Bayesian evolution-aware method that improves the quality of single-cell sequences by using the intrinsic evolutionary information in the single-cell data in a molecular phylogenetic framework. Overall, BEAM and SCITE performed the best. Most of the methods imputed MBs with high accuracy, but effective detection and correction of FPs and FNs require sampling a large number of SNVs. Analysis of an empirical dataset shows that computational methods can improve both the quality of tumor single-cell sequences and their utility for biological inference.\n\nConclusions: Tumor cells descend from pre-existing cells, which creates evolutionary continuity in single-cell sequencing datasets. This information enables BEAM and other methods to correctly impute missing data and incorrect base assignments, but correction of FPs and FNs remains challenging when the number of SNVs sampled is small relative to the number of cells sequenced.\n\nAvailability: BEAM is available on the web at https://github.com/SayakaMiura/BEAM.\n\nContact: s.kumar@temple.edu

cancer biology↗