Biology subjects

Sun, S.

Publications and source records attributed to Sun, S..

At least 361 records · Page 20Linked to original sources

bioRxiv2019

Inference based PICRUSt accuracy varies across sample types and functional categories

BackgroundDespite recent decreases in the cost of sequencing, shotgun metagenome sequencing remains more expensive compared with 16S rRNA amplicon sequencing. Methods have been developed to predict the functional profiles of microbial communities based on their taxonomic composition, and PICRUSt is the most widely used of these techniques. In this study, we evaluated the performance of PICRUSt by comparing the significance of the differential abundance of functional gene profiles predicted with PICRUSt to those from shotgun metagenome sequencing across different environments.\n\nResultsWe selected 7 datasets of human, non-human animal and environmental (soil) samples that have publicly available 16S rRNA and shotgun metagenome sequences. As we would expect based on previous literature, strong Spearman correlations were observed between gene compositions predicted with PICRUSt and measured with shotgun metagenome sequencing. However, these strong correlations were preserved even when the sample labels were shuffled. This suggests that simple correlation coefficient is a highly unreliable measure for the performance of algorithms like PICRUSt. As an alternative, we compared the performance of PICRUSt predicted genes to metagenome genes in inference models associated with metadata within each dataset. With this method, we found reasonable performance for human datasets, with PICRUSt performing better for inference on genes related to \"house-keeping\" functions. However, the performance of PICRUSt degraded sharply outside of human datasets when used for inference.\n\nConclusionWe conclude that the utility of PICRUSt for inference with the default database is likely limited outside of human samples and that development of tools for gene prediction specific to different non-human and environmental samples is warranted.

bioinformatics↗

bioRxiv2019

Accuracy, Robustness and Scalability of Dimensionality Reduction Methods for Single Cell RNAseq Analysis

BackgroundDimensionality reduction (DR) is an indispensable analytic component for many areas of single cell RNA sequencing (scRNAseq) data analysis. Proper DR can allow for effective noise removal and facilitate many downstream analyses that include cell clustering and lineage reconstruction. Unfortunately, despite the critical importance of DR in scRNAseq analysis and the vast number of DR methods developed for scRNAseq studies, however, few comprehensive comparison studies have been performed to evaluate the effectiveness of different DR methods in scRNAseq.\n\nResultsHere, we aim to fill this critical knowledge gap by providing a comparative evaluation of a variety of commonly used DR methods for scRNAseq studies. Specifically, we compared 18 different DR methods on 30 publicly available scRNAseq data sets that cover a range of sequencing techniques and sample sizes. We evaluated the performance of different DR methods for neighborhood preserving in terms of their ability to recover features of the original expression matrix, and for cell clustering and lineage reconstruction in terms of their accuracy and robustness. We also evaluated the computational scalability of different DR methods by recording their computational cost.\n\nConclusionsBased on the comprehensive evaluation results, we provide important guidelines for choosing DR methods for scRNAseq data analysis. We also provide all analysis scripts used in the present study at www.xzlab.org/reproduce.html. Together, we hope that our results will serve as an important practical reference for practitioners to choose DR methods in the field of scRNAseq analysis.

genomics↗

bioRxiv2019

A Clostridia-rich microbiota contributes to increased excretion of bile acids in diarrhea-predominant irritable bowel syndrome

ObjectiveAn excess of fecal bile acids (BAs) is thought to be one of the mechanisms for diarrhea-predominant irritable bowel syndrome (IBS-D). However, the factors causing excessive BA excretion remains unclear. Given the importance of gut microbiota in BA metabolism, we hypothesized that gut dysbiosis might contribute to excessive BA excretion in IBS-D.\n\nDesignMetabolomic and metagenomic analyses were performed of specimens from 290 IBS-D patients and 89 healthy volunteers. By transplanting human microbiota and manipulating specific microbiome species in mice, the effects of microbiota on host BA metabolism were assessed at metabolic, genetic and protein levels. Effects of individual and mixed BAs on enterohepatic feedback pathways were also tested in vitro and in vivo.\n\nResultsTotal fecal BAs were excessively excreted in 24.5% of IBS-D patients. Their fecal metagenomes showed increased abundances of Clostridia and BA-transforming genes (hdhA and bais). The increases of Clostridia bacteria (e.g. C. scindens) were positively associated with the levels of fecal BAs and serum 7-hydroxy-4-cholesten-3-one (C4), while being negatively correlated with serum fibroblast growth factor 19 (FGF19). Both Clostridia-rich human microbiota and C. scindens enhanced levels of serum C4 and hepatic conjugated BAs in mice recipients and reduced ileal FGF19 expression. Inhibition of Clostridium species by vancomycin yielded opposite findings. Clostridia-derived BAs (e.g. conjugated and free ursodeoxycholic acid) significantly suppressed intestinal FGF19 expression.\n\nConclusionThe Clostridia-rich microbiota contributes to excessive BA excretion in IBS-D patients. This study provided the basis for more precise clinical diagnosis and management for IBS-D.

microbiology↗

bioRxiv2019

Convergent evolution of linked mating-type loci in basidiomycetes: an ancient fusion event that has stood the test of time

Sexual development is a key evolutionary innovation of eukaryotes. In many species, mating involves interaction between compatible mating partners that can undergo cell and nuclear fusion and subsequent steps of development including meiosis. Mating compatibility in fungi is governed by mating type determinants, which are localized at mating type (MAT) loci. In basidiomycetes, the ancestral state is hypothesized to be tetrapolar (bifactorial), with two genetically unlinked MAT loci containing homeodomain transcription factor genes (HD locus) and pheromone and pheromone receptor genes (P/R locus), respectively. Alleles at both loci must differ between mating partners for completion of sexual development. However, there are also basidiomycete species with bipolar (unifactorial) mating systems, which can arise through genomic linkage of the HD and P/R loci. In the order Tremellales, which is comprised of mostly yeast-like species, bipolarity is found only in the human pathogenic Cryptococcus species. Here, we describe the analysis of MAT loci from the Trichosporonales, a sister order to the Tremellales. We analyzed genome sequences from 29 strains that belong to 24 species, including two new genome sequences generated in this study. Interestingly, in all of the species analyzed, the MAT loci are fused and a single HD gene is present in each mating type. This is similar to the organization in the pathogenic Cryptococci, which also have linked MAT loci and carry only one HD gene per MAT locus instead of the usual two HD genes found in the vast majority of basidiomycetes. However, the HD and P/R allele combinations in the Trichosporonales are different from those in the pathogenic Cryptococcus species. The differences in allele combinations compared to the bipolar Cryptococci as well as the existence of tetrapolar Tremellales sister species suggest that fusion of the HD and P/R loci and differential loss of one of the two HD genes per MAT allele occurred independently in the Trichosporonales and pathogenic Cryptococci. This finding supports the hypothesis of convergent evolution at the molecular level towards fused mating-type regions in fungi, similar to previous findings in other fungal groups. Unlike the fused MAT loci in several other basidiomycete lineages though, the gene content and gene order within the fused MAT loci are highly conserved in the Trichosporonales, and there is no apparent suppression of recombination extending from the MAT loci to adjacent chromosomal regions, suggesting different mechanisms for the evolution of physically linked MAT loci in these groups.\n\nAuthor summarySexual development in fungi is governed by genes located within a single mating type (MAT) locus or at two unlinked MAT loci. While the latter is thought to be the ancestral state in basidiomycetes, physical linkage of the two MAT loci has occurred multiple times during basidiomycete evolution. Here, we show that physically linked MAT loci are present in all analyzed species of the basidiomycete order Trichosporonales. In contrast to previously studied basidiomycetes, the fused MAT loci in the Trichosporonales have highly conserved gene order, suggesting that this fusion might date back to the common ancestor of this lineage.

evolutionary biology↗

bioRxiv2019

High-powered detection of genetic effects on DNA methylation using integrated methylation QTL mapping and allele-specific analysis

Identifying genetic variants that are associated with methylation variation - an analysis commonly referred to as methylation quantitative trait locus (mQTL) mapping -- is important for understanding the epigenetic mechanisms underlying genotype-trait associations. Here, we develop a statistical method, IMAGE, for mQTL mapping in sequencing-based methylation studies. IMAGE properly accounts for the count nature of bisulfite sequencing data and incorporates allele-specific methylation patterns from heterozygous individuals to enable more powerful mQTL discovery. We compare IMAGE with existing approaches through extensive simulation. We also apply IMAGE to analyze two bisulfite sequencing studies, in which IMAGE identifies more mQTL than existing approaches.

genomics↗

bioRxiv2019

Neural circuits mediating visual stabilization during active motion in zebrafish

Visual stabilization is an inevitable requirement for animals during active motion interaction with the environment. Visual motion cues of the surroundings or induced by self-generated behaviors are perceived then trigger proper motor responses mediated by neural representations conceptualized as the internal model: one part of it predicts the consequences of sensory dynamics as a forward model, another part generates proper motor control as a reverse model. However, the neural circuits between the two models remain mostly unknown. Here, we demonstrate that an internal component, the efference copy, coordinated the two models in a push-pull manner by generating extra reset saccades during active motion processing in larval zebrafish. Calcium imaging indicated that the saccade preparation circuit is enhanced while the velocity integration circuit is inhibited during the interaction, balancing the internal representations from both directions. This is the first model of efference copy on visual stabilization beyond the sensorimotor stage.

neuroscience↗

bioRxiv2019

Genetic and genomic analyses reveal boundaries between species closely related to Cryptococcus pathogens

Speciation is a central mechanism of biological diversification. While speciation is well studied in plants and animals, in comparison, relatively little is known about speciation in fungi. One fungal model is the Cryptococcus genus, which is best known for the pathogenic Cryptococcus neoformans/Cryptococcus gattii species complex that causes over 200,000 new infections in humans annually. The closest non-human pathogenic relatives are the sibling species, Cryptococcus amylolentus and Tsuchiyaea wingfieldii. However, because relatively few isolates of each species are available, it is unclear whether they represent divergent lineages of the same species or different biological species. The recent isolation of an additional strain, preliminarily identified as T. wingfieldii, prompted us to reexamine this group as it may inform about the evolutionary processes underlying the diversification of both non-pathogenic and pathogenic Cryptococcus lineages. Using genomic data, we reappraised the phylogenetic relationship of the four available strains and confirmed the genetic separation of C. amylolentus and T. wingfieldii (now Cryptococcus wingfieldii), and revealed an additional cryptic species, for which the name Cryptococcus floricola is proposed. Comparison of full-length chromosome assemblies revealed approximately 6% pairwise sequence divergence between the three species, and identified significant genomic changes, including inversions as well as a reciprocal translocation that involved inter-centromeric ectopic recombination, which together likely impose significant barriers to genetic exchange. Using genetic crosses, we show that while C. wingfieldii cannot interbreed with any of the other strains, C. floricola can undergo sexual reproduction with C. amylolentus. However, most of the spores resulting from this cross were inviable, and many were sterile, indicating that the two species are genetically isolated through intrinsic post-zygotic barriers and possibly due to niche differentiation. Genome sequencing and analysis of the progeny demonstrated decreased recombination frequency during meiosis in heterospecific crosses compared to C. amylolentus conspecific crosses. This study advances our understanding of speciation in fungi and highlights the power of genomics in assisting our ability to correctly identify and discriminate fungal species. Author SummaryThe idea of species as discrete natural units seems rather intuitive for most people, just as cells are the basic units of life. However, when observing variation across a species range, boundaries can become blurred making it less than obvious when different populations evolve into separate species. Additionally, separate species can still interbreed, such as lions breeding with tigers to produce a liger or a tigon (depending on the paternal and maternal species of origin), but the resulting offspring is usually inviable or sterile, which in turn is evidence that the parents involved are distinct species. Therefore, what species are and how they originate is still an open question in evolutionary biology. While recent advances have been made in the fields of animal and plant speciation, many other important components of biological diversity, such as fungi, are still understudied. Genome sequencing is now providing new tools to address the genetic mechanisms that drive divergence and reproductive isolation between populations, including genetic incompatibilities, sequence divergence, and chromosomal rearrangements. Here we focus on the Cryptococcus amylolentus species complex, a non-pathogenic fungal lineage closely related to the human pathogenic Cryptococcus neoformans/Cryptococcus gattii complex. Using genetic and genomic analysis we reexamined the species boundaries of four available isolates within the C. amylolentus complex and revealed three genetically isolated species. The genomes of these species are ~6% divergent and exhibit chromosome rearrangements, including translocations and small-scale inversions. Although two of the species (C. amylolentus and newly described C. floricola) are still able to interbreed, the resulting hybrid progeny were mostly inviable, and many were sterile, indicating that barriers to reproduction have already been established. Our results will foster additional studies addressing the transitions between non-pathogenic and pathogenic Cryptococcus lineages.

evolutionary biology↗

bioRxiv2019

Single-cell analysis reveals different age-related somatic mutation profiles between stem and differentiated cells in human liver

Accumulating somatic mutations have been implicated in age-related cellular degeneration and death. Because of their random nature and low abundance, somatic mutations are difficult to detect except in single cells or clonal lineages. Here we show that in single hepatocytes from human liver, an organ normally exposed to high levels of genotoxic stress, somatic mutation frequencies are high and increase substantially with age. Significantly lower mutation frequencies were observed in liver stem cells and organoids derived from them. These results could explain the increased age-related incidence of liver disease in humans and stress the importance of stem cells in maintaining genome integrity.

genomics↗

bioRxiv2019

Cell Type Classification and Unsupervised MorphologicalPhenotype Identification from Low-Res Images with DeepLearning

Convolutional neural networks (ConvNets) have been used for both classification and semantic segmentation of cellular images. Here we establish a method for cell type classification utilizing images taken on a benchtop microscope directly from cell culture flasks eliminating the need for a dedicated imaging platform. Significant flask-to-flask heterogeneity was discovered and overcome to support network generalization to novel data. Cell density was found to be a prominent source of heterogeneity even within the single-cell regime indicating the presence of morphological effects due to diffusion-mediated cell-cell interaction. Expert classification was poor for single-cell images and excellent for multi-cell images suggesting experts rely on the identification of characteristic phenotypes within subsets of each population and not ubiquitous identifiers. Finally we introduce Self-Label Clustering, an unsupervised clustering method relying on ConvNet feature extraction able to identify distinct morphological phenotypes within a cell type, some of which are observed to be cell density dependent. Author summaryK.Y., N.D.R., and S.X.S. designed experiments and computational analysis. K.Y. performed experiments and ConvNets design/training, K.Y., N.D.R and S.X.S wrote the paper.

bioengineering↗

bioRxiv2019

Centromere-mediated chromosome break drives karyotype evolution in closely related Malassezia species

Intra-chromosomal or inter-chromosomal genomic rearrangements often lead to speciation (1). Loss or gain of a centromere leads to alterations in chromosome number in closely related species. Thus, centromeres can enable tracing the path of evolution from the ancestral to a derived state (2). The Malassezia species complex of the phylum Basiodiomycota shows remarkable diversity in chromosome number ranging between six and nine chromosomes (3-5). To understand these transitions, we experimentally identified all eight centromeres as binding sites of an evolutionarily conserved outer kinetochore protein Mis12/Mtw1 in M. sympodialis. The 3 to 5 kb centromere regions share an AT-rich, poorly transcribed core region enriched with a 12 bp consensus motif. We also mapped nine such AT-rich centromeres in M. globosa and the related species Malassezia restricta and Malassezia slooffiae. While eight predicted centromeres were found within conserved synteny blocks between these species and M. sympodialis, the remaining centromere in M. globosa (MgCEN2) or its orthologous centromere in M. slooffiae (MslCEN4) and M. restricta (MreCEN8) mapped to a synteny breakpoint compared with M. sympodialis. Taken together, we provide evidence that breakage and loss of a centromere (CEN2) in an ancestral Malassezia species possessing nine chromosomes resulted in fewer chromosomes in M. sympodialis. Strikingly, the predicted centromeres of all closely related Malassezia species map to an AT-rich core on each chromosome that also shows enrichment of the 12 bp sequence motif. We propose that centromeres are fragile AT-rich sites driving karyotype diversity through breakage and inactivation in these and other species. Significance statementThe number of chromosomes can vary between closely related species. Centromere loss destabilizes chromosomes and results in reduced number of chromosomes to drive speciation. A series of evidence from studies on various cancers suggest that an imbalance in kinetochore-microtubule attachments results in breaks at the centromeres. To understand if such events can cause chromosome number changes in nature, we studied six species of Malassezia, of which three possess eight chromosomes and others have nine chromosomes each. We find signatures of chromosome breakage at the centromeres in organisms having nine chromosomes. We propose that the break at the centromere followed by fusions of acentric chromosomes to other chromosomes could be a plausible mechanism shaping the karyotype of Malassezia and related organisms. ClassificationBiological sciences, Genetics

genomics↗

bioRxiv2019

YAP/TAZ as a Novel Regulator of cell volume

How mammalian cells regulate their physical size is currently poorly understood, in part due to the difficulty of accurately quantifying cell volume in a high throughput manner. Here, using the fluorescence exclusion method, we demonstrate that the mechanosensitive transcriptional regulators YAP (Yes-associated protein) and TAZ (transcriptional coactivator with PDZ-binding motif) are novel regulators of single cell volume. We report that the role of YAP/TAZ in cell volume regulation must go beyond its influence on total cell cycle duration or the cell shape to explain the observed changes in volume. Moreover, for our experimental conditions, volume regulation by YAP/TAZ is independent of mTOR. Instead, we find YAP/TAZ directly impacts the cell division volume. Based on the idea that YAP/TAZ is a mechanosensor, we find that inhibiting the assembly of myosin and cell tension slows cell cycle progression from G1 to S. These results suggest that YAP/TAZ and the Hippo pathway may be modulating cell volume in combination with cytoskeletal tension during cell cycle progression.

bioengineering↗

bioRxiv2018

Transcriptome analysis of fasting caecotrophy on hepatic lipid metabolism in New Zealand rabbits

BackgroundRabbit produce two kinds of feces: hard and soft feces, and they have a preference for consuming the latter. Although this habit of rabbits has been reported for many years, little is known on whether this behavior will impact growth performance and metabolism. The RNA-Seq technology is an effective means of analyzing transcript groups to clarify molecular mechanisms. The aim of the present study was to investigate the effects of fasting caecotrophy on growth performance and lipid metabolism in rabbits.\n\nResultsOur results indicated that, compared with the control group, the final body weight, weight gain, liver weight, specific growth rate and feed conversion ratio were all decreased in the experimental group (P<0.05). Oil red staining of the liver tissue indicated that fasting caecotrophy resulted in decrease of lipid droplet accumulation. RNA sequencing (RNA-seq) analysis revealed a total of 301.2 million raw reads approximately 45.06 Gb of high-quality clean data. The data were mapped to the rabbit genome (http://www.ensembl.org/Oryctolagus_cuniculus). After a five step filtering process, 14964 genes were identified, including 444 differentially expressed genes (P<0.05, foldchange[≥]1). Especially for remarkable changes of genes related to lipid metabolism, RT-PCR further validated the remarkable decrease of these genes in fasting caecotrophy group, including CYP7A1, PPARG, ABCA1, ABCB1, ABCG1, GPAM, SREBP, etc. KEGG annotation of the differentially expressed genes indicated that the main pathways affected were retinol metabolism, pentose and glucuronide interactions, starch and sucrose metabolism, fatty acid degradation, steroid hormone biosynthesis.\n\nConclusionIn conclusion, the present study revealed that banning caecotrophy reduced growth rate and altered lipid metabolism, our results laid instructive basis for rabbit feeding and production. These data also provides a reference for studying the effects of soft feces on other small herbivores.

animal behavior and cognition↗

bioRxiv2018

A proactive genotype-to-patient-phenotype map for cystathionine beta-synthase

Success in precision medicine depends on our ability to determine which rare human genetic variants have functional effects. Classical homocystinuria--characterized by elevated homocyst(e)ine in plasma and urine--is caused by primarily-rare variants in the cystathionine beta-synthase (CBS) gene. About half of patients respond to vitamin B6 therapy. With early detection in newborns, existing therapies are highly effective. Functional CBS variants, especially those that respond to vitamin B6, can be detected based on their ability to restore growth in yeast cells lacking CYS4 (the yeast ortholog of CBS). This assay has previously been carried out only reactively after first observation of a variant in patients. Here we describe a proactive comprehensive missense variant effect map for human CBS. Together, saturation codon-replacement mutagenesis, en masse growth selection at different vitamin B6 levels, and sequencing yielded a look-up table for CBS missense variant function and vitamin B6-remediability in yeast. The CBS variant effect map identified disease variants and predicted both disease severity (r = 0.82) and human clinical response to vitamin B6 (r = 0.89). Thus, highly-multiplexed cell-based assays can yield proactive maps of variant function and patient response to therapy, even for rare variants not previously seen in the clinic.

genetics↗

bioRxiv2018

Gating TrkB switch by methylglyoxal enables GLO1 as a target for depression

The endogenous metabolite methylglyoxal (MGO) has recently emerged as a potential mediator of psychiatric disorders, such as anxiety and depression, but its precise mechanism of action remains poorly understood. Here, we find that MGO concentrations are decreased in the prefrontal cortex and hippocampus in rats subjected to chronic stress, and low-dose MGO treatment remarkedly enhances resilience to stress and alleviates depression-like symptoms. This effect is achieved by MGOs promotion on the synaptic plasticity in prefrontal cortex and hippocampus. Both in vitro and in vivo experiments show that MGO provokes the dimerization and autophosphorylation of TrkB and the subsequent activation of downstream Akt/CREB signaling, which leads to a rapid and sustained expression of brain-derived neurotrophic factor (BDNF). We further demonstrate that MGO directly binds to the extracellular domain of TrkB, but not its intracellular domain. In addition, we also identify a natural product luteolin and its derivative lutD as potent inhibitors of Glyoxalase 1 and validate their antidepressant effects in chronic stress rat models. The antidepressant role of endogenous MGO provides a new basis for the understanding and therapeutic intervention design for stress-associated mental disorders.

neuroscience↗

bioRxiv2018

Establishment of baseline sensitivity of Rhizoctonia solani to thifluzamide in corn and its field application

In recent years, banded leaf sheath blight in corn has become an important disease in corn that seriously affects quality and yield. This paper aims to evaluate the sensitivity of Rhizoctonia solani to thifluzamide in corn, to clarify the effect of seed coating using a thifluzamide suspension agent on safety and physiological indicators and to determine banded leaf sheath blight in corn control effectiveness in the field, thereby providing a basis for the application of thifluzamide suspension agent as a seed coating. In this study, the thifluzamide sensitivity of 102 strains of R. solani in corn in different regions of Shandong was determined using the mycelial growth rate method, and the average half-maximal effective concentration value (EC50) was 0.086{+/-}0.004 g/mL. The sensitivity was consistent with a continuous and skewed normal distribution, and the sensitivity distribution frequency exhibited a continuous, unimodal curve, indicating that thifluzamide had strong inhibitory activity on the mycelial growth of R. solani in corn. The impacts of using a thifluzamide suspension agent for seed coating on safety and physiological indicators as well as the control effect in corn were evaluated by combining seed coating, an indoor pot test, and a field trial. The root activities under 24 g a.i. 100 kg-1 seed and 12 g a.i. 100 kg-1 seed were found to increase by 78.01% and 77.40%, respectively, compared with that under the blank control; the chlorophyll content of corn increased most significantly at a dosage of 24 g a.i. 100 kg-1, which was a 32.32% increase compared to the blank control. Thifluzamide (FS) could significantly increase the hundred-grain weight of corn and the per-plot yield. Among the examined dosages, 24 g a.i. 100 kg-1 seed had the most significant treatment effect, with the hundred-grain weight increasing by 12.47% and the yield rate increasing by 15.72% compared to the control in 2016, Simultaneously, the hundred-grain weight increasing by 13.44% and the yield rate increasing by 14.11% compared to the control in 2017. Three dosages of 24% thifluzamide (FS) increased the emergence rate and seedling growth of corn to varying extents. The field control effectiveness against banded leaf sheath blight in corn was best at the dosage of 24 g a.i. 100 kg-1 seed for seed dressing with thifluzamide (FS); in 2016 and 2017, the control effects in the small bell stage, large bell stage, tasseling and pollen-shedding stage, silking stage, milk-ripening stage, and wax-ripening stage were 100%, 66.73%, 52.8%, 67.81%, 68.48%, and 62.68% (2016), respectively, and 74.97%, 63.17%, 50.90%, 53.60%, 61.42%, and 55.88% (2017). These results indicated that thifluzamide had enormous potential for controlling banded leaf sheath blight in corn.

pathology↗

bioRxiv2018

SNP Variable Selection by Generalized Graph Domination

High-throughput sequencing technology has revolutionized both medical and biological research by generating exceedingly large numbers of genetic variants. The resulting datasets share a number of common characteristics that might lead to poor generalization capacity. Concerns include noise accumulated due to the large number of predictors, sparse information regarding the p >> n problem, and overfitting and model mis-identification resulting from spurious collinearity. Additionally, complex correlation patterns are present among variables. As a consequence, reliable variable selection techniques play a pivotal role in predictive analysis, generalization capability, and robustness in clustering, as well as interpretability of the derived models.\n\nK-dominating set, a parameterized graph-theoretic generalization model, was used to model SNP (single nucleotide polymorphism) data as a similarity network and searched for representative SNP variables. In particular, each SNP was represented as a vertex in the graph, (dis)similarity measures such as correlation coefficients or pairwise linkage disequilibrium were estimated to describe the relationship between each pair of SNPs; a pair of vertices are adjacent, i.e. joined by an edge, if the pairwise similarity measure exceeds a user-specified threshold. A minimum K-dominating set in the SNP graph was then made as the smallest subset such that every SNP that is excluded from the subset has at least k neighbors in the selected ones. The strength of\n\nk-dominating set selection in identifying independent variables, and in culling representative variables that are highly correlated with others, was demonstrated by a simulated dataset. The advantages of k-dominating set variable selection were also illustrated in two applications: pedigree reconstruction using SNP profiles of 1,372 Douglas-fir trees, and species delineation for 226 grasshopper mouse samples. A C++ source code that implements SNP-SELECT and uses Gurobi optimization solver for the k-dominating set variable selection is available (https://github.com/transgenomicsosu/SNP-SELECT).

genetics↗

bioRxiv2018

CNTN5-/+ or EHMT2-/+ iPSC-Derived Neurons from Individuals with Autism Develop Hyperactive Neuronal Networks

Induced pluripotent stem cell (iPSC)-derived cortical neurons are increasingly used as a model to study developmental aspects of Autism Spectrum Disorder (ASD), which is clinically and genetically heterogeneous. To study the complex relationship of rare (penetrant) variant(s) and common (weaker) polygenic risk variant(s) to ASD, \"isogenic\" iPSC-derived neurons from probands and family-based controls, for modeling, is critical. We developed a standardized set of procedures, designed to control for heterogeneity in reprogramming and differentiation, and generated 53 different iPSC-derived glutamatergic neuronal lines from 25 participants from 12 unrelated families with ASD (14 ASD-affected individuals, 3 unaffected siblings, 8 unaffected parents). Heterozygous de novo (7 families; 16p11.2, NRXN1, DLGAP2, CAPRIN1, VIP, ANOS1, THRA) and rare-inherited (2 families; CNTN5, AGBL4) presumed-damaging variants were characterized in ASD risk genes/loci. In three additional families, functional candidates for ASD (SET), and combinations of putative etiologic variants (GLI3/KIF21A and EHMT2/UBE2I combinations in separate families), were modeled. We used a large-scale multi-electrode array (MEA) as our primary high-throughput phenotyping assay, followed by patch clamp recordings. Our most compelling new results revealed a consistent spontaneous network hyperactivity in neurons deficient for CNTN5 or EHMT2. Our biobank of iPSC-derived neurons and accompanying genomic data are available to accelerate ASD research.

neuroscience↗

bioRxiv2018

Sirt7 regulates circadian phase coherence of hepatic circadian clock via a body temperature/Hsp70-Sirt7-Cry1 axis

The biological clock is generated in the hypothalamic suprachiasmatic nucleus (SCN), which synchronizes peripheral oscillators to coordinate physiological and behavioral activities throughout the body. Disturbance of circadian phase coherence between the central and peripheral could disrupt rhythms and thus cause diseases and aging. Here, we identified hepatic Sirt7 as an early element responsive to light, which ensures the phase coherence in mouse liver. Loss of Sirt7 leads to advanced liver circadian phase; restricted feeding in daytime entrains hepatic clock more rapidly in Sirt7-/- mice compared to wild-types. Molecularly, a light-driven body temperature (BT) oscillation induces rhythmic expression of Hsp70, which binds to and promotes the ubiquitination and proteasomal degradation of Sirt7. Sirt7 rhythmically deacetylates Cry1 on K565/579 and promotes Fbxl3-mediated degradation, thus coupling hepatic clock to the central pacemaker. Together, our data identify a novel BT/Hsp70-Sirt7-Cry1 axis, which transmits biological timing cues from the central to the peripheral and ensures circadian phase coherence in livers.

molecular biology↗