Biology subjects

Li, B.

Publications and source records attributed to Li, B..

At least 559 records · Page 31Linked to original sources

bioRxiv2019

DRAMS: A Tool to Detect and Re-Align Mixed-up Samples for Integrative Studies of Multi-omics Data

Studies of complex disorders benefit from integrative analyses of multiple omics data. Yet, sample mix-ups frequently occur in multi-omics studies, weakening statistical power and risking false findings. Accurately aligning sample information, genotype, and corresponding omics data is critical for integrative analyses. We developed DRAMS (https://github.com/Yi-Jiang/DRAMS) to Detect and Re-Align Mixed-up Samples to address the sample mix-up problem. It uses a logistic regression model followed by a modified topological sorting algorithm to identify the potential true IDs based on data relationships of multi-omics. According to tests using simulated data, the more types of omics data used or the smaller the proportion of mix-ups, the better that DRAMS performs. Applying DRAMS to real data from the PsychENCODE BrainGVEX project, we detected and corrected 201 (12.5% of total data generated) mix-ups. Of the 21 mix-ups involving errors of racial identity, DRAMS re-assigned all samples to the correct racial cluster in the 1000 Genomes project. In doing so, quantitative trait loci (QTL) (FDR<0.01) increased by an average of 1.62-fold. The use of DRAMS in multi-omics studies will strengthen statistical power of the study and improve quality of the results. Even though very limited studies have multi-omics data in place, we expect such data will increase quickly with the needs of DRAMS.\n\nAuthor summarySample mix-up happens inevitably during sample collection, processing, and data management. It leads to reduced statistical power and sometimes false findings. It is of great importance to correct mixed-up samples before conducting any downstream analyses. We developed DRAMS to detect and re-align mixed-up samples in multi-omics studies. The basic idea of DRAMS is to align the data and labels for each sample leveraging the genetic information of multi-omics data. DRAMS corrects sample IDs following a two-step strategy. At first, it estimates pairwise genetic relatedness among all the data generated from all the individuals. Because the different data generated from the same individual should share the same genetics, we can cluster all the highly related data and consider that the data from one cluster have only one potential ID. Then, we used a \"majority vote\" strategy to infer the potential ID for individuals in each cluster. Other information, such as match of genetics-based and reported sexes, omics priorority, etc., were also used to direct identifying the potential IDs. It has been proved that DRAMS performs very well in both simulation and PsychENCODE BrainGVEX multi-omics data.

bioinformatics↗

bioRxiv2019

Assessment of anesthesia on physiological stability and bold signal reliability during visual or acoustic stimulation in the cat

BackgroundNeuroimaging methods including fMRI provide powerful tools to observe whole-brain functional networks. This is particularly powerful in animal models, allowing these networks to be probed using complementary methods. However, most animals must be anesthetized for neuroimaging, giving rise to complications resulting from anesthetic effects on the animals physiological and neurological functions. For example, an established protocol for feline neuroimaging involves co-administration of ketamine and isoflurane - the latter of which is known to suppress cortical function. New MethodHere, we compare this established protocol to alfaxalone, a single-agent anesthetic for functional neuroimaging. We first compare the two in a controlled environment to assess relative safety and to measure physiological stability over an extended time window. We then compare patterns of auditory and visually-evoked activity measured at 7T to assess mean signal strength and between-subjects signal variability. Results in Comparison with Existing MethodsWe show that alfaxalone results in more stable respiratory rates over the 120 minutes testing period, with evidence of smaller between measurements variability within this time window, when compared to ketamine plus isoflurane. Moreover, we demonstrate that both agents evoke similar mean BOLD signals across animals, but that alfaxalone elicits more consistent BOLD activity in response to sound stimuli across all ROIs observed. ConclusionsAlfaxalone is observed to be more physiologically stable, evoking a more consistent BOLD signal across animals than the co-administration of ketamine and isoflurane. Thus, an alfaxalone-based protocol may represent a better approach for neuroimaging in animal models requiring anesthesia.

neuroscience↗

bioRxiv2019

Cumulus: a cloud-based data analysis framework for large-scale single-cell and single-nucleus RNA-seq

Massively parallel single-cell and single-nucleus RNA-seq (sc/snRNA-seq) have opened the way to systematic tissue atlases in health and disease, but as the scale of data generation is growing, so does the need for computational pipelines for scaled analysis. Here, we developed Cumulus, a cloud-based framework for analyzing large scale sc/snRNA-seq datasets. Cumulus combines the power of cloud computing with improvements in algorithm implementations to achieve high scalability, low cost, user-friendliness, and integrated support for a comprehensive set of features. We benchmark Cumulus on the Human Cell Atlas Census of Immune Cells dataset of bone marrow cells and show that it substantially improves efficiency over conventional frameworks, while maintaining or improving the quality of results, enabling large-scale studies.

bioinformatics↗

bioRxiv2019

Transcript isoform sequencing reveals widespread promoter-proximal transcriptional termination

Higher organisms achieve optimal gene expression by tightly regulating the transcriptional activity of RNA Polymerase II (RNAPII) along DNA sequences of genes1. RNAPII density across genomes is typically highest where two key choices for transcription occur: near transcription start sites (TSSs) and polyadenylation sites (PASs) at the beginning and end of genes, respectively2,3. Alternative TSSs and PASs amplify the number of transcript isoforms from genes4, but how alternative TSSs connect to variable PASs is unresolved from common transcriptomics methods. Here, we define TSS/PAS pairs for individual transcripts in Arabidopsis thaliana using an improved Transcript Isoform sequencing (TIF-seq) protocol and find on average over four different isoforms corresponding to variable TSS/PAS pairs per expressed gene. While intragenic initiation represents a large source of regulated isoform diversity, we discover that [~] 14% of expressed genes generate relatively unstable short promoter-proximal RNAs (sppRNAs) from nascent transcript cleavage and polyadenylation shortly after initiation. The location of sppRNAs coincides with increased RNAPII density, indicating these large pools of promoter-stalled RNAPII across genomes are often engaged in transcriptional termination. RNAPII elongation factors progress transcription beyond sites of sppRNA formation, demonstrating RNAPII density near promoters represents a checkpoint for early transcriptional termination that governs full-length gene isoform expression.

genomics↗

bioRxiv2019

Molecular profiling of lymphovascular invasive cancer cells in TNBC using G&T-seq

Lymphovascular invasion (LVI) is a critical step in the metastatic process but have received relatively little attention due to the technical challenges associated with their isolation. In this study, we used laser capture microdissection (LCM) to isolate 97 cancer cell clusters from pathological frozen sections within lymphatic vessels, primary tumor tissue, and axillary lymph nodes of a triple negative breast cancer (TNBC) patient. Simultaneous genome and transcriptome amplification and sequencing (G&T-seq) performed on these clusters permitted a comprehensive depiction of the genomic and transcriptional profiles of cancer cells associated with LVI. Combination phylogeny analysis pointed to three evolutionarily distinct pathways of tumor clone development and metastasis in this patient, each of which was associated with a unique mRNA signature, and correlated to disparate overall survival outcomes. Moreover, hub gene evaluation found extensive down regulation of ribosomal protein mRNA to be a potential marker of poor prognosis in breast cancer patients.

cancer biology↗

bioRxiv2019

TLR2 signaling pathway combats Streptococcus uberis infection by inducing production of mitochondrial reactive oxygen species

Mastitis caused by Streptococcus uberis is a hazardous clinical disease in dairy animals. In this study, the role of Toll-like receptors (TLRs) and TLR-mediated signaling pathways in mastitis caused by S. uberis was investigated using mouse models and mammary epithelial cells (MECs). We used S. uberis to infect mammary glands of wild type, TLR2-/- and TLR4-/- mice and quantified the adaptor molecules in TLR signaling pathways, proinflammatory cytokines, tissue damage and bacterial count in mammary glands. When compared with TLR4 deficiency, TLR2 deficiency induced more severe pathological changes through myeloid differentiation primary response 88 (MyD88)-mediated signaling pathways during S. uberis infection. In MECs, TLR2 detected S. uberis infection and induced mitochondrial reactive oxygen species (mROS) to assist host control of secretion of inflammatory factors and elimination of intracellular S. uberis. Our results demonstrate that TLR2-mediated mROS have a significant effect on S. uberis-induced host defense responses in mammary glands as well as MECs. Author summaryS. uberis contributes significantly to global mastitis and remains a major obstacle for inflammation elimination due to its ability to form persistent infection in mammary tissue. The Toll-like receptor (TLR) family plays a significant role in identifying infections of intracellular bacteria and further triggering inflammatory reactions in immune cells. However, the detailed molecular mechanism by which TLR is regulated, and whether MECs, as the main cells in mammary gland, are tightly involved in these processes is poorly understood. Here, we used S. uberis to infect mammary glands of wild type, TLR2-/-, TLR4-/- mice and MECs to assess pathogenesis, proinflammatory cytokines, ROS as well as mROS levels during infection. We found that during S.uberis infection, it is TLR2 deficiency that induced more severe pathological changes through MyD88-mediated signaling pathways. In addition, our work demonstrates that mROS mediated by TLR2 has an important role in host defense response to combat S. uberis infection in mammary glands as well as MECs.

pathology↗

bioRxiv2019

Prophage induction mediated by quorum sensing signals alters soil bacterial community structure

Recent findings have revealed a role for bacterial quorum sensing communication in bacteriophage (phage) reproduction decisions. However quorum sensing based phage-host interactions remain largely unknown, with the mechanistic details revealed for only a few phage-host pairs and a dearth of information available at the microbial community level. Here we report on the specific action of individual quorum-sensing signals (acyl-homoserine lactones; AHLs varying in acyl-chain length from four to 14 carbon atoms) on prophage induction in soil microbial communities. AHL treatment significantly decreased the bacterial diversity (Shannon Index) but did not significantly impact species richness. Exposure to short chain-length AHLs resulted in a decrease in the abundance of different taxa than exposure to higher molecular weight AHLs. Each AHL targeted a different subset of bacterial taxa. Our observations demonstrate that individual AHLs trigger prophage induction in different bacterial taxa leading to changes in microbial community structure.

microbiology↗

bioRxiv2019

Genetic predisposition to myeloproliferative neoplasms implicates hematopoietic stem cell biology

Myeloproliferative neoplasms (MPNs) are blood cancers characterized by excessive production of mature myeloid cells that result from the acquisition of somatic driver mutations in hematopoietic stem cells (HSCs)1. While substantial progress has been made to define the causal somatic mutation profile for MPNs2, epidemiologic studies indicate a significant heritable component for the disease that is among the highest known for all cancers3. However, only a limited set of genetic risk loci have been identified, and the underlying biological mechanisms leading to MPN acquisition remain unexplained. Here, to define the inherited risk profile, we conducted the largest genome-wide association study of MPNs to date (978,913 individuals with 3,224 cases) and identified 14 genome-wide significant loci, as well as a polygenic signature that increases the odds for disease acquisition by nearly 3-fold between the top and median deciles. Interestingly, we find a shared genetic architecture between MPN risk and several hematopoietic traits spanning distinct lineages, as well as an association between increased MPN risk and longer leukocyte telomere length, collectively implicating HSC function and self-renewal. Strikingly, we find a significant enrichment for risk variants mapping to accessible chromatin in HSCs compared with other hematopoietic populations. Finally, gene mapping identifies modulators of HSC biology and targeted variant-to-function analyses suggest likely roles for CHEK2 and GFI1B in altering HSC function to confer disease risk. Overall, we demonstrate the power of human genetic studies to illuminate a previously unappreciated mechanism for MPN risk through modulation of HSC function.

genetics↗

bioRxiv2019

Functions for Cdc42p BEM Adaptors in Regulating a Differentiation-Type MAP Kinase Pathway

Rho GTPases regulate cell polarity and signal transduction pathways to control morphogenetic responses in different settings. In yeast, the Rho GTPase Cdc42p regulates cell polarity, and through the p21-activated kinase Ste20p, Cdc42p also regulates mitogen-activated protein kinase (MAPK) pathways (mating, filamentous growth or fMAPK, and HOG). Although much is known about how Cdc42p regulates cell polarity and the mating pathway, how Cdc42p regulates the fMAPK pathway is not clear. To address this question, Cdc42p-dependent MAPK pathways were compared in the filamentous ({sum}1278b) strain background. Each MAPK pathway showed a unique activation profile, with the fMAPK pathway exhibiting slow activation kinetics compared to the mating and HOG pathways. A previously characterized version of Cdc42p, Cdc42pE100A, that is specifically defective for fMAPK pathway signaling, was defective for interaction with Bem4p, the pathway-specific adaptor for the fMAPK pathway. Corresponding residues in Bem4p were identified that were required for interaction with Cdc42p and fMAPK pathway signaling. The polarity adaptor Bem1p also regulated the fMAPK pathway. In the fMAPK pathway, Bem1p recruited Ste20p to the plasma membrane, cycled between an open and closed conformation, and interacted with the GEF for Cdc42, Cdc24p. Bem1p also regulated effector pathways in different ways, behaving as a multi-functional adaptor in some pathways and an inert scaffold in others. Genetic suppression tests showed that Bem4p and Bem1p regulate the fMAPK pathway in an ordered sequence. Collectively, the study demonstrates unique and sequential functions for Rho GTPase adaptors in regulating MAPK pathways.\n\nHIGHLIGHTSO_LIComparing Cdc42p-dependent MAPK pathways showed that the fMAPK pathway had slow activation kinetics compared to the mating and HOG pathways.\nC_LIO_LIA collection of cdc42 alleles was tested for MAPK pathway functions.[§] Cdc42pE100A, previously characterized as being specifically defective for fMAPK signaling, showed reduced interaction with the fMAPK pathway adaptor Bem4p.\n[§]Corresponding residues in Bem4p were identified that were required for interaction with Cdc42p and fMAPK signaling.\n\nC_LIO_LIThe polarity adaptor Bem1p regulated the fMAPK pathway.[§] Bem1p regulated the fMAPK pathway by recruiting Ste20p to the plasma membrane, cycling between an open and closed conformation, and interacting with the Cdc42p GEF, Cdc24p.\n\nC_LIO_LIDifferent domains of Bem1p had different roles in regulating effector pathways.[§] Bem1p may function as a multi-functional adaptor in some pathways and an inert scaffold in others.\n\nC_LIO_LIBem4p and Bem1p regulated the fMAPK pathway in an ordered sequence.[§] The data support a model where Bem4p recruits Cdc24p to GDP-Cdc42p, and Bem1p directs GTP-Cdc42p to Ste20p at the plasma membrane.\n[§]The bud-site GTPase Rsr1p regulates Cdc24p in the fMAPK pathway but does not initiate signaling.\n\nC_LI

genetics↗

bioRxiv2019

Structural changes in the gut microbiome of short-term and long-term medical workers compared to normal controls

ObjectiveHospital environment has been implicated in enrichment and exchange of pathogens and antibiotic resistances, but its potential in shaping the symbiotic microbial community of the hospital staff is unclear. This study was designed to evaluate the alteration of gut microbiome in medical workers compared to non-medical controls.\n\nDesignProspective cross-sectional cohort study.\n\nSettingIntensive care unit (ICU) and other departments from a center in northeast China.\n\nSubjects175 healthy medical workers (1-3 months short-term workers, n = 80; >1 year long-term workers, n = 95) and 80 healthy normal controls.\n\nInterventionsNone.\n\nMeasurements and Main ResultsFecal samples of all subjects were analyzed using the 16S rRNA gene sequencing. Medical workers exhibited remarkable deviation in gut microbial within-sample diversity and enterotypes stratification, and shift in overall microbial structure. Short-term workers were significantly more abundant in taxa including Lactobacillus, Butyrivibrio, Clostridiaceae_Clostridium, Ruminococcus, Dialister, Bifidobacterium, Odoribacter and Desulfovibrio, and with lower abundances of Bacteroides and Blautia compared with the controls. While long-term workers were enriched in taxa including Dialister, Veillonella, Clostridiaceae_Clostridium, Bilophila, Desulfovibrio, Pseudomonas and Akkermansia, with lower abundances of Bacteroides and Coprococcus compared with the controls. In addition, medical workers working years (short-term vs. long-term), hospital department (resident doctor vs. nursing staff) and work position (ICU vs. not-ICU) revealed considerable effects on their gut microbiome. Moreover, by analyzing the environmental samples (n = 9) around the inpatient wards and the hospital, we showed that the gut microbiota of medical workers was closer to environmental microbiota than that of the normal controls, probably in correlation to lasting exposure to the pathogenic taxa (e.g. Pseudomonas) in health workers.\n\nConclusionsOur findings demonstrated structural changes in the gut microbial community of the medical workers. Further studies are proposed for investigating the potentially physiological influence of the altered gut microbiome in medical participants.\n\nIMPORTANCEIn this study, we for the first time focused on the influence of hospital environmental factors on gut microbiota of medical workers. The significance of our study is not limited to revealing the remodeling effect of the hospital environment on the gut microbiota of medical workers. Based on these, we also propose targeted and operational recommendations that can promote the health of hospital staff.

microbiology↗

bioRxiv2019

A single-cell and single-nucleus RNA-seq toolbox for fresh and frozen human tumors

Single cell genomics is essential to chart the complex tumor ecosystem. While single cell RNA-Seq (scRNA-Seq) profiles RNA from cells dissociated from fresh tumor tissues, single nucleus RNA-Seq (snRNA-Seq) is needed to profile frozen or hard-to-dissociate tumors. Each strategy requires modifications to fit the unique characteristics of different tissue and tumor types, posing a barrier to adoption. Here, we developed a systematic toolbox for profiling fresh and frozen clinical tumor samples using scRNA-Seq and snRNA-Seq, respectively. We tested eight tumor types of varying tissue and sample characteristics (resection, biopsy, ascites, and orthotopic patient-derived xenograft): lung cancer, metastatic breast cancer, ovarian cancer, melanoma, neuroblastoma, pediatric sarcoma, glioblastoma, pediatric high-grade glioma, and chronic lymphocytic leukemia. Analyzing 212,498 cells and nuclei from 39 clinical samples, we evaluated protocols by cell quality, recovery rate, and cellular composition. We optimized protocols for fresh tissue dissociation for different tumor types using a decision tree to account for the technical and biological variation between clinical samples. We established methods for nucleus isolation from OCT embedded and fresh-frozen tissues, with an optimization matrix varying mechanical force, buffer, and detergent. scRNA-Seq and snRNA-Seq from matched samples recovered the same cell types and intrinsic expression profiles, but at different proportions. Our work provides direct guidance across a broad range of tumors, including criteria for testing and selecting methods from the toolbox for other tumors, thus paving the way for charting tumor atlases.

genomics↗

bioRxiv2019

The co-stimulation of anti-CD28 and IL-2 enhances the sensitivity of ELISPOT assays for detection of neoantigen-specific T cells in PBMC

Neoantigen-based cancer immunotherapies hold the promise of being a truly personalized, effective treatment for diverse cancer types. ELISPOT assays, as a powerful experimental technique, can verify the existence of antigen specific T cells to support basic clinical research and monitor clinical trials. However, despite the high sensitivity of ELISPOT assays, detecting immune responses of neoantigen specific T cells in a patient or healthy donors PBMCs is still extremely difficult, since the frequency of these T cells can be very low. We developed a novel experimental method, by co-stimulation of T cells with anti-CD28 and IL-2 at the beginning of ELISPOT, to further increase the sensitivity of ELISPOT and mitigate the challenge introduced by low frequency T cells. Under the optimal concentration of 1g/mL for anti-CD28 and 1U/ml for IL-2, our new method can increase sensitivity by up to 5 folds comparing to a conventional ELISPOT, and outperforms other cytokine stimulation alternatives. To the best of our knowledge, this is the first report that the co-stimulation of anti-CD28 and IL-2 is able to significantly improve the sensitivity of ELISPOT assays, indicating that anti-CD28 and IL-2 signaling can act in synergy to lower the T cell activation threshold and trigger more neoantigen-specific T cells.

immunology↗

bioRxiv2019

Fluoxetine improves behavioural deficits induced by chronic alcohol addiction by alleviating RNA editing of 5-HT2C receptors in astrocytes

The alcoholism and major depressive disorder are common comorbidity, with alcohol-induced depressive symptoms being eased by selective serotonin re-uptake inhibitors (SSRIs), although the mechanisms underlying pathology and therapy are poorly understood. Chronic alcohol consumption affects the activity of serotonin 2C receptors (5-HT2CR) by regulating adenosine deaminases acting on RNA (ADARs) in neurones. Astrogliopathic changes contribute to alcohol addiction, while decreased release of ATP from astrocytes can trigger depressive-like behaviours in mice. In this study, we discovered that chronic alcohol addiction increased editing of RNA of 5-HT2CR via up-regulating the expression of ADAR2, consequnetly reducing the release of ATP from astrocytes induced by 5-HT2CR agonist, MK212. At the same time SSRI antidepressant fluoxetine decreased the expression of ADAR2 through the transactivation of EGFR/PI3K/AKT/cFos signalling pathway. Reduction in ADAR2 activity eliminated the RNA editing of 5-HT2CR in vivo and increased release of astroglial ATP which was suppressed by chronic alcohol consumption. Meanwhile, fluoxetine improved the behavioural and motor symptoms induced by alcohol addiction and decreased the alcohol intake. Our study suggests that the astrocytic 5-HT2CR contribute to alcohol addiction; fluoxetine thus can be used to alleviate depression, treat alcohol addiction and improve motor coordination.

neuroscience↗

bioRxiv2019

De novo assembly of a Tibetan genome and identification of novel structural variants associated with high altitude adaptation

Structural variants (SVs) may play important roles in human adaption to extreme environments such as high altitude but have been under-investigated. Here, combining long-read sequencing with multiple scaffolding techniques, we assembled a high-quality Tibetan genome (ZF1), with a contig N50 length of 24.57 mega-base pairs (Mb) and a scaffold N50 length of 58.80 Mb. The ZF1 assembly filled 80 remaining N-gaps (0.25 Mb in total length) in the reference human genome (GRCh38). Markedly, we detected 17,900 SVs, among which the ZF1-specific SVs are enriched in GTPase activity that is required for activation of the hypoxic pathway. Further population analysis uncovered a 163-bp intronic deletion in the MKL1 gene showing large divergence between highland Tibetans and lowland Han Chinese. This deletion is significantly associated with lower systolic pulmonary arterial pressure, one of the key adaptive physiological traits in Tibetans. Moreover, with the use of the high quality de novo assembly, we observed a much higher rate of genome-wide archaic hominid (Altai Neanderthal and Denisovan) shared non-reference sequences in ZF1 (1.32%-1.53%) compared to other East Asian genomes (0.70%-0.98%), reflecting a unique genomic composition of Tibetans. One such archaic-hominid shared sequence, a 662-bp intronic insertion in the SCUBE2 gene, is enriched and associated with better lung function (the FEV1/FVC ratio) in Tibetans. Collectively, we generated the first high-resolution Tibetan reference genome, and the identified SVs may serve as valuable resources for future evolutionary and medical studies.

genomics↗

bioRxiv2019

Variations of gut microbiome profile under different storage conditions and preservation periods: A multi-dimensional evaluation

Gut dysbiosis contributes to the development of various human diseases. There are thousands of publications per year for investigating the role of gut microbiota in development of various diseases. However, emerging evidence has indicated data inconsistency between different studies frequently, but gained very little attention by scientists. There are many factors that can cause data variation and inconsistency during the process of microbiota study, in particular, sample storage conditions and subsequent sequencing process. Here, we systemically evaluated the impacts of six fecal sample storage conditions (including -80 {degrees}C, -80 {degrees}C with 70% ethanol (ET_-80 {degrees}C), 4{degrees}C with 70% ethanol (ET_4{degrees}C), and three commercial storage reagents including OMNIgene*GUT OMR-200 (GT), MGIEasy (MGIE), and Longsee (LS)), storage periods (1, 2 weeks or 6 months), and sequencing platform on gut microbiome profile using 16S rRNA gene sequencing. Our results suggested that -80{degrees}C is acceptable for fecal sample storage, and the addition of 70% ethanol offers some benefits. Meanwhile, we found that samples in ET_4 {degrees}Cand GT reagents are comparable, both introduced multi-dimensional variations. The use of MGIE resulted in the least alteration, while the greatest changes were observed in samples stored in LS reagents during the whole experiment. Finally, we also confirmed that variations caused by storage condition were larger than that of storage time and sequencing platform.\n\nIMPORTANCEIn the current study, we performed a multi-dimensional evaluation on the variations introduced by types of storage conditions, preservation period and sequencing platform on the basis of data acquired from 16S rRNA gene sequencing. The efficacy of preservation methods was comprehensively evaluated by DNA yield and quality, and {beta} diversity, relative abundance of the dominant bacteria and functional bacteria associated with SCFAs producing and BAs metabolism. Our results confirmed that variations introduced by storage condition were larger than that of storage periods and sequencing platform. Collectively, our study provided a comprehensive view to the impacts of storage conditions, storage times, and sequencing platform on gut microbial profile.

microbiology↗

bioRxiv2019

Sleep deprivation selectively down-regulates astrocytic 5-HT2B receptors and triggers depressive-like behaviors via stimulating P2X7 receptors

Chronic loss of sleep damages health and disturbs quality of life. The long-lasting sleep deprivation (SD) as well as sleep abnormalities is a substantial risk factor for major depressive disorder (MDD), although the underlying mechanisms are not clear. In our previous studies, we report the activation of nucleotide-binding domain and leucine-rich repeat protein-3 (NLRP3) inflammasome induced by long-term SD is P2X7 receptors (P2X7R) dependent, and antidepressant fluoxetine could alleviate this neuroinflammasome via 5-HT2B receptors (5-HT2BR) in astrocytes. Here, we discovered that the chronic SD activates astroglial P2X7 receptors, which in turn selectively down-regulated expression of 5-HT2BR in astrocytes. Stimulation of P2X7R induced by SD suppressed the phosphorylation of AKT and FoxO3a selectively in astrocytes, but not in neurones. The over-expression of FoxO3a in astrocytes inhibited expression of 5-HT2BR. Down-regulation of 5-HT2BR instigated by SD suppressed activation of STAT3 and relieved the inhibition of Ca2+-dependent phospholipase A2 (cPLA2). This latter cascade promoted the release of arachidonic acid (AA) and prostaglandin E2 (PGE2). The depressive-like behaviours induced by SD were alleviated in P2X7R-KO mice. Our study reveals the mechanism underlying chronic SD-induced depressive-like behaviors and highlights that blocking P2X7 receptors or activating 5-HT2BR in astrocytes could play a key role for exploring the therapeutic strategies aimed at the depression evoked by sleep disorders.\n\nMain PointsChronic SD selectively down-regulates expression of 5-HT2BR through activation of P2X7R in astrocytes. SD promotes the release of AA and PGE2 via the decreased 5-HT2BR, these factors induce depressive-like behaviors.

neuroscience↗

bioRxiv2019

Multiple Myeloma DREAM Challenge Reveals Epigenetic Regulator PHF19 As Marker of Aggressive Disease

While the past decade has seen meaningful improvements in clinical outcomes for multiple myeloma patients, a subset of patients do not benefit from current therapeutics for unclear reasons. Many gene expression-based models of risk have been developed, but each model uses a different combination of genes and often involve assaying many genes making them difficult to implement. We organized the Multiple Myeloma DREAM Challenge, a crowdsourced effort to develop models of rapid progression in newly diagnosed myeloma patients and to benchmark these against previously published models. This effort lead to more robust predictors and found that incorporating specific demographic and clinical features improved gene expression-based models of high risk. Furthermore, post challenge analysis identified a novel expression-based risk marker and histone modifier, PHF19, which featured prominently in several independent models. Lastly, we show that a simple four feature predictor composed of age, International Staging System stage (ISS), and expression of PHF19 and MMSET performs similarly to more complex models with many more gene expression features included.\n\nKey pointsO_LIMost comprehensive and unbiased assessment of prognostic biomarkers in MM resulting in a robust and parsimonious model.\nC_LIO_LIIdentification of PHF19 as the expression based biomarker most strongly associated with rapid progression in MM patients.\nC_LI

cancer biology↗

bioRxiv2019

The maize Hairy Sheath Frayed1 (Hsf1) mutant alters leaf patterning through increased cytokinin signaling

Leaf morphogenesis requires growth polarized along three axes - proximal-distal, medial-lateral and abaxial-adaxial. Grass leaves display a prominent proximal-distal (P-D) polarity consisting of a proximal sheath separated from the distal blade by the auricle and ligule. Although proper specification of the four segments is essential for normal morphology, our knowledge is incomplete regarding the mechanisms which influence P-D specification in monocots like maize (Zea mays). Here we report the identification of the gene underlying the semi-dominant, leaf patterning, maize mutant Hairy Sheath Frayed1 (Hsf1). Hsf1 plants produce leaves with outgrowths consisting of proximal segments - sheath, auricle and ligule - emanating from the distal blade margin. Analysis of three independent Hsf1 alleles revealed gain-of-function missense mutations in the ligand binding domain of the maize cytokinin (CK) receptor Zea mays Histidine Kinase1 (ZmHK1) gene. Biochemical analysis and structural modeling suggest the mutated residues near the CK binding pocket affect CK binding affinity. Treatment of wild type seedlings with exogenous CK phenocopied the Hsf1 leaf phenotypes. Results from expression and epistatic analyses indicated the Hsf1 mutant receptor appears to be hypersignaling. Our results demonstrate that hypersignaling of CK in incipient leaf primordia can reprogram developmental patterns in maize.\n\nSummaryIncreased cytokinin signaling in the maize Hairy Sheath Frayed1 mutant modifies leaf development leading to changes in pattering, growth and cell identity.

plant biology↗