Biology subjects

Ahmad, S.

Publications and source records attributed to Ahmad, S..

At least 91 records · Page 5Linked to original sources

bioRxiv2021

Interaction of the Causal Agent of Apricot bud gall Acalitus phloeocoptes (Nalepa) with Apricot: Implications in Infested Tissues

Apricot bud gall mite, Acalitus phloeocoptes (Nalepa), is a destructive arthropod pest that causes significant economic losses to apricot trees worldwide. Infested bud examination revealed that the starch granules in the bud axon were extended at the onset of the attack. During the later stages of the attack, the cytoplasm was distributed in apricot. The results also demonstrated that the accumulation of large amounts of cytokinin (zeatin, ZT) and auxin (indoleacetic acid, IAA) led to rapid bud proliferation during the rapid growth period. Abscisic acid (ABA) controls the development of gall buds and plays a vital role in gall bud maturity. The reduction of gibberellic acid (GA3) content led to rapid lignification at the later phase of bud development. Our results reveal the mechanism underlying the interaction of apricot bud gall with its parasite and provide reliable information for designing valuable breeding programs. This study will be quite useful for pest management and will provide a comprehensive evaluation of ecology-based cost-effective control, life history and demographic parameters of A. phloeocoptes.

microbiology↗

bioRxiv2021

Genome sequencing and functional genes comparison between Sphingopyxis USTB-05 and Sphingomonas morindae NBD5

Sphingomonadaceae has a large number of strains that can biodegrade hepatotoxins or environmental pollutants. The latest research reported that certain strains can also produce lutein. Based on the third-generation sequencing technology, we analyzed the whole genome sequence and compared related functional genes of two strains of Sphingomonadaceae isolated from different habitats. The genome of Sphingopyxis USTB-05 was 4,679,489 bp and contained 4312 protein coding genes. The 4,239,716 bp nuclear genome of Sphingomonas morindae NBD5, harboring 3882 protein coding genes, has two sets of chromosomes. Both strains had lutein synthesis metabolism pathway sharing identical synthetic genes of crtB, crtE, crtI, crtQ, crtL, crtR, atoB, dxs, dxr, ispD, ispE, ispDF, gcpE, ispG, ispH, ispA, ispB and ispU. Sphingopyxis USTB-05 had hepatotoxins microcystins and nodularin metabolic pathways related to 16 genes (ald, ansA, gdhA, crnA, phy, ocd, hypdh, spuC, nspC, speE, murI, murD, murC, hmgL, bioA and glsA), while these genes were not found in Sphingomonas morindae NBD5. The unique protein sequences of strain NBD5 and strain USTB-05 were 155 and 199, respectively. The analysis of whole genome of the two Sphingomonadaceae strains provides insights into prokaryote evolution, the new pathway for lutein production and the new genes for environmental pollutant biodegradation. IMPORTANCEUnderstanding the functional genes related to the special functions of strains is essential for humans to utilize microbial resources. The ability of Sphingopyxis USTB-05 to degrade hepatotoxins microcystins and nodularin has been studied in depth, however the complete metabolic process still needs further elucidation. Sphingomonas morindae NBD5 can produce lutein, and it is necessary to determine whether there is a new pathway of lutein. In this study, the whole genome sequencing of Sphingopyxis USTB-05 and Sphingomonas morindae NBD5 were performed for the first time. Lutein synthesis metabolic pathways and synthetic genes were discovered in Sphingomonadaceae. We predicted the existence of new lutein synthesis pathways and revealed most of the genes of the new synthesis pathways. A comparative analysis of the functional genes of the two strains revealed that Sphingopyxis USTB-05 contains a large number of functional genes related to the biodegradation of hepatotoxins or hexachlorocyclohexane. Among them, the functional genes related to the biodegradation and metabolism of hexachlorocyclohexane had not been previously reported. These findings lay the foundation for the biosynthesis of lutein using Sphingomonas morindae NBD5 or Sphingopyxis USTB-05 and the application of Sphingopyxis USTB-05 for the biodegradation of hepatotoxins microcystins and nodularin or environmental pollutants.

microbiology↗

bioRxiv2021

DNA damage-induced phosphorylation of histone H2A at serine 15 is linked to DNA end resection

The repair of DNA double-strand breaks (DSBs) occurs in chromatin and several histone post-translational modifications have been implicated in the process. Modifications of histone H2A N-terminal tail has also been linked to DNA damage response, through acetylation or ubiquitination of lysine residues that regulate repair pathway choice. Here, we characterize a new DNA damage-induced phosphorylation on chromatin, at serine 15 of H2A in yeast. We show that this SQ motif functions independently of the classical S129 C-terminal site ({gamma}H2A) and mutant mimicking constitutive phosphorylation increases cell sensitivity to DNA damage. H2AS129ph is induced by Tel1ATM and Mec1ATR, and loss of Lcd1ATRIP or Mec1 signaling decreases {gamma}H2A spreading distal to the DSB. In contrast, H2AS15ph is completely dependent on Lcd1ATRIP, indicating that this modification only happens when end resection is engaged. This is supported by an increase of RPA and a decrease in DNA signal near the DSB in the H2AS-15E phosphomimic mutant, indicating higher resection. This serine is replaced by a lysine in mammals (H2AK15), which undergoes an acetyl-monoubiquityl switch to regulate binding of 53BP1 and resection. This regulation seems functionally conserved with budding yeast H2AS15 and 53BP1-homolog Rad9, using different post-translational modifications between organisms but achieving the same function.

molecular biology↗

bioRxiv2021

Voltage-Gated Potassium Channel Kv1.3 as a Therapeutic Target for Pancreatic Ductal Adenocarcinoma

The mitochondrial voltage-gated potassium channel, Kv1.3, has been emerged as an attractive oncologic target but its function in pancreas cancer (PDAC) is unknown. In this study we evaluated tissue expression of Kv1.3 in resected PDAC from 55 patients and tumor inhibition in orthotopic mouse models using the recently developed Kv1.3 inhibitors PCARBTP and PAPTP. Immunohistochemistry of 55 human PDAC specimens showed that all tumors expressed Kv1.3 with 60% of tumor specimens having high Kv1.3 expression. In pancreas tumor models (Pan02 cells injected into C57BL/6 mice), PCARBTP and PAPTP treatment resulted in tumor reductions of 87% and 70%, respectively. When combined with gemcitabine/abraxane, this increased to 95% and 80% without resultant organ toxicity. In vivo models indicated PCARBTP-mediated cell death occurred through the p38-MAPK pathway. In vitro-generated resistant clones to PCARBTP escaped cell death through upregulation of the anti-oxidant system as determined using SWATH-MS analysis. These data show Kv1.3 is highly expressed in resected human PDAC and the use of novel mitochondrial Kv1.3 inhibitors combined with cytotoxic chemotherapies might be novel, effective treatment for PDAC.

cancer biology↗

bioRxiv2021

Antagonistic relationship of NuA4 with the Non-Homologous End-Joining machinery at DNA damage sites.

The NuA4 histone acetyltransferase complex, apart from its known role in gene regulation, has also been directly implicated in the repair of DNA double-strand breaks (DSBs), favoring homologous recombination (HR) in S/G2 during the cell cycle. Here, we investigate the antagonistic relationship of NuA4 with non-homologous end joining (NHEJ) factors. We show that budding yeast Rad9, the 53BP1 ortholog, can inhibit NuA4 acetyltransferase activity when bound to chromatin in vitro. While we previously reported that NuA4 is recruited at DSBs during the S/G2 phase, we can also detect its recruitment in G1 when genes for NHEJ factors Rad9, Yku80 and Nej1 are mutated. This is accompanied with the binding of single-strand DNA binding protein RPA and Rad52, indicating DNA end resection in G1 as well as recruitment of the HR machinery. This NuA4 recruitment to DSBs in G1 depends on both Xrs2 and Lcd1/Ddc2 and is linked to the hyper-resection phenotype of NHEJ mutants. It also implicates NuA4 in the resection-based single-strand annealing (SSA) repair pathway along Rad52. Interestingly, we identified two novel non-histone acetylation targets of NuA4, Nej1 and Yku80. Acetyl-mimicking mutant of Nej1 inhibits repair of DNA breaks by NHEJ, decreases its interaction with other core NHEJ factors such as Yku80 and Lif1 and favors end resection. Altogether, these results establish a strong reciprocal antagonistic regulatory function of NuA4 and NHEJ factors in repair pathway choice and suggests a role of NuA4 in alternative repair mechanism that involves DNA-end resection in G1. Author SummaryDNA double-strand breaks (DSBs) are one of the most harmful form of DNA damage. Cells employ two major repair pathways to resolve DSBs: Homologous Recombination (HR) and Non-Homologous End Joining (NHEJ). Here we wanted to dissect further the role played by the NuA4 (Nucleosome acetyltransferase of histone H4) complex in the repair of DSBs. Budding yeast NuA4 complex, like its mammalian homolog TIP60 complex, has been shown to favor repair by HR. Here, we show that indeed budding yeast NuA4 and components of the NHEJ repair pathway share an antagonistic relationship. Deletion of NHEJ components enables increased recruitment of NuA4 in the vicinity of DSBs, possible through two independent mechanisms, where NuA4 favors the end resection process which implicates it in repair by single-strand annealing (SSA), an alternate homology-based repair pathway. Additionally, we also present two NHEJ core components as new targets of NuA4 acetyltransferase activity and suggest that these acetylation events can disassemble the NHEJ repair complex from DSBs, favoring repair by HR. Our study demonstrates the importance of NuA4 in the modulation of DSB repair pathway choice.

molecular biology↗

bioRxiv2020

Robust SARS-CoV-2-specific T-cell immunity is maintained at 6 months following primary infection

The immune response to SARS-CoV-2 is critical in both controlling primary infection and preventing re-infection. However, there is concern that immune responses following natural infection may not be sustained and that this may predispose to recurrent infection. We analysed the magnitude and phenotype of the SARS-CoV-2 cellular immune response in 100 donors at six months following primary infection and related this to the profile of antibody level against spike, nucleoprotein and RBD over the previous six months. T-cell immune responses to SARS-CoV-2 were present by ELISPOT and/or ICS analysis in all donors and are characterised by predominant CD4+ T cell responses with strong IL-2 cytokine expression. Median T-cell responses were 50% higher in donors who had experienced an initial symptomatic infection indicating that the severity of primary infection establishes a setpoint for cellular immunity that lasts for at least 6 months. The T-cell responses to both spike and nucleoprotein/membrane proteins were strongly correlated with the peak antibody level against each protein. The rate of decline in antibody level varied between individuals and higher levels of nucleoprotein-specific T cells were associated with preservation of NP-specific antibody level although no such correlation was observed in relation to spike-specific responses. In conclusion, our data are reassuring that functional SARS-CoV-2-specific T-cell responses are retained at six months following infection although the magnitude of this response is related to the clinical features of primary infection.

immunology↗

bioRxiv2020

Structural basis for effector transmembrane domain recognition by type VI secretion system chaperones

Type VI secretion systems facilitate the delivery of antibacterial effector proteins between neighbouring Gram-negative bacteria. A subset of these effectors harbor N-terminal transmembrane domains (TMDs) implicated in effector translocation across the target cell membrane. However, the abundance and distribution of these TMD-containing effectors has remained unknown. Here we report the discovery of prePAAR, a conserved motif found in over 6,000 putative TMD-containing effectors. Based on their differing sizes and number of TMDs these effectors fall into two distinct classes that are unified by their requirement for a member of the Eag family of T6SS chaperones for export. Co-crystal structures of class I and class II effector TMD-chaperone complexes from Salmonella Typhimurium and Pseudomonas aeruginosa, respectively, reveals that Eag chaperones mimic transmembrane helical packing to stabilize effector TMDs. In addition to participating in the chaperone-TMD interface, we find that prePAAR functions to facilitate proper folding of the downstream PAAR domain, which is required for effector interaction with the T6SS spike. Taken together, our findings define the mechanism of chaperone-assisted secretion of a widespread family of T6SS membrane protein effectors.

biochemistry↗

bioRxiv2020

Structural analysis of RIG-I-like receptors reveals ancient rules of engagement between diverse RNA helicases and TRIM ubiquitin ligases

RNA helicases and ubiquitin E3 ligases mediate many critical functions within cells, but their actions have been studied largely in distinct biological contexts. Here, we uncover evolutionarily conserved rules of engagement between RNA helicases and tripartite motif (TRIM) E3 ligases that lead to their functional coordination in vertebrate innate immunity. Using cryo-electron microscopy and biochemistry, we show that RIG-I-like receptors (RLRs), viral RNA receptors with helicase domains, interact with their cognate TRIM/TRIM-like E3 ligases through similar epitopes in the helicase domains. Their interactions are avidity-driven, restricting the actions of TRIM/TRIM-like proteins and consequent immune activation to RLR multimers. Mass-spectrometry and phylogeny-guided biochemical analyses further reveal that similar rules of engagement apply to diverse RNA helicases and TRIM/TRIM-like proteins. Our analyses thus reveal not only conserved substrates for TRIM proteins but also unexpectedly deep evolutionary connections between TRIM proteins and RNA helicases, thereby linking ubiquitin and RNA biology throughout animal evolution.

biochemistry↗

bioRxiv2020

Immuno-informatics Characterization SARS-CoV-2 Spike Glycoprotein for Prioritization of Epitope based Multivalent Peptide Vaccine

The COVID-19 pandemic caused by SARS-CoV-2 is a public-health emergency of international concern and thus calling for the development of safe and effective therapeutics and prophylactics particularly a vaccine to protect against the infection. SARS-CoV-2 spike glycoprotein is an attractive candidate for vaccine, antibodies and inhibitor development because of many roles it plays in attachment, fusion and entry into the host cell. In this study, we characterized the SARS-CoV-2 spike glycoprotein by immune-informatics techniques to put forward potential B and T cell epitopes, followed by the use of epitopes in construction of a multi-epitope peptide vaccine construct (MEPVC). The MEPVC revealed robust host immune system simulation with high production of immunoglobulins, cytokines and interleukins. Stable conformation of the MEPVC with a representative innate immune TLR3 receptor was observed involving strong hydrophobic and hydrophilic chemical interactions, along with enhanced contribution from salt-bridges towards inter-molecular stability. Molecular dynamics simulation in solution aided further in interpreting strong affinity of the MEPVC for TLR3. This stability is the attribute of several vital residues from both TLR3 and MEPVC as shown by radial distribution function (RDF) and a novel analytical tool axial frequency distribution (AFD). Comprehensive binding free energies estimation was provided at the end that concluded major domination by electrostatic and minor from van der Waals. Summing all, the designed MEPVC has tremendous potential of providing protective immunity against COVID-19 and thus has the potential to be considered in experimental studies.

bioinformatics↗

bioRxiv2019

Selective Liposomal Transport Through Blood Brain Barrier Disruption in Ischaemic Stroke Reveals Two Distinct Therapeutic Opportunities

The development of new therapies for stroke continues to face repeated translational failures. Brain endothelial cells form paracellular and transcellular barriers to many blood-borne therapies and the development of efficient delivery strategies is highly warranted. Here, in a mouse model of stroke, we show selective recruitment of clinically used liposomes into the ischaemic brain that correlates with biphasic blood brain barrier (BBB) breakdown. Intravenous administration of liposomes into mice exposed to transient middle cerebral artery occlusion took place at early (0.5h and 4h) and delayed (24h and 48h) timepoints, covering different phases of BBB disruption after stroke. Using a combination of in vivo real-time imaging and histological analysis we show that selective liposomal brain accumulation coincides with biphasic enhancement in transcellular transport followed by a delayed impairment to the paracellular barrier. This process precedes neurological damage in the acute phase and maintains long-term liposomal co-localisation within the neurovascular unit, which could have great potential for neuroprotection. Levels of liposomal uptake by glial cells are similarly selectively enhanced in the ischaemic region late after experimental stroke (2-3 days), highlighting their potential for blocking delayed inflammatory responses or shifting the polarization of microglia/macrophages towards brain repair.\n\nThese findings demonstrate the capability of liposomes to maximise selective translocation into the brain after stroke and identify for the first time two windows for therapeutic manipulation. This emphasizes the benefits of selective drug delivery for efficient tailoring of new stroke treatments.

neuroscience↗

bioRxiv2019

Bolt: A new age peptide search engine for comprehensive MS/MS sequencing through vast protein databases in minutes.

The standard platform for proteomics experiments today is mass spectrometry, particularly for samples derived from complex matrices. Recent increases in mass spectrometry sequencing speed, sensitivity and resolution now permit comprehensive coverage of even the most precious and limited samples, particularly when coupled with improvements in protein extraction techniques and chromatographic separation. However, the results obtained from laborious sample extraction and expensive instrumentation are often hindered by a sub optimal data processing pipelines. One critical data processing piece is peptide sequencing which is most commonly done through database search engines. In almost all MS/MS search engines users must limit their search space due to time constraints and q-value considerations. In nearly all experiments, the search is limited to a canonical database that typically does not reflect the individual genetic variations of the organism being studied. Searching for posttranslational modifications can exponentially increase the search space thus careful consideration must be used during the selection process. In addition, engines will nearly always assume the presence of only fully tryptic peptides. Despite these stringent parameters, proteomic data searches may take hours or even days to complete and opening even one of these criteria to more realistic biological settings will lead to detrimental increases in search time on expensive and custom data processing towers. Even on high performance servers, these search engines are computationally expensive, and most users decide to dial back their search parameters. We present Bolt, a new search engine that can search more than nine hundred thousand protein sequences (canonical, isoform, mutations, and contaminants) with 31 post translation modifications and N-terminal and C-terminal partial tryptic search in a matter of minutes on a standard configuration laptop. Along with increases in speed, Bolt provides an additional benefit of improvement in high confidence identifications, as demonstrated by manual validation of unique peptides identified by Bolt that were missed with parallel searching using standard engines. When in disagreement, 67% of peptides identified by Bolt may be manually validated by strong fragmentation patterns, compared to 14% of peptides uniquely identified by SEQUEST. Bolt represents, to the best of our knowledge, the first fully scalable, cloud based quantitative proteomic solution that can be operated within a user-friendly GUI interface. Data are available via ProteomeXchange with identifier PXD012700. Abstract Graphic O_FIG O_LINKSMALLFIG WIDTH=95 HEIGHT=200 SRC="FIGDIR/small/551622v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@8fcb0org.highwire.dtl.DTLVardef@58e02org.highwire.dtl.DTLVardef@ae5ec2org.highwire.dtl.DTLVardef@1cf5281_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2019

Phytochemical evaluation, Embryotoxicity and Teratogenic effects of Curcuma longa extract in Zebrafish (Danio rerio).

Curcuma longa L. is a rhizome plant often used as traditional medicinal preparations in Southeast Asia. The dried powder is commonly known as cure-all herbal medicine with a wider spectrum of pharmaceutical activities. In spite of the widely reported therapeutic applications of C. longa, research on its safety and teratogenic effects on zebrafish embryos and larvae is still limited. Hence, this research was aimed to assess the toxicity of C. longa extract on zebrafish. Using a reflux flask, methanol extract of C. longa was extracted and the identification and quantification of total flavonoids were carried out with HPLC. Twelve fertilized embryos were selected to test the embryotoxicity and teratogenicity at different concentration points. The embryos were exposed to the extract in the E3M medium while the control was only exposed to E3M and different developmental endpoints were recorded with the therapeutic index calculated using the ratio of LC50/EC50. C. longa extract was detected to be highly rich in flavonoids with catechin, epicatechin and naringenin as the 3 most abundant with concentrations of 3,531.34, 688.70 and 523.83g/mL respectively. The toxicity effects were discovered to be dose-dependent at dosage above 62.50g/mL, while at 125.0g/mL, mortality of embryos was observed and physical body deformities of larvae was recorded among the hatched embryos at higher concentrations. Teratogenic effect of the extract was severe at higher concentrations producing physical body deformities such as kink tail, bend trunk, enlarged yolk sac edema. Finally, the Therapeutic Index (TI) values calculated were approximately same for different concentration points tested. Overall, the result revealed that plants having therapeutic potential could also pose threats when consumed at higher doses especially on the embryos. Therefore, detailed toxicity analysis should be carried out on medicinal plants to ascertain their safety on the embryos and its development.

developmental biology↗

bioRxiv2018

Network-based identification of genetic factors in Ageing, lifestyle and Type 2 Diabetes that Influence in the progression of Alzheimer’s disease

MotivationAlzheimers disease (AD) is currently incurable and the causative risk factors are still poorly understood, which impedes development of effective prevention and treatment strategies. We propose a network-based quantitative framework to reveal details of the complex interaction between the various genetic contributors to AD susceptibility. We analyzed gene expression microarray data from tissues affected by AD, advanced ageing, high alcohol consumption, type II diabetes, high body fat, high dietary fat, obesity, high dietary red meat intake, sedentary lifestyle, smoking, and control datasets. We developed genetic associations and diseasome networks for these factors and AD using the neighborhood-based benchmarking and multilayer network topology approaches.\n\nResultsThe study identified 484 genes differentially expressed between AD and controls. Among these, 27 genes showed elevated expression both in individuals in AD and in smoker datasets; similarly 21 were observed in AD and type II diabetes datasets and 12 for AD and sedentary lifestyle datsets. However, AD shared less than ten such elevated expression genes with other factors examined. 3 genes, namely HLA-DRB4, IGH and IGHA2 showed increased expression among the AD, type II diabetes and alcohol consumption datasets; 2 genes, IGHD and IGHG1, were commonly up-regulated among the AD, type II diabetes, alcohol consumption and sedentary lifestyle datasets. Protein-protein interaction networks identified 10 hub genes: CREBBP, PRKCB, ITGB1, GAD1, GNB5, PPP3CA, CABP1, SMARCA4, SNAP25 and GRIA1. Ontological and pathway analyses genes, including Online Mendelian Inheritance in Man (OMIM) and dbGaP databases were used for gold benchmark gene-disease associations to validate the significance of these putative target genes of AD progression.\n\nConclusionOur network-based methodologies have uncovered molecular pathways that may influence AD development, suggesting novel mechanisms that contribute to AD risk and which may form the basis of new therapeutic and diagnostic approaches.\n\nContactmohammad.moni@sydney.edu.au

molecular biology↗

bioRxiv2018

The role of glycaemic, lipid, blood pressure and obesity risk factors as mediators of the effect of height on Coronary Artery Disease and Type 2 Diabetes Mellitus: A Mendelian Randomisation Study.

We investigated by Mendelian Randomisation (MR) analyses the causal effect of adult height on coronary artery disease (CAD) (23,755 cases, 425,339 controls) and type 2 diabetes (T2D) (29,427 cases, 416,908 controls) in UK Biobank. We then examined whether such effects are mediated via known cardiometabolic risk factors including body mass index (BMI), glycaemic traits, lipid levels and blood pressure. We further cross-checked our findings by two-sample MR and Multivariate MR analyses with publicly available summary statistics data. One standard deviation (SD) higher genetically determined height (~6.5 cm) was causally associated with a 14% decrease in CAD risk (OR= 0.86, 95% CI= 0.790.94). This causal association remained significant after performing sensitivity analyses relaxing pleiotropy assumptions. The causal effect of height on CAD risk appeared to be independent of risk factors such as lipid levels, blood pressure and BMI; association was reduced by only 1-3% after adjustment for potential mediators. We observed no direct causal effect of height on T2D risk, once its effect on BMI was taken into account (OR= 0.99, 95% CI= 0.96-1.02), suggesting that BMI acts as a mediator.

genetics↗

bioRxiv2018

A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex

How the neocortex works is a mystery. In this paper we propose a novel framework for understanding its function. Grid cells are neurons in the entorhinal cortex that represent the location of an animal in its environment. Recent evidence suggests that grid cell-like neurons may also be present in the neocortex. We propose that grid cells exist throughout the neocortex, in every region and in every cortical column. They define a location-based framework for how the neocortex functions. Whereas grid cells in the entorhinal cortex represent the location of one thing, the body relative to its environment, we propose that cortical grid cells simultaneously represent the location of many things. Cortical columns in somatosensory cortex track the location of tactile features relative to the object being touched and cortical columns in visual cortex track the location of visual features relative to the object being viewed. We propose that mechanisms in the entorhinal cortex and hippocampus that evolved for learning the structure of environments are now used by the neocortex to learn the structure of objects. Having a representation of location in each cortical column suggests mechanisms for how the neocortex represents object compositionality and object behaviors. It leads to the hypothesis that every part of the neocortex learns complete models of objects and that there are many models of each object distributed throughout the neocortex. The similarity of circuitry observed in all cortical regions is strong evidence that even high-level cognitive tasks are learned and represented in a location-based framework.

neuroscience↗

bioRxiv2018

Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells

The neocortex is capable of anticipating the sensory results of movement but the neural mechanisms are poorly understood. In the entorhinal cortex, grid cells represent the location of an animal in its environment, and this location is updated through movement and path integration. In this paper, we propose that sensory neocortex incorporates movement using grid cell-like neurons that represent the location of sensors on an object. We describe a two-layer neural network model that uses cortical grid cells and path integration to robustly learn and recognize objects through movement and predict sensory stimuli after movement. A layer of cells consisting of several grid cell-like modules represents a location in the reference frame of a specific object. Another layer of cells which processes sensory input receives this location input as context and uses it to encode the sensory input in the objects reference frame. Sensory input causes the network to invoke previously learned locations that are consistent with the input, and motor input causes the network to update those locations. Simulations show that the model can learn hundreds of objects even when object features alone are insufficient for disambiguation. We discuss the relationship of the model to cortical circuitry and suggest that the reciprocal connections between layers 4 and 6 fit the requirements of the model. We propose that the subgranular layers of cortical columns employ grid cell-like mechanisms to represent object specific locations that are updated through movement.

neuroscience↗

bioRxiv2018

Genetic Determinants of Cortical Structure (Thickness, Surface Area and Volumes) among Disease Free Adults in the CHARGE Consortium

Cortical thickness, surface area and volumes (MRI cortical measures) vary with age and cognitive function, and in neurological and psychiatric diseases. We examined heritability, genetic correlations and genome-wide associations of cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprised 22,822 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the United Kingdom Biobank. Significant associations were replicated in the Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) consortium, and their biological implications explored using bioinformatic annotation and pathway analyses. We identified genetic heterogeneity between cortical measures and brain regions, and 161 genome-wide significant associations pointing to wnt/{beta}-catenin, TGF-{beta} and sonic hedgehog pathways. There was enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.

genetics↗

bioRxiv2018

Non-canonical role of E3 ligase RIPLET in innate immunity as a co-receptor for RIG-I

Ubiquitin (Ub) and its E3 ligases play diverse biological roles, from proteasomal degradation to innate immune signaling. The conventional view posits that E3 ligases function primarily through conjugating Ub to their substrate molecules. We report here that RIPLET, an essential E3 ligase in antiviral immunity, promotes the antiviral signaling activity of the viral RNA receptor RIG-I through both Ub-dependent and -independent manners. RIPLET utilizes its dimeric structure and the bivalent binding mode to preferentially recognize RIG-I preoligomerized on dsRNA. RIPLET can also adopt an alternative binding mode for filamentous oligomers of RIG-I assembled on longer dsRNAs, cross-bridging RIG-I filaments in both ubiquitin-dependent and-independent manners. The resultant receptor clustering leads to the formation of aggregate-like cytosolic granules and the stimulation of RIG-I-mediated antiviral signaling in a RNA-length dependent manner. These observations show the unexpected role of an E3 ligase as a co-receptor that directly participates in receptor oligomerization and ligand discrimination. This study also highlights previously unrecognized mechanisms by which an E3 ligase induces receptor clustering and signal amplification, and offers insights into the unique cellular function of membrane-less granule assembly.\n\nOne-sentence summaryRIPLET functions as a molecular glue to assemble signaling scaffolds for the antiviral innate immune receptor RIG-I.

immunology↗