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Martin, A.

Publications and source records attributed to Martin, A..

At least 163 records · Page 9Linked to original sources
bioRxiv2019

Ubiquitination modulates a protein energy landscape site-specifically with consequences for proteasomal degradation

Cellular environments modulate protein energy landscapes to drive important biology, where small perturbations are consequential for biological signaling, allostery, and other vital processes. The energetic effects of ubiquitination are interesting due to its potential influence on degradation by the 26S proteasome, which requires intrinsically flexible or unstructured initiation regions that many known proteasome substrates lack. We generated proteins with natively attached, isopeptide-linked ubiquitin in structured domains to assess the energetic changes contributed by ubiquitin and how such changes manifest at the proteasome. Ubiquitination at sensitive sites destabilizes the native structure, and thereby increases the rate of degradation for substrates containing unstructured initiation regions. Importantly, this ubiquitination can even induce those requisite regions in well-folded proteins for proteasomal engagement. Our results indicate a biophysical role of site-specific ubiquitination as a potential regulatory mechanism for energy-dependent substrate degradation.

biochemistry↗
bioRxiv2019

Molecular Atlas Of The Adult Mouse Brain

Brain maps are essential for integrating information and interpreting the structure-function relationship of circuits and behavior. We aimed to generate a systematic classification of the adult mouse brain organization based on unbiased extraction of spatially-defining features. Applying whole-brain spatial transcriptomics, we captured the gene expression signatures to define the spatial organization of molecularly discrete subregions. We found that the molecular code contained sufficiently detailed information to directly deduce the complex spatial organization of the brain. This unsupervised molecular classification revealed new area- and layer-specific subregions, for example in isocortex and hippocampus, and a new division of striatum. The whole-brain molecular atlas further supports the identification of the spatial origin of single neurons using their gene expression profile, and forms the foundation to define a minimal gene set - a brain palette - that is sufficient to spatially annotate the adult brain. In summary, we have established a new molecular atlas to formally define the identity of brain regions, and a molecular code for mapping and targeting of discrete neuroanatomical domains.

neuroscience↗
bioRxiv2019

Distinct neural mechanisms of social orienting and mentalizing revealed by independent measures of neural and eye movement typicality

Extensive study of typically developing individuals and those on the autism spectrum has identified a large number of brain regions associated with our ability to navigate the social world. Although it is widely appreciated that this so-called social brain is composed of distinct, interacting systems, these component parts have yet to be clearly elucidated. Here we used measures of eye movement and neural typicality - based on the degree to which subjects deviated from the norm - while typically developing (N = 62) and individuals with autism (N = 36) watched a large battery of movies depicting social interactions. Our findings provide clear evidence for distinct, but overlapping, neural systems underpinning two major components of the social brain, social orienting and inferring the mental state of others.

neuroscience↗
bioRxiv2019

Taste quality representation in the human brain

In the mammalian brain, the insula is the primary cortical substrate involved in the perception of taste. Recent imaging studies in rodents have identified a gustotopic organization in the insula, whereby distinct insula regions are selectively responsive to one of the five basic tastes. However, numerous studies in monkeys have reported that gustatory cortical neurons are broadly-tuned to multiple tastes, and tastes are not represented in discrete spatial locations. Neuroimaging studies in humans have thus far been unable to discern between these two models, though this may be due to the relatively low spatial resolution employed in taste studies to date. In the present study, we examined the spatial representation of taste within the human brain using ultra-high resolution functional magnetic resonance imaging (MRI) at high magnetic field strength (7-Tesla). During scanning, participants tasted sweet, salty, sour and tasteless liquids, delivered via a custom-built MRI-compatible tastant-delivery system. Our univariate analyses revealed that all tastes (vs. tasteless) activated primary taste cortex within the bilateral dorsal mid-insula, but no brain region exhibited a consistent preference for any individual taste. However, our multivariate searchlight analyses were able to reliably decode the identity of distinct tastes within those mid-insula regions, as well as brain regions involved in affect and reward, such as the striatum, orbitofrontal cortex, and amygdala. These results suggest that taste quality is not represented topographically, but by a combinatorial spatial code, both within primary taste cortex as well as regions involved in processing the hedonic and aversive properties of taste.

neuroscience↗
bioRxiv2019

Brain regions with positive and negative task-evoked responses engage in cooperative rather than competitive interactions

Brain regions displaying task-induced decreases in activity, sometimes referred to as \"Task-Negative\", have been proposed to reflect cortico-cortical competition from regions showing task-induced increases in activity, sometimes referred to as \"Task-Positive\". If these functional networks are competitive, trial-level fMRI BOLD responses across voxels exhibiting Positive and Negative responses should be anti-correlated. Additionally, the correlation between the BOLD response and behavior in Positive and Negative regions should have opposite sign. Here, we test these predictions using trial-to-trial variability in an object naming task. In contrast to the negative coupling proposed by a competition model, we find positive coupling between Positive and Negative regions and show that this coupling aligns with trial-level behavioral correlations. We provide evidence that these cooperative interactions are not due to a non-specific global factor and discuss alternative proposals, such as thalamo-cortical gating.\n\nHighlightsO_LITested competitive interactions among positive and negative task-evoked regions\nC_LIO_LIPositive and negative regions exhibited positive coupling at trial and run levels\nC_LIO_LISmaller competitive effects seen in BOLD-behavior correlations\nC_LIO_LIStrong cooperative effects not due to a non-specific common global factor\nC_LI\n\neTOCCsumitta et al. show that positive and negative BOLD responses do not exhibit cortical competition among corresponding brain regions. Rather, these networks display positive coupling. The spatial distribution of positive coupling aligned with behavioral correlations, suggesting normal, cooperative network interactions.

neuroscience↗
bioRxiv2019

Specific lid-base contacts in the 26S proteasome control the conformational switching required for substrate engagement and degradation

The 26S proteasome is essential for protein homeostasis and the regulation of vital cellular processes through ATP-dependent degradation of ubiquitinated substrates. To accomplish the multi-step reaction of protein degradation, the proteasomes regulatory particle, consisting of the lid and base subcomplexes, undergoes major conformational changes whose origin and control are largely unknown. Investigating the Saccharomyces cerevisiae 26S proteasome, we found that peripheral interactions between the lid subunit Rpn5 and the base AAA+ ATPase ring play critical roles in stabilizing the substrate-engagement-competent state and coordinating the conformational switch to processing states after a substrate has been engaged. Disrupting these interactions perturbs the conformational equilibrium and interferes with degradation initiation, while later steps of substrate processing remain unaffected. Similar defects in the early degradation steps are also observed when eliminating hydrolysis in the ATPase subunit Rpt6, whose nucleotide state seems to control conformational transitions of the proteasome. These results provide important insight into the network of interactions that coordinate conformational changes with various stages of proteasomal degradation, and how modulators of conformational equilibria may influence substrate turnover.

biochemistry↗
bioRxiv2019

A Spatiomolecular Map of the Striatum.

The striatum is organized into two major outputs formed by striatal projection neuron (SPN) subtypes with distinct molecular identities. In addition, the histochemical division into patch and matrix compartments represents an additional spatial organization, proposed to mirror a functional specialization in a motor-motivation dimension. To map the molecular diversity of SPNs in the context of the patch and matrix division, we genetically labeled mu-opioid receptor (Oprm1) expressing striatal neurons and performed single-nucleus RNA sequencing (snRNA-seq). This allowed us to establish new molecular definitions of the patch-matrix compartments, resulting in a molecular code for mapping patch SPNs at the cellular level. In addition, Oprm1 expression labeled exopatch SPNs, which we found to be molecularly distinct from both patch as well as neighboring matrix SPNs, thereby forming a separate molecular entity. At the cell-type level, we found an unexpected SPN diversity, leading to the identification of a new Col11a1+ striatonigral SPN type. At the tissue level, we found that mapping the spatial expression of a number of markers revealed new definitions of spatial domains in the striatum, which were conserved in the non-human primate brain. Interestingly, the spatial markers were cell-type independent and instead represented a spatial code that was found across all SPNs within a spatially restricted domain. This spatiomolecular map establishes a formal system for targeting and studying the striatal subregions and SPNs subtypes, beyond the classical striatonigral and striatopallidal division.

neuroscience↗
bioRxiv2019

Gephebase, a Database of Genotype-Phenotype Relationships for natural and domesticated variation in Eukaryotes

Gephebase is a manually-curated database compiling our accumulated knowledge of the genes and mutations that underlie natural, domesticated and experimental phenotypic variation in all Eukaryotes -- mostly animals, plants and yeasts. Gephebase aims to compile studies where the genotype-phenotype association (based on linkage mapping, association mapping or a candidate gene approach) is relatively well supported or understood. Human disease and aberrant mutant phenotypes in laboratory model organisms are not included in Gephebase and can be found in other databases (eg. OMIM, OMIA, Monarch Initiative). Gephebase contains more than 1700 entries. Each entry corresponds to an allelic difference at a given gene and its associated phenotypic change(s) between two species or between two individuals of the same species, and is enriched with molecular details, taxonomic information, and bibliographic information. Users can easily browse entries for their topic of interest and perform searches at various levels, whether phenotypic, genetic, taxonomic or bibliographic (eg. transposable elements, cis-regulatory mutations, snakes, carotenoid content, an author name). Data can be searched using keywords and boolean operators and is exportable in spreadsheet format. This database allows to perform meta-analysis to extract general information and global trends about evolution, genetics, and the field of evolutionary genetics itself. Gephebase should also help breeders, conservationists and others to identify the most promising target genes for traits of interest, with potential applications such as crop improvement, parasite and pest control, bioconservation, and genetic diagnostic. It is freely available at www.gephebase.org.

bioinformatics↗
bioRxiv2019

Characteristics of respiratory measures in young adults scanned at rest, including systematic changes and \"missed\" respiratory events

Breathing rate and depth influence the concentration of carbon dioxide in the blood, altering cerebral blood flow and thus functional magnetic resonance imaging (fMRI) signals. Such respiratory fluctuations can have substantial influence in studies of fMRI signal covariance in subjects at rest, the so-called \"resting state functional connectivity\" technique. If respiration is monitored during fMRI scanning, it is typically done using a belt about the subjects abdomen to record abdominal circumference. Several measures have been derived from these belt records, including the windowed envelope of the waveform (ENV), the windowed variance in the waveform (respiration variation, RV), and a measure of the amplitude of each breath divided by the cycle time of the breath (respiration volume per time, RVT). Any attempt to gauge respiratory contributions to fMRI signals requires a respiratory measure, but little is known about how these measures compare to each other, or how they perform beyond the small studies in which they were initially proposed. In this paper, we examine the properties of these measures in hundreds of healthy young adults scanned for an hour each at rest, a subset of the Human Connectome Project chosen for having high-quality physiological records. We find: 1) ENV, RV, and RVT are all similar, though ENV and RV are more similar to each other than to RVT; 2) respiratory events like deep breaths exhibit characteristic fMRI signal changes, head motions, and image quality abnormalities time-locked to deep breaths evident in the belt traces; 3) all measures can \"miss\" respiratory events evident in the belt traces; 4) RVT \"misses\" deep breaths (i.e., yawns and sighs) more than ENV or RV; 5) all respiratory measures change systematically over the course of a 14.4-minute scan, decreasing in mean value. We discuss the implication of these findings for the literature, and ways to move forward in modeling respiratory influences on fMRI scans.\n\nHighlights- Examines 3 respiratory measures in resting state fMRI scans of healthy young adults\n- All respiratory measures \"miss\" respiratory events, some more than others\n- Respiration volume per time (RVT) frequently \"misses\" deep breaths\n- All respiratory measures decrease systematically over 14.4 minute scans\n- Systematic decreases are due to decreased breathing depth and rate

neuroscience↗
bioRxiv2019

Distinctions among real and apparent respiratory motions in human fMRI data

Head motion estimates in functional magnetic resonance imaging (fMRI) scans appear qualitatively different with sub-second image sampling rates compared to the multi-second sampling rates common in the past. Whereas formerly the head appeared still for much of a scan with brief excursions from baseline, the head now appears to be in constant motion, and motion estimates often seem to divulge little information about what is happening in a scan. This constant motion has been attributed to respiratory oscillations that do not alias at faster sampling rates, and investigators are divided on the extent to which such motion is \"real\" motion or only \"apparent\" pseudomotion. Some investigators have abandoned the use of motion estimates entirely due to these considerations. Here we investigate the properties of motion in several fMRI datasets sampled at rates between 720-1160 ms, and describe 5 distinct kinds of respiratory motion: 1) constant real respiratory motion in the form of head nodding most evident in vertical position and pitch, which can be very large; 2) constant pseudomotion at the same respiratory rate as real motion, occurring only in the phase encode direction; 3) punctate real motions occurring at times of very deep breaths; 4) a low-frequency pseudomotion in only the phase encode direction following very deep breaths; 5) slow modulation of vertical and anterior-posterior head position by the respiratory envelope. We reformulate motion estimates in light of these considerations and obtain good concordance between motion estimates, physiologic records, image quality measures, and events evident in the fMRI signals.\n\nHighlights- Examines several fast-TR datasets with sampling rates of 720-1160 ms\n- Identifies 7 kinds of motion in fMRI scans, 5 of them related to respiration\n- Identifies 2 forms of pseudomotion occurring only in phase encode direction\n- Pseudomotion is a function of soft tissue mass, not lung volume\n- Reformulates motion estimates to draw out particular kinds of motion

neuroscience↗
bioRxiv2019

NRT2.1 phosphorylation prevents root high affinity nitrate uptake activity in Arabidopsis thaliana

In Arabidopsis thaliana, NRT2.1 codes for a main component of the root nitrate high-affinity transport system. Previous studies revealed that post-translational regulation of NRT2.1 plays an important role in the control of root nitrate uptake and that one mechanism could correspond to NRT2.1 C-terminus processing. To further investigate this hypothesis, we produced transgenic plants with truncated forms of NRT2.1. It revealed an essential sequence for NRT2.1 activity, located between the residues 494-513. Using a phospho-proteomic approach, we found that this sequence contains one phosphorylation site, at serine 501, which can inactivate NRT2.1 function when mimicking the constitutive phosphorylation of this residue in transgenic plants. This phenotype could neither be explained by changes in abundance of NRT2.1 and NAR2.1, a partner protein of NRT2.1, nor by a lack of interaction between these two proteins. Finally, the relative level of serine 501 phosphorylation was found to be modulated by nitrate in wildtype plants. Altogether, these observations allowed us to propose a model for a new and essential mechanism for the regulation of NRT2.1 activity.

plant biology↗
bioRxiv2019

Perinatal Programming of Mucosal Stromal Cell Identity by the Lymphotoxin Pathway Regulates Mucosal Immune Responses in the Adult

Redundant mechanisms support IgA responses to intestinal antigens. These include multiple priming sites (mesenteric lymph nodes (MLN), Peyers patches and isolated lymphoid follicles) and various cytokines that promote class switch to IgA, even in the absence of T cells. In spite of these back-up mechanisms, vaccination against enteric pathogens such as Rotavirus has limited success in some populations. Genetic and environmental signals experienced during early life are known to influence mucosal immunity, yet the mechanisms for how these exposures operate remain unclear. Here we used Rotavirus infection to follow antigen-specific IgA responses through time and in different gut compartments. Using genetic and pharmacological approaches, we tested the role of a pathway known to support IgA responses (Lymphotoxin - LT) at different developmental stages. We found that LT-beta receptor (LT{beta}R) signalling in utero programs intestinal IgA responses in adulthood by affecting antibody class switch recombination to IgA and subsequent generation of IgA antibody-secreting cells within an intact MLN. In addition, in utero LT{beta}R signalling dictates the phenotype and function of MLN stromal cells in order to support IgA responses in the adult. Collectively, our studies uncover new mechanistic insights into how in utero LT{beta}R signalling impacts mucosal immune responses during adulthood. One Sentence SummaryEarly life LT{beta}R signalling is critical for programming the mesenteric lymph node stromal cell environment, impacting both antibody isotype switching to IgA and the differentiation of IgA+ antibody secreting cells. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=190 HEIGHT=200 SRC="FIGDIR/small/557652v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@4780dborg.highwire.dtl.DTLVardef@5cbe85org.highwire.dtl.DTLVardef@e0465eorg.highwire.dtl.DTLVardef@2bcae6_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗
bioRxiv2019

Microtubules stabilize intercellular contractile force transmission during tissue folding

During development, forces transmitted between cells are critical for sculpting epithelial tissues. Actomyosin contractility in the middle of the cell apex (medioapical) can change cell shape (e.g., apical constriction), but can also result in force transmission between cells via attachments to adherens junctions. How actomyosin networks maintain attachments to adherens junctions under tension is poorly understood. Here, we discovered that microtubules stabilize actomyosin intercellular attachments in epithelia during Drosophila mesoderm invagination. First, we used live imaging to show a novel arrangement of the microtubule cytoskeleton during apical constriction: medioapical, non-centrosomal Patronin (CAMSAP) foci formed by actomyosin contraction organizes an apical microtubule network. Microtubules were required for mesoderm invagination but were not necessary for apical contractility or adherens junction assembly. Instead, microtubules promoted the stable connection between medioapical actomyosin and adherens junctions. These results define a role for coordination between actin and microtubule cytoskeletal systems in intercellular force transmission and tissue morphogenesis.

developmental biology↗
bioRxiv2019

Meta-analysis identifies microbial signatures of disease in murine models of inflammatory bowel disease

The gut microbiota plays a central role in modulating intestinal inflammation, but the identification of specific inflammation-associated microbes has remained elusive. Here, we perform a meta-analysis on metagenomic data from 12 different studies of murine colitis triggered by a variety of genetic and environmental factors with the goal of finding bacterial taxonomic groups that can act as signatures of health or disease across studies, and that can be used to discriminate between healthy and diseased mice. We leveraged recent developments in 16S analysis tools to identify amplicon sequence variants (ASVs) instead of the traditional Operational Taxonomic Units, and used the EZTaxon reference database that distinguishes between currently unnamed and uncharacterized 16S phylotypes. Random Forest model and differential abundance analysis were used to detect microbial signatures that could consistently differentiate healthy from diseased mice, and a dysbiosis index was constructed from these. This dysbiosis index was able to correctly distinguish samples derived from inflamed and non-inflamed mice in the majority of studies and significantly outperformed other frequently used metrics of dysbiosis including alpha-diversity, proteobacterial abundance, and the ratio of Bacteroidetes to Firmicutes. 10 of 12 bacteria we identify as associated with the diseased state are members of the order Bacteroidales, including several species from the abundant but poorly understood S24-7 family. The implications of these findings are discussed.

microbiology↗
bioRxiv2018

HNI9 and HY5 maintain ROS homeostasis under high nitrogen provision in Arabidopsis

One sentence summaryExcessive N nutrition leads to ROS accumulation, and requires the function of major transcriptional regulators to maintain plants under physiological conditions.\n\nAuthor contributionsAn.M. and A.G. conceived research plans and supervised the experiments; F.B, Am.M., J.B., L.L., L.B. and An.M performed most of the experiments; F.B, Am.M., J.B., G.K., L.L., L.B. and An.M analyzed the data; An.M. wrote the article with contributions of all the authors.\n\nCompeting interestsThe authors declare no competing financial interests.\n\nSummaryReactive Oxygen Species (ROS) can accumulate in cells at excessive levels, leading to unbalanced redox status and to a potential oxidative stress, which can have damaging effects to the molecular components of plant cells. Several environmental conditions have been described as causing an elevation of ROS production in plants. Consequently, this requires the expression of detoxification responses in order to maintain ROS homeostasis at physiological levels. In case of mis-regulation of the detoxification systems, oxidative stress can lead ultimately to growth retardation and developmental defects. Here, we demonstrate that Arabidopsis plants growing under high nitrogen environment have to express a set of genes involved in detoxification of ROS in order to maintain ROS at physiological levels. We show that the chromatin factor HNI9 is an important actor of this response, required for the expression of these detoxification genes. Mutation in HNI9 leads to elevated ROS levels, and to ROS-dependent phenotypic defects under high but not low N provision. In addition, we identify HY5 as one of the major transcription factors also required for the expression of this detoxification program under high N condition. Our results demonstrate the requirement of a balance between N nutrition and ROS production, and identified the first major regulators required to control ROS homeostasis under excessive N nutrition.

plant biology↗
bioRxiv2018

Comparative genetic architectures of schizophrenia in East Asian and European populations

Author summarySchizophrenia is a severe psychiatric disorder with a lifetime risk of about 1% world-wide. Most large schizophrenia genetic studies have studied people of primarily European ancestry, potentially missing important biological insights. Here we present a study of East Asian participants (22,778 schizophrenia cases and 35,362 controls), identifying 21 genome-wide significant schizophrenia associations in 19 genetic loci. Over the genome, the common genetic variants that confer risk for schizophrenia have highly similar effects in those of East Asian and European ancestry (rg=0.98), indicating for the first time that the genetic basis of schizophrenia and its biology are broadly shared across these world populations. A fixed-effect meta-analysis including individuals from East Asian and European ancestries revealed 208 genome-wide significant schizophrenia associations in 176 genetic loci (53 novel). Trans-ancestry fine-mapping more precisely isolated schizophrenia causal alleles in 70% of these loci. Despite consistent genetic effects across populations, polygenic risk models trained in one population have reduced performance in the other, highlighting the importance of including all major ancestral groups with sufficient sample size to ensure the findings have maximum relevance for all populations.

genetics↗
bioRxiv2018

Structures of the substrate-engaged 26S proteasome reveal the mechanisms for ATP hydrolysis-driven translocation

The 26S proteasome is the primary eukaryotic degradation machine and thus critically involved in numerous cellular processes. The hetero-hexameric ATPase motor of the proteasome unfolds and translocates targeted protein substrates into the open gate of a proteolytic core, while a proteasomal deubiquitinase concomitantly removes substrate-attached ubiquitin chains. However, the mechanisms by which ATP hydrolysis drives the conformational changes responsible for these processes have remained elusive. Here we present the cryo-EM structures of four distinct conformational states of the actively ATP-hydrolyzing, substrate-engaged 26S proteasome. These structures reveal how mechanical substrate translocation accelerates deubiquitination, and how ATP-binding, hydrolysis, and phosphate-release events are coordinated within the AAA+ motor to induce conformational changes and propel the substrate through the central pore.

molecular biology↗
bioRxiv2018

Multifaceted integration - memory for faces is subserved by widespread connections between visual, memory, social and auditory networks

Face memory abilities are at the core of human social interaction, yet these vary widely within the general population, ranging from developmental prosopagnosia to \"super-recognizers\". Previous work has focused mainly on the contribution of the well described face network to this variance. However, given the nature of the face memory task, and the social context in which it takes place, we were interested in exploring how the collaboration between different networks outside the face network (measured through resting state connectivity) affects performance on face memory tasks. We discovered that face recognition memory is supported by a wide network of connections between the face patches, memory regions, auditory regions and social networks. Moreover, this network was selective for memory for faces, and did not predict memory for other visual objects, such as cars.

neuroscience↗