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Long, R.

Publications and source records attributed to Long, R..

16 recordsLinked to original sources

The ENIGMA-PD-WML Pipeline: A Containerized, User-Friendly Approach for Accurate, Standardized Segmentation of White Matter Lesions in Multi-Site MRI Data

Understanding vascular contributions to disease is a major unmet need. White matter lesions (WML) are an accepted imaging marker of cerebral small vessel disease, giving insights into its related pathologies. A unified approach for WML analyses in large multi-site data is lacking despite the need for pooling of data to overcome the limitations of often small heterogenous MRI studies which make subtyping and identifying patterns within disease groups difficult. Our ENIGMA-PD-WML pipeline is an open-source containerized pipeline containing all the code and packages required for pre-processing, processing and post-processing of T1-weighted and FLAIR data, outputting accurate and reproducible binary WML maps using a UNet approach. The pipeline provides a standardized image analysis approach for WML and outputs data in both native and MNI space to allow for sharing and pooling of data from multiple sites for large-data analysis. In addition to a reliable standardized approach for WML segmentation, key priorities when developing the pipeline included: usability, i.e., requiring minimal manual input and technical expertise to use, and suitability to run on various MRI scanners and acquisition parameters as is common in multi-site data. This paper describes the pipeline in detail, with rationale for each step, providing transparency and facilitating its usage to overcome reproducibility issues in large-scale WML analyses.

neuroscience↗

Basal gland localization and focal distribution of OLFM4-expressing cells in increasing severity of gastric intestinal metaplasia

Patients with gastric intestinal metaplasia (GIM), a precancerous lesion, are at high risk for progressing to gastric cancer. Identifying these patients is critical to enable gastric cancer interception. Current approaches rely primarily on histologic evaluation of GIM severity and extent, which may be improved by incorporating molecular features that distinguish high-risk lesions. Our prior single-cell and spatial transcriptomics study identified differentially expressed genes associated with the highest-risk category of GIM. They included ANPEP expressed in enterocytes and CPS1 and OLFM4 expressed in intestinal stem-like or progenitor cells. We evaluated the protein expression and localization of these three markers to understand the cellular features associated with GIM risk and their spatial distribution within metaplastic tissues. Using multiplex immunofluorescence, whole slide image analysis and confocal microscopy, we examined protein expression from 100 tissue biopsies annotated for metaplasia severity using the Operative Link on Gastric Intestinal Metaplasia Assessment (OLGIM) system. Tissue samples included control gastric tissue, GIM, dysplasia and adenocarcinoma. Quantitative whole slide image analysis demonstrated that CPS1 expression had a modest association with disease severity. Although ANPEP was strongly associated with GIM severity, it was also frequently expressed in stromal regions outside epithelial glands. In contrast, OLFM4 expression was largely restricted to epithelial glands and showed a strong association with increased OLGIM severity. These OLFM4-positive epithelial cells were present in discrete glandular foci that expanded with increasing severity of metaplasia. Within individual metaplastic glands, OLFM4 expression was highest at the gland base with decreased expression toward the gland surface. Overall, these findings identified OLFM4 as a protein marker associated with high-risk GIM. The spatial organization of OLFM4-expressing cells at the base of metaplastic glands and their focal expansion within tissues suggest the presence of a stem cell-like epithelial compartment that may contribute to the progression of GIM towards gastric cancer.

cancer biology↗

Foraging ecology drives viral community structure in New Zealand's aquatic birds

Wild migratory birds play a major role in the global spread of viruses, yet the diversity, host range and transmission patterns of viruses harboured by migratory species in Aotearoa/New Zealand remain largely unknown. This knowledge gap is critical given New Zealands position along major migratory flyways spanning Oceania, Antarctica and east Asia, where understanding viral diversity is key to assessing the risk of viral introductions such as highly pathogenic avian influenza virus and viral dispersal across these regions. To address this, we conducted the first large-scale metatranscriptomic survey of wild birds from New Zealand and its subantarctic islands, collecting 1,348 samples from 31 host species spanning four avian orders. We identified 118 avian viruses from 17 families, including 107 novel species, greatly expanding our knowledge of avian viral diversity. Viral communities differed significantly by host order and foraging behaviour, with scavenger birds harbouring more diverse viromes than non-scavengers. Although no HPAI subtypes were detected, we recovered a low-pathogenic avian influenza A/H1N9 virus from red knots (Calidris canutus) and a divergent tobanivirus from Auckland Island teal (Anas aucklandica), the first putative avian member of the Tobaniviridae. Notably, we detected 12 mammalian-associated viruses, primarily in scavenger birds, including Hedgehog hepatovirus, Rabbit haemorrhagic disease virus 2, and sea lion astroviruses, with mammalian host reads confirming their dietary origin. This study establishes the first virome baseline for New Zealands migratory birds, highlighting the ecological role of foraging in shaping viral communities and improving regional preparedness for HPAI and other emerging avian pathogens.

microbiology↗

Dentate spikes comprise a continuum of relative input strength from the lateral and medial entorhinal cortex.

Hippocampal dentate spikes (DS) are synchronous population events generated in the dentate gyrus thought to support memory processing. DS are classified into type 1 (DS1) and type 2 (DS2) based on current sinks in the outer or middle molecular layer, where the axons of the lateral or medial entorhinal cortex terminate, respectively. This widely used classification method constrains DS into a bimodal distribution without properly testing whether such constraint is appropriate. Here we utilized silicon probe recordings with high spatial resolution spanning all layers of the dentate gyrus and discovered that the contribution of LEC/MEC inputs to DS follows a continuous distribution. We introduce a third type (DS3) that captures a previously unreported component of the distribution: simultaneous current sinks in the outer/middle molecular layer, suggestive of synchronized activation from the LEC/MEC which could facilitate binding. We verify DS3 in several data sets from independent laboratories and characterize their brain state dependence and neural recruitment.

neuroscience↗

Macrophages display spatiotemporal specificity in intrahepatic cholangiocarcinoma and drive tumour progression via OSM and THBS1

Tumor-associated macrophages (TAMs) are abundant in intrahepatic cholangiocarcinoma (ICC) and correlate with poor prognosis, but their non-immunosuppressive roles remain unclear. This study aimed to define TAM transcriptional heterogeneity and map their interactions with ICC cells that promote malignancy beyond immune suppression. Single-cell and spatial transcriptome analysis with mouse and human ICC tissues revealed a TAM subpopulation, designated M{varphi}_VEGFA, that emerged as the major macrophage population from the intermediate stage of ICC development onward. Data from Gene Expression Omnibus (GEO) and spatial transcriptome indicate that M{varphi}_VEGFA was associated with poor prognosis and spatially localized to the ICC cells. Cell co-culture and cell-cell communication analyses revealed that M{varphi}_VEGFA promoted ICC cell proliferation via secreted OSM and downstream OSMR-STAT3-CCND1 axis, and enhanced ICC cell invasion through THBS1 and downstream CD47-mTOR/DBN1 signaling. Critically, multiplex immunofluorescence with human ICC tissue microarray indicated that OSM and THBS1 were co-elevated in human ICCs, and dual blockade of both targets inhibited ICC progression in mouse models. This study uncovers the direct and critical roles of M{varphi}_VEGFA in driving ICC progression with paracrine signaling and further highlights the potential of targeting macrophages in ICC treatment.

cancer biology↗

Febrile temperature enhances Plasmodium falciparum cytoadhesion by disrupting the endothelial glycocalyx

Fever, a universal host defense response in infection and inflammation, paradoxically contributes to neurological complications in malaria. Febrile temperatures are known to enhance parasite virulence protein expression, but direct effects on the human endothelium remain unknown. We found that a 1-hour exposure to 40 {degrees}C, representative of fever in children with cerebral malaria, increased adhesion of Plasmodium falciparum-infected red blood cells and neutrophils to 3D brain microvascular models displaying a wide wall shear stress gradient. Mechanistically, this brief hyperthermia triggered rapid endothelial glycocalyx shedding, exposing endothelial receptors for binding. This response was more pronounced in brain than in pulmonary microvessels, revealing a greater vulnerability of the cerebral vasculature to fever. Pharmacological inhibition of matrix metalloproteinase activity preserved glycocalyx integrity and abolished the temperature-induced increase in adhesion. These findings identify fever as a host-specific amplifier of malaria-associated microvascular pathology, highlighting the importance of antipyretic strategies to mitigate disease severity.

microbiology↗

Tulp3 quantitative alleles titrate requirements for viability, brain development, and kidney homeostasis but do not suppress Zfp423 mutations in mice.

Tubby-like protein 3 (TULP3) regulates receptor trafficking in primary cilia and antagonizes SHH signaling. Tulp3 knockout mice are embryonic lethal with developmental abnormalities in multiple organs, while tissue-specific knockouts and viable missense alleles cause polycystic kidney disease. Human patients with TULP3 mutations present with variable, but often multi-organ fibrotic disease. We previously showed that mouse and human Tulp3 expression is negatively regulated by ZNF423, which is required for SHH sensitivity in some progenitor cell models. The level of TULP3 function required to prevent mutant phenotypes has not been known. Here we report a Tulp3 quantitative allelic series, designed by targeting the polypyrimidine tract 5 to the splice acceptor of a critical exon, that shows distinct dose-response effects on viability, brain overgrowth, weight gain, and cystic kidney disease. We find limited evidence for genetic interaction with Zfp423 null or hypomorphic mutations. Together, these results establish an approach to developing quantitative allelic series by exon exclusion, rank-order dose-sensitivity of Tulp3 phenotypes, and model thresholds for TULP3 function to prevent severe outcomes. Author SummaryTULP3 protein plays critical roles in regulating receptor trafficking and signaling in the primary cilium. Mutations in the TULP3 gene can cause severe, multi-organ disorders in both mice and humans, yet the amount of TULP3 activity needed to avoid these outcomes has been unclear. In this study, we used precise genome editing in mice to create a set of new Tulp3 gene variants that reduce TULP3 expression to varying degrees. This allowed us to test how much TULP3 is required for survival, normal brain and kidney development, and weight regulation. We found that as little as 5% of normal TULP3 levels is enough to avoid lethal birth defects, but still leads to obesity, mild brain overgrowth, and progressive kidney cysts preceded by reductions in cilium frequency and length in situ. The severity of these effects was related to TULP3 protein levels, highlighting a dose-dependent response. We also investigated whether reducing TULP3 levels would suppress brain abnormalities in Zfp423 mutant mice, based on prior evidence of a genetic interaction, but did not find evidence to support this effect. Our work provides a framework for understanding how varying levels of TULP3 affect various organ systems and offers a general strategy for creating quantitative genetic models of human disease.

genetics↗

Interaction between time-of-day and oxytocin efficacy in mice and humans with and without gestational diabetes

Management of labor in women with diabetes is challenging due to the high risk of peri- and postpartum complications. To avoid cesarean section and assist with labor progression, Pitocin, a synthetic oxytocin, is frequently used to induce and augment labor. However, the efficacy of Pitocin is often compromised in diabetic pregnancies, leading to increased cesarian delivery. As diabetes deregulates the bodys circadian timekeeping system and the time-of-day of the first Pitocin administration contributes to labor duration, our objective was to determine how the time of day and the circadian clock gene, Bmal1, gates oxytocin efficacy. Our studies in mice show that, compared to the rest phase of the day (lights on), the uterotonic efficacy of oxytocin is significantly increased during the active phase (lights off). Using in vitro studies, a myometrium-specific Bmal1 conditional knockout mouse model, and a mouse model of food-induced gestational diabetes, we find that Bmal1 is crucial for maintaining oxytocin receptor expression and response in the myometrium in mice. These findings also translate to humans, where oxytocin-induced human myometrial cell contraction is time-of-day dependent, and retrospective clinical data suggest that administration of Pitocin in the morning should be considered for pregnant women with gestational diabetes.

physiology↗

Accumulation of Dietary and Non-Enzymatic Oxysterols in Preeclamptic Placentas: Insights into Cholesterol Dynamics in Pregnancy Complications

Oxysterols--oxidized derivatives of cholesterol--play key roles in regulating lipid metabolism, oxidative stress, and immune signaling. Despite their biological importance, their presence and function in human placental tissue remain poorly understood, particularly in pregnancy complications such as preeclampsia. Preeclampsia is a hypertensive disorder of pregnancy associated with oxidative stress and altered lipid homeostasis. This study profiled both dietary and non-enzymatic oxysterols in third-trimester human placentas from healthy term pregnancies and those complicated with preeclampsia, delivered at term or preterm and term. Findings indicate significantly higher oxysterol levels in preeclamptic placentas, particularly for 7-ketcholesterol (7-Keto) and 5,6{beta}-cholestanetriol, (Triol) regardless of gestational age. 5{beta},6{beta}-epoxycholesterol (OCallaghan, Woods, & OBrien, 2001) was higher in term preeclampsia, while total cholesterol levels were significantly lower in preeclamptic placentas. Correlation analyses revealed distinct associations between oxysterols, cholesterol, and total fat content, indicating unique oxidative signatures in preeclamptic pregnancies. These findings contribute to a growing body of evidence suggesting that altered oxysterol profiles may reflect oxidative stress and placental dysfunction. While causality cannot be inferred, oxysterol profiling may hold potential as a complementary biomarker strategy for identifying pregnancies at risk of adverse outcomes.

physiology↗

siRNADesign: A Graph Neural Network for siRNA Efficacy Prediction via Deep RNA Sequence Analysis

The clinical adoption of small interfering RNAs (siRNAs) has prompted the development of various computational strategies for siRNA design, from traditional data analysis to advanced machine learning techniques. However, previous studies have inadequately considered the full complexity of the siRNA silencing mechanism, neglecting critical elements such as siRNA positioning on mRNA, RNA base-pairing probabilities, and RNA-AGO2 interactions, thereby limiting the insight and accuracy of existing models. Here, we introduce siRNADesign, a Graph Neural Network (GNN) framework that leverages both non-empirical and empirical rules-based features of siRNA and mRNA to effectively capture the complex dynamics of gene silencing. In multiple internal datasets, siRNADesign achieves state-of-the-art performance. Significantly, siRNADesign also outperforms existing methodologies in in vitro wet lab experiments and an externally validated dataset. Additionally, we develop a new data-splitting methodology that addresses the data leakage issue, a frequently overlooked issue in previous studies, ensuring the robustness and stability of our model under various experimental settings. Through rigorous testing, siRNADesign has demonstrated remarkable predictive accuracy and robustness, making significant contributions to the field of gene silencing. Furthermore, our approach in redefining data-splitting standards aims to set new benchmarks for future research in the domain of predictive biological modeling for siRNA.

bioinformatics↗

Massive expansion of the pig gut virome based on global metagenomic mining

The pig gut virome plays a crucial role in the gut microbial ecosystem of pigs, yet a comprehensive reference database is still lacking. To address this gap, we established the Pig Virome Database (PVD) of the gut that comprises 5,566,804 viral contig sequences from 4,650 publicly available gut metagenomic samples using a pipeline named "metav" developed in this study. The majority of viral operational taxonomic units (vOTUs) were identified as Caudoviricetes (65.36%). By clustering sequences, we identified 48,299 vOTU genomes, of which 92.83% were not found in existing major databases. The PVD database contains a total of 18,161,503 protein-coding genes that can be used to explore the functional potential of the pig gut virome. Our study showed that the PVD can improve the detection of viruses that carry antibiotic/metal resistance genes, mobile genetic elements, virulence factor genes, and quorum sensing systems. These findings highlight the extensive diversity of viruses in the pig gut and provide detailed insight into host-virus interactions.

microbiology↗

The generation of the first chromosome-level de-novo genome assembly and the development and validation of a 50K SNP array for North American Atlantic salmon

Given the genetic and genomic differences between Atlantic salmon of European origin and North American (N.A.) origin, it is crucial to develop unique genomic resources for each lineage. Here we describe the resources that we recently developed for genomic and genetic research in N.A. Atlantic salmon. Firstly, a new single nucleotide polymorphism (SNP) database for N.A. Atlantic salmon consisting of 3.1 million putative SNPs was generated using data from whole genome resequencing of 80 N.A. Atlantic salmon individuals; Secondly, a high density 50K SNP array enriched for the genic regions of the genome and containing three sex determination and 61 continent of origin markers was developed and validated; Thirdly, a genetic map composed of 27 linkage groups with 36K SNP markers, was generated from 2,512 individuals in 141 full-sib families; Finally, a chromosome level de-novo assembly of a male N.A. Atlantic salmon genome was generated using PacBio long-reads. Information from Hi-C proximity ligation sequences and Bionano optical mapping was used to concatenate the contigs into scaffolds. The assembly contains 1,755 scaffolds and only 1,253 gaps, with a total length of 2.83 Gb and N50 of 17.2 Mb. A BUSCO analysis detected 96.2% of conserved Actinopterygii genes in the assembly and the genetic linkage information was used to guide the formation of 27 chromosome sequences. In contrast, the karyotype of the European Atlantic salmon lineage is composed of 29 chromosomes. Comparative analysis with the reference genome assembly of the European Atlantic salmon confirmed that the karyotype differences between the two linages are caused by a fission in chromosome Ssa01 and three chromosome fusions including the p arm of chromosome Ssa01 with Ssa23, Ssa08 with Ssa29 and Ssa26 with Ssa28. The genomic resources we have generated for Atlantic salmon provide a crucial boost for genetic research and for management of farmed and wild populations in this highly valued species.

genomics↗

Whole-Genome Sequencing on 220 Alfalfa (Medicago sativa L.) Accessions Identified Association of DREB1C Gene with Fall Dormancy Height

Fall dormancy (FD) is one of the most important traits of alfalfa (Medicago sativa) for cultivar selection to overcome winter stress. Although transcriptomics, proteomics analysis, and QTL mapping have revealed some important genes correlated with FD, the genetic architecture of this trait is still unclear. There are no applicable genes or markers for selection, which hinders progress in the genetic research and molecular breeding for the trait. We conducted whole-genome sequencing (WGS) on 220 alfalfa accessions at 10x depth. Among the 875,023 SNPs, four of them were associated with FD height using GWAS. One SNP located on chromosome 6 is in linkage disequilibrium with dehydration-responsive element-binding protein 1C (DREB1C). Furthermore, seven DREB genes are clustered in this region, one of which has previously been shown to enhance freezing tolerance in the model plant Medicago truncatula. The candidate genes uncovered by our research will benefit the transgenic and CRISPR-Cas9 research of FD in alfalfa. This gene will also be useful for molecular marker development and marker-associated breeding of FD for alfalfa.

genomics↗

Assembly of chromosome-scale and allele-aware autotetraploid genome of the Chinese alfalfa cultivar Zhongmu-4 and identification of SNP loci associated with 27 agronomic traits

Alfalfa (Medicago sativa L.), the most valuable perennial legume crop, referred to as "Queen of the Forages" for its high nutritional value and yield production among forage crops. Comprehensive genomic information of germplasm resources from different ecological regions and modern breeding strategies, such as molecular-marker assisted breeding are of great importance to breed new alfalfa varieties with environmental resilience. Here, we report assembly of the genome sequence of Zhongmu-4 (ZM-4), one of the most planted cultivars in China, and identification of SNPs associated with alfalfa agronomic traits by Genome-wide Association Studies (GWAS). Sequence of 32 allelic chromosomes was assembled successfully by single molecule real time sequencing and Hi-C technique with ALLHiC algorithm. About 2.74 Gbp contigs, accounting for 88.39% of the estimated genome, were assembled with 2.56 Gbp contigs anchored to 32 pseudo-chromosomes. In comparison with M. truncatula A17, distinctive inversion and translocation on chromosome 1, and between chromosome 4 and 8, respectively, were detected. Moreover, we conducted resequencing of 220 alfalfa accessions collected globally and performed GWAS analysis based on our assembled genome. Population structure analysis demonstrated that alfalfa has a complex genetic relationship among germplasm with different geographic origins. GWAS identified 101 SNPs associated with 27 out of 93 agronomic traits. The updated chromosome-scale and allele-aware genome sequence, coupled with the resequencing data of most global alfalfa germplasm, provides valuable information for alfalfa genetic research, and further analysis of major SNP loci will accelerate unravelling the molecular basis of important agronomic traits and facilitate genetic improvement of alfalfa.

plant biology↗

A valid protective immune response elicited in rhesus macaques by an inactivated vaccine is capable of defending against SARS-CoV-2 infection

With the relatively serious global epidemic outbreak of SARS-CoV-2 infection, public concerns focus on not only clinical therapeutic measures and public quarantine for this disease but also the development of vaccines. The technical design of our SARS-CoV-2 inactivated vaccine provides a viral antigen that enables the exposure of more than one structural protein based upon the antibody composition of COVID-19 patients convalescent serum. This design led to valid immunity with increasing neutralizing antibody titers and a CTL response detected post-immunization of this vaccine by two injections in rhesus macaques. Further, this elicited immunoprotection in macaques enables not only to restrain completely viral replication in tissues of immunized animals, compared to the adjuvant control and those immunized by an RBD peptide vaccine, but also to significantly alleviate inflammatory lesion in lung tissues in histo-pathologic detection, compared to the adjuvant control with developed interstitial pneumonia. The data obtained from these macaques immunized with the inactivated vaccine or RBD peptide vaccine suggest that immunity with a clinically protective effect against SARS-CoV-2 infection should include not only specific neutralizing antibodies but also specific CTL responses against at least the S and N antigens.

immunology↗

Pdgfra and Pdgfrb genetically interact in the murine neural crest cell lineage to regulate migration and proliferation

Cranial neural crest cells (cNCCs) are migratory, multipotent cells that originate from the forebrain to the hindbrain and eventually give rise to the bone and cartilage of the frontonasal skeleton, among other derivatives. Signaling through the two members of the platelet-derived growth factor receptor (PDGFR) family of receptor tyrosine kinases, alpha and beta, plays critical roles in the cNCC lineage to regulate craniofacial development during murine embryogenesis. Further, the PDGFRs have been shown to genetically interact during murine craniofacial development at mid-to-late gestation. Here, we examined the effect of ablating both Pdgfra and Pdgfrb in the murine NCC lineage on earlier craniofacial development and determined the cellular mechanisms by which the observed phenotypes arose. Our results confirm a genetic interaction between the two receptors in this lineage, as phenotypes observed in an allelic series of mutant embryos often worsened with the addition of conditional alleles. The defects observed here were shown to stem from reduced cNCC stream size and aberrant cNCC directional migration, as well as decreased proliferation of the facial mesenchyme upon combined decreases in PDGFR and PDGFR{beta} signaling. Importantly, we found that PDGFR plays a predominant role in cNCC migration whereas PDGFR{beta} primarily contributes to proliferation of the facial mesenchyme. Our findings provide insight into the distinct mechanisms by which PDGFR and PDGFR{beta} signaling regulate cNCC activity and subsequent craniofacial development in the mouse embryo.

developmental biology↗