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Li, A.

Publications and source records attributed to Li, A..

At least 145 records · Page 8Linked to original sources

HER2 Prognostic Significance and Therapeutic Implications in Gastric Cardia Adenocarcinoma: Insights from Multi-Omics Profiling

Therapeutic targets for Gastric Cardia Adenocarcinoma (GCA), particularly for HER2- negative patients, are lacking. Here, we conducted multi-omics profiling on 128 GCA patients using mass spectrometry, whole-exome sequencing, RNA-Seq, and metabolomics. We found HER2 to be a favorable prognostic marker for GCA. Employing molecular counting, we categorized patients into HER2-high, -low, and -negative groups. We uncovered an enrichment of DNA repair features in the HER2-high group, while HER2-low and -negative groups exhibited strong inflammation. We found that tumor mutation burden may not be the distinguishing factor among these three groups. We revealed that the HER2-negative and -low groups have a tumor-suppressive immune microenvironment, and HER2 expression is associated with fatty acid metabolic profiles and inflammation in the blood of patients. Our study revealed anti-inflammatory and immune checkpoint inhibition, targeting PD-L2 and the CD47/SIRPA pair, as therapeutic strategies for HER2-negative GCA patients. These findings highlight promising avenues for personalized treatment for GCA.

cancer biology↗

Common methods of making giant vesicles (except emulsion techniques) capture intended lipid ratios

Researchers choose different methods of making giant unilamellar vesicles in order to satisfy different constraints of their experimental designs. A challenge of using a variety of methods is that each may produce vesicles of different lipid compositions, even if all vesicles are made from a common stock mixture. Here, we use mass spectrometry to investigate ratios of lipids in vesicles made by five common methods: electroformation on indium tin oxide slides, electroformation on platinum wires, gentle hydration, emulsion transfer, and extrusion. We made vesicles from either 5-component or binary mixtures of lipids chosen to span a wide range of physical properties: di(18:1)PC, di(16:0)PC, di(18:1)PG, di(12:0)PE, and cholesterol. For a mixture of all five of these lipids, ITO electroformation, Pt electroformation, gentle hydration, and extrusion methods result in only minor shifts ([≤] 5 mol%) in lipid ratios of vesicles relative to a common stock solution. In contrast, emulsion transfer results in [~]80% less cholesterol than expected from the stock solution, which is counterbalanced by a surprising overabundance of saturated PC-lipid relative to all other phospholipids. Experiments using binary mixtures of some of the lipids largely support results from the 5-component mixture. Exact values of lipid ratios variations likely depend on the details of each method, so a broader conclusion is that experiments that increment lipid ratios in small steps will be highly sensitive to the method of lipid formation and to sample-to-sample variations, which are low (roughly {+/-}2 mol% in the 5-component mixture and either scale proportionally with increasing mole fraction or remain low). Experiments that increment lipid ratios in larger steps or that seek to explain general trends or new phenomena will be less sensitive to the method used. SIGNIFICANCE STATEMENTSmall changes to the amounts and types of lipids in membranes can drastically affect the membranes behavior. Unfortunately, it is unknown whether (or to what extent) different methods of making vesicles alter the ratios of lipids in membranes, even when identical stock solutions are used. This presents challenges for researchers when comparing data with colleagues who use different methods. Here, we measure ratios of lipid types in vesicle membranes produced by five methods. We assess each methods reproducibility and compare resulting vesicle compositions across methods. In doing so, we provide a quantitative basis that the scientific community can use to estimate whether differences between their results can be simply attributed to differences between methods or to sample-to-sample variations.

biophysics↗

Retrotransposon-mediated variation of a chitin synthase gene confers insect resistance to Bacillus thuringiensis Vip3Aa toxin

Bacillus thuringiensis (Bt) crops expressing Vip3Aa are highly efficacious in controlling major lepidopteran pests and delaying evolution of pest resistance. Although practical resistance to Vip3Aa in the field has not been reported, to proactively manage the pest resistance, there is an urgent need to better understand the genetic basis of resistance to Vip3Aa. This is particularly important for the fall armyworm (Spodoptera frugiperda), one of the most destructive pests around the world, which has evolved practical resistance to Bt crystal (Cry) toxins. Here, a highly Vip3Aa-resistant (resistance ratio: 5,562-fold) strain of S. frugiperda was selected in the laboratory. Results from bulked segregant analysis, fine-scale mapping, and genetic linkage analysis indicate that a mutation in the midgut-specific chitin synthase gene, SfCHS2, is strongly associated with high-level resistance to Vip3Aa. The resistance is ascribed to the transcriptional variation caused by retrotransposon insertion. The same variation of SfCHS2 was also detected in a field population. Importantly, knockout of SfCHS2 via CRISPR/Cas9 in susceptible S. frugiperda confers its complete resistance (>10,000-fold) to Vip3Aa. Also, we demonstrate that knockout of CHS2 can result in complete resistance to Vip3Aa in additional lepidopteran species, suggesting a general role of this gene in Vip3Aa resistance among lepidopteran pests. These results reported here would contribute to monitor and management of pest resistance to Vip3Aa.

genetics↗

Harnessing the diversity of Burkholderia spp. prophages for therapeutic potential

Burkholderia spp. are often resistant to antibiotics, and infections with these organisms are difficult to treat. A potential alternative treatment for Burkholderia spp. infections is bacteriophage (phage) therapy; however, it can be difficult to locate phages that target these bacteria. Prophages incorporated into the bacterial genome have been identified within Burkholderia spp. and may represent a source of useful phages for therapy. Here we investigate whether prophages within Burkholderia spp. clinical isolates can kill conspecific and heterospecific isolates. Thirty-two Burkholderia spp. isolates were induced for prophage release, and harvested prophages were tested for lytic activity against the same 32 isolates. Lytic phages were passaged and their host ranges were determined, resulting in four unique phages of prophage origin that showed different ranges of lytic activity. We also analyzed the prophage content of 35 Burkholderia spp. clinical isolate genomes, and identified several prophages present in the genomes of multiple isolates of the same species. Finally, we observed that B. cenocepacia isolates were more phage-susceptible than Burkholderia multivorans isolates. Overall, our findings suggest that prophages present within Burkholderia spp. genomes are a potentially useful starting point for the isolation and development of novel phages for use in phage therapy.

microbiology↗

A Framework to Determine Active Connectivity within the Mouse Brain

Tremendous effort has focused on determining the physical connectivity within the mouse brain. However, the strength of connections within the brain constantly changes throughout the 24-hour day. Here, we combine experimental and computational methods to determine an "active connectivity" of the physical connections between the most active neurons. Brain cells of freely behaving mice are genetically marked with the activity- dependent TRAP2 system, imaged, digitized, and their connectivity is inferred from the latest brain atlases. We apply our methods to determine the most active networks in the early light and early dark hours of the day, two periods with distinct differences in sleep, wake, and feeding behavior. Increased signaling is seen through the visceral and agranular insular (AI) regions in the early day as peripheral stimuli are integrated. On the other hand, there is an increase in the activity of the retrosplenial cortex (RSP) and the anterior cingulate cortex (ACC) during the early night, when more sustained attention is required. Our framework carves a window to the three-dimensional networks of active connections in the mouse brain that underlie spontaneous behaviors or responses to environmental changes, thus providing the basis for direct computer simulations and analysis of such networks in the future.

neuroscience↗

Biosynthesis of the proteins containing neurotoxin β-N-methylamino-L-alanine in marine diatoms

Neurotoxin {beta}-N-methylamino-L-alanine (BMAA) has been deemed a pathogenic factor for human neurodegenerative diseases. It is an important issue to disclose the biosynthesis mechanism of BMAA in marine diatoms. In the present study, the iron (Fe) limitation (1/3 x Fe) was found to suppress the growth of diatoms but stimulate the production of BMAA-containing proteins, maximum 7.7 fold in Thalassiosira minima. Transcriptome analysis showed that energy metabolism, protein biosynthesis and carbon fixation functions were mainly affected by the Fe limitation in the diatom. Analysis of subcellular distribution of BMAA showed that BMAA-containing proteins were mainly detected in the endoplasmic reticulum and the Golgi apparatus. Combination results of the responses of the diatom to Fe deficiency and co-culture with cyanobacteria in our previous study, we speculate that cysteine embedded in peptide chains and methylamine produced by the diatom itself are possibly catalyzed by the cysteine synthase (cysK) to form the BMAA structure in situ. Spiked methylamine in culture media significantly stimulated the production of BMAA, and BMAA amounts were correlated with the expression of cysK gene in different diatoms. The reduced ubiquitination-mediated proteolysis and vesicle trafficking precision through the COPII system would aggravate the accumulation of BMAA-containing proteins in the diatom. Significance StatementWith the detection of neurotoxin BMAA in diverse marine diatoms, the pathogenic risk of BMAA has been further concerned to human neurodegenerative diseases such as Alzheimers disease. Interestingly, BMAA-containing proteins are the dominant forms of this neurotoxin in diatoms. It is a keystone issue to disclose the biosynthesis mechanism of BMAA in marine diatoms. We found Fe-limitation could stimulate the production of BMAA-containing proteins in diatoms and explored its biosynthesis using transcriptomics in this study. Results suggested that cysteine embedded in peptides and methylamine in cytoplasm were catalyzed by the cysteine synthase (cysK) to form BMAA. This study hints that the biosynthesis of BMAA would be improved by the worldwide prevalence of iron deficiency in the coastal waters.

biochemistry↗

Mind the gap: A systematic review and meta-analysisof how social memory is studied

Social recognition is crucial for survival in social species, and necessary for group living, selective reproduction, pair bonding, and dominance hierarchies. Mice and rats are the most commonly used animal models in social memory research, however current paradigms do not account for the complex social dynamics they exhibit in the wild. To assess the range of social memories being studied, we conducted a systematic analysis of neuroscience articles testing the social memory of mice and rats published within the past two decades and analyzed their methods. Our results show that despite these rodents rich social memory capabilities, the majority of social recognition papers explore short-term memories and short-term familiarity levels with minimal exposure between subject and familiar stimuli - a narrow type of social memory. We have identified several key areas currently understudied or underrepresented: kin relationships, mates, social ranks, sex variabilities, and the effects of aging. Additionally, reporting on social stimulus variables such as housing history, strain, and age, is limited, which may impede reproducibility. Overall, our data highlight large gaps in the diversity of social memories studied and the effects social variables have on social memory mechanisms.

neuroscience↗

Brain-wide topographic coordination of traveling spiral waves

Traveling waves of activity are a prevalent phenomenon within neural networks of diverse brain regions and species, and have been implicated in myriad brain functions including sensory perception, memory, spatial navigation, and motor control. However, their spatial organization, anatomical basis, and whether they are locally confined versus distributed across the brain, remains unclear. Here we used cortex-wide imaging and large-scale electrophysiology in awake mice to reveal the organization of traveling waves across spatial scales. Traveling waves formed spiral patterns predominantly centered on somatosensory cortex, sweeping across somatotopic maps. Strikingly, the local axonal architecture of neurons in sensory cortex exhibited a matching circular arrangement. At the cortex-wide scale, these spiral waves were mirrored between hemispheres and between sensory and motor cortex, reflecting topographic long-range axons. At the brain-wide scale, cortical spiral waves were coordinated with subcortical spiking patterns in the thalamus, striatum, and midbrain. These results establish that traveling waves are shaped by axonal pathways into coordinated spiral patterns that globally impact neural activity across diverse brain systems, revealing a distributed, multi-sensory organizational principle for propagating neural activity.

neuroscience↗

Protein tyrosine phosphatase receptor kappa regulates glycolysis and de novo lipogenesis to promote hepatocyte metabolic reprogramming in obesity

Fat accumulation, de novo lipogenesis, and glycolysis are key drivers of hepatocyte reprogramming and the consequent metabolic dysfunction-associated steatotic liver disease (MASLD). Here we report that obesity leads to dysregulated expression of hepatic protein-tyrosine phosphatases (PTPs). PTPRK was found to be increased in steatotic hepatocytes in both humans and mice, and positively correlated with PPAR{gamma}-induced lipogenic signalling. High-fat-fed PTPRK knockout mice displayed reduced weight gain and hepatic fat accumulation. Phosphoproteomic analysis in primary hepatocytes and hepatic metabolomics identified fructose-1,6-bisphosphatase 1 and glycolysis as PTPRK targets in metabolic reprogramming. Silencing PTPRK in hepatoma cell lines resulted in reduced colony-forming ability and PTPRK knockout mice developed smaller tumours after diethylnitrosamine-induced hepatocarcinogenesis. Our study defines a novel role for PTPRK in regulating hepatic glycolysis, lipid metabolism, and tumour development. PTPRK inhibition may provide therapeutic possibilities in obesity-associated liver diseases. HighlightsO_LIHepatic receptor-type PTPs are increased in MASLD C_LIO_LIPTPRK is expressed in hepatocytes and upregulated in obesity C_LIO_LIPTPRK deficiency reduces body fat mass and liver steatosis in diet-induced obesity C_LIO_LIPTPRK regulates hepatic glycolysis and lipogenesis, promoting tumorigenesis C_LI

cancer biology↗

Temporal gene expression changes and affected pathways in neurodevelopment of a mouse model of Smith-Lemli-Opitz syndrome

Smith-Lemli-Opitz syndrome (SLOS) is a cholesterol biosynthesis disorder that arises from mutations in the gene DHCR7, leading to decreased production of cholesterol and accumulation of its precursor, 7-dehydrocholesterol. SLOS displays a wide range of neurodevelopmental defects, intellectual disability, and behavioral problems. However, an in-depth study on the temporal changes of gene expression in the developing brains has not been done before. In this work, we carried out the transcriptomic analysis of whole brains from WT and Dhcr7-KO mice at embryonic day 12.5 (E12.5), E14.5, E16.5, and postnatal day 0 (PND0). First, we observed the expected downregulation of the Dhcr7 gene in the Dhcr7-KO brains, as well as changes of other genes involved in cholesterol biosynthesis at all time points. Pathway and GO term enrichment analyses revealed affected signaling pathways and biological processes that were shared amongst time points and unique to individual time points. Specifically, the pathways important for embryonic and neural development, including Hippo, Wnt, and TGF-{beta} signaling pathways, are the most significantly affected at the earliest time point, E12.5. Additionally, neurogenesis-related GO terms were enriched in earlier time points, consistent with the timing of development. Conversely, pathways related to synaptogenesis, which occurs later in development compared to neurogenesis, are significantly affected at the later time points, E16.5 and PND0, including the cholinergic, glutamatergic, and GABAergic synapses. In vitro neurogenesis experiments using GABAergic neuronal precursors isolated from embryonic mouse brain confirmed that loss of Dhcr7 led to decreased proliferation and premature neurogenesis, consistent with the transcriptomic changes.

neuroscience↗

Cell type-specific translational regulation by Human DUS enzymes

Dihydrouridine is an abundant and conserved modified nucleoside present on tRNA, but characterization and functional studies of modification sites and associated DUS writer enzymes in mammals is lacking. Here we use a chemical probing strategy, RNABPP-PS, to identify 5-chlorouridine as an activity-based probe for human DUS enzymes. We map D modifications using RNA-protein crosslinking and chemical transformation and mutational profiling to reveal D modification sites on human tRNAs. Further, we knock out individual DUS genes in two human cell lines to investigate regulation of tRNA expression levels and codon-specific translation. We show that whereas D modifications are present across most tRNA species, loss of D only perturbs the translational function of a subset of tRNAs in a cell type-specific manner. Our work provides powerful chemical strategies for investigating D and DUS enzymes in diverse biological systems and provides insight into the role of a ubiquitous tRNA modification in translational regulation.

biochemistry↗

The LexA-RecA* structure reveals a lock-and-key mechanism for SOS activation

The bacterial SOS response plays a key role in adaptation to DNA damage, including that caused by antibiotics. SOS induction begins when activated RecA*, an oligomeric nucleoprotein filament formed on single-stranded DNA, binds to and stimulates autoproteolysis of the repressor LexA. Here, we present the structure of the complete SOS signal complex, constituting full-length LexA bound to RecA*. We uncover an extensive interface unexpectedly including the LexA DNA-binding domain, providing a new molecular rationale for ordered SOS response gene induction. Furthermore, we find that the interface involves three RecA monomers, with a single residue in the central monomer acting as a molecular key, inserting into an allosteric binding pocket to induce LexA cleavage. Given the pro-mutagenic nature of SOS activation, our structural and mechanistic insights provide a foundation for developing new therapeutics to slow the evolution of antibiotic resistance.

biochemistry↗

No evidence for highly pathogenic avian influenza virus H5N1 (clade 2.3.4.4b) in the Antarctic region during the austral summer 2022/23

The current highly pathogenic avian influenza H5N1 panzootic has substantial impacts on wild birds and marine mammals. Although major outbreaks occurred in South America, incursion to Antarctica emerged late in the breeding season of 2023/2024 and was confined the wider region of the Antarctic Peninsula. To infer potential underlying processes, we compiled H5N1 surveillance from Antarctica and Sub-Antarctic Islands prior to the first confirmed cases.

microbiology↗

HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling

Single-cell DNA-sequencing (scDNA-seq) enables decoding somatic cancer variation. Existing methods are hampered by low throughput or cannot be combined with transcriptome sequencing in the same cell. We propose HIPSD&R-seq (HIgh-throughPut Single-cell Dna and Rna-seq), a scalable yet simple assay to profile low-coverage DNA and RNA in thousands of cells in parallel. Our approach builds on an accessible modification of the 10X Genomics platform for scATAC and multiome profiling. In applications to human cell models and primary tissue, we demonstrate the feasibility to detect rare clones and we combine the assay with combinatorial indexing to profile over 16,000 cells.

cancer biology↗

Amur grape genome sequence

To date, there is no high-quality sequence for genomes of the East Asian grape species, hindering biological and breeding research efforts to improve grape cultivars. This study presents a [~]522 Mb of the Vitis amurensis (Va) genome sequence containing 27,635 coding genes. Phylogenetic analysis indicated that V. riparia (Vr) may firstly split from the other two species, Va, V. Vinifera (Vv; Pinot Noir: PN40024 and Cabernet Sauvignon). Much divergent gene reservation among three grape duplicated gene sets suggests that the core eudicot common hexaploidy (ECH), 130 million years ago (Mya), has still played a non-negligible role in grape species divergence and biological innovation. Prominent accumulation of sequence variants might have improved cold resistance in Va, resulting in a more robust cold resistance gene regulatory network than those in Vv and Vr. In contrast, Va preserved much fewer NBS disease resistance genes than the other grapes. Notably, multi-omics analysis identified one trans-cinnamate 4-monooxygenase gene positively correlated to the resveratrol accumulated during Va berry development. A selective sweep analysis revealed a hypothetical Va sex-determination region (SDR). Besides, a PPR-containing protein-coding gene in the hypothetical SDR may be related with sex determination in Va. The content and arrangement order of genes in the putative SDR of female Va were similar to the SDR of female Vv. However, the putative SDR of female Va lost one Flavin-containing monooxygenases (FMO) and contained one extra uncharacterized protein-coding gene. These findings will improve the understanding of Vitis biology and contribute to the improvement of grape breeding.

genomics↗

MALDI-IM-MS Imaging of Brain Sterols and Lipids in a Mouse Model of Smith-Lemli-Opitz Syndrome

Smith-Lemli-Opitz syndrome (SLOS) is a neurodevelopmental disorder caused by genetic mutations in the DHCR7 gene, which encodes the enzyme 3{beta}-hydroxysterol-{Delta}7-reductase (DHCR7) that catalyzes the last step of cholesterol synthesis, resulting in deficiency in cholesterol and accumulation of its precursor, 7-dehydrocholesterol (7-DHC). To understand how the brain regions are differentially affected by the defective Dhcr7, we aim to map the regional distribution of sterols and other lipids in neonatal brains from a Dhcr7-KO mouse model of SLOS, using mass spectrometry imaging (MSI). MSI enables spatial localization of biomolecules in situ on the surface of a tissue section, which is particularly useful for mapping the changes that occur within a metabolic disorder such as SLOS, and in an anatomically complex organ such as the brain. In this work, using MALDI-ion mobility (IM)-MSI, we successfully determined the regional distribution of features that correspond to cholesterol, 7-DHC/desmosterol, and the precursor of desmosterol, 7-dehydrodesmosterol, in WT and Dhcr7-KO mice. Interestingly, we also observed m/z values that match the major oxysterol metabolites of 7-DHC (DHCEO and hydroxy-7-DHC), which displayed similar patterns to 7-DHC. We then identified brain lipids using m/z and CCS at the Lipid Species-level and curated a collection of MALDI-IM-MS-derived lipid CCS values. Subsequent statistical analysis of regions-of-interest allowed us to identify differentially expressed lipids between Dhcr7- KO and WT brains, which could contribute to defects in myelination, neurogenesis, neuroinflammation, and learning and memory in SLOS.

neuroscience↗

Transcriptome-wide RNA structure probing with temporal resolution

Reactive small-molecule probes are widely used for RNA structure probing, however current approaches largely measure average RNA transcript dynamics and do not resolve structural differences that occur during folding or transcript maturation. Here, we present SNIPER-seq, an RNA structure probing method relying upon metabolic labeling with 2-aminodeoxycytidine, structure-dependent 2-amino reaction with an aromatic isothiocyanate, and high-throughput RNA sequencing. Our method maps cellular RNA structure transcriptome-wide with temporal resolution enabling determination of transcript age-dependent RNA structural dynamics. We benchmark our approach against known RNA structures and investigate the dynamics of human 5S rRNA during ribosome biogenesis, revealing specific structural changes in 5S rRNA loops that occur over the course of several hours. Taken together, our work sheds light on the maturation and coordinated conformational changes that take place during ribosome biogenesis and provides a general strategy for surveying evolving RNA structural dynamics across the transcriptome.

biochemistry↗

GeneCompass: Deciphering Universal Gene Regulatory Mechanisms with Knowledge-Informed Cross-Species Foundation Model

Deciphering the universal gene regulatory mechanisms in diverse organisms holds great potential to advance our knowledge of fundamental life process and facilitate research on clinical applications. However, the traditional research paradigm primarily focuses on individual model organisms, resulting in limited collection and integration of complex features on various cell types across species. Recent breakthroughs in single-cell sequencing and advancements in deep learning techniques present an unprecedented opportunity to tackle this challenge. In this study, we developed GeneCompass, the first knowledge-informed, cross-species foundation model pre-trained on an extensive dataset of over 120 million single-cell transcriptomes from human and mouse. During pre-training, GeneCompass effectively integrates four types of biological prior knowledge to enhance the understanding of gene regulatory mechanisms in a self-supervised manner. Fine-tuning towards multiple downstream tasks, GeneCompass outperforms competing state-of-the-art models in multiple tasks on single species and unlocks new realms of cross-species biological investigation. Overall, GeneCompass marks a milestone in advancing knowledge of universal gene regulatory mechanisms and accelerating the discovery of key cell fate regulators and candidate targets for drug development.

bioinformatics↗