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Sheng, L.

Publications and source records attributed to Sheng, L..

10 recordsLinked to original sources

SERPINA3 and NDRG1 are critical diagnostic immune genes associated with macrophages in preeclampsia

ObjectiveThe immune system plays a role in the occurrence and progression of numerous pregnancy complications, particularly preeclampsia (PE). This study aims to identify critical immune biomarkers via machine learning and assess their predictive ability. MethodsGene expression data were retrieved from the GEO database, while immune-related genes were obtained from the ImmPort repository. Differential expression analysis was then conducted to identify immune genes associated with PE. Different immune-related genes (DIRGs) were subjected to functional and pathway enrichment analysis. We adopted protein-protein interaction (PPI) networks for exploring the connections among various DIRGs and integrated two machine-learning to pinpoint candidate biomarkers in PE. Diagnostic performance was assessed via ROC curve analysis, with predictive accuracy further quantified using nomogram calibration. Findings were validated through integrated computational and experimental analyses. In silico validation utilized additional GEO datasets, while experimental confirmation involved qRT-PCR and IHC assessment of placental tissues. We developed a nomogram to predict PE utilizing two immune-related genes. Cellular composition was inferred from transcriptomic data using CIBERSORT deconvolution.. ResultsWe identified 66 differentially expressed genes (DEGs) and 10 DIRGs between PE pregnancies and normotensive pregnancies. The GO analyses revealed that the DIRGs were enriched in gonadotropin secretion, the regulation of gonadotropin secretion, and the regulation of endocrine processes. Functional annotation revealed enrichment in cytokine and neuroactive ligand-receptor pathways. SERPINA3 and NDRG1 emerged as top-performing biomarkers (training AUCs: 0.812 and 0.866; external validation: 0.795 and 0.781), with overexpression validated in clinical specimens. Both genes inversely regulated M2 macrophage abundance (P < 0.05). ConclusionPE is fundamentally an immune-mediated disorder. SERPINA3 and NDRG1 can be identified as key immune genes associated with M2 macrophages, and these findings provide novel perspectives for the diagnosis and pathogenesis of PE.

immunology↗

Engineering novel AAV capsids by global de-targeting and subsequent muscle-specific tropism in mice and NHPs

Recombinant adeno-associated viral (rAAV) vectors are a potent tool, but their clinical application is restricted by insufficient target tissue transduction and liver toxicity. We employed a novel two-step engineering strategy to create novel rAAV capsids with global tissue de-targeting, then produced strong tissue-specific expression by adding a peptide sequence. We created a novel capsid, AAV.Zero1, with globally de-targeted transduction by loop swapping domains from AAV9 into AAV2. Making an R585A substitution (AAV.Zero2) re-targeted tissues but deleting residues 585-587 (AAV.Zero3) abrogated transduction. Inserting a myogenic peptide into AAV.Zero3 produced a novel capsid (AAV.eM) with strong muscle-specific transgene expression while maintaining minimal off-target expression, including in liver, which was conserved in two mouse strains and non-human primates. AAV.eM showed similar expression as the leading myotropic vector MyoAAV.4A but had a more favorable safety profile. Importantly, AAV.eM was able to functionally rescue a mouse model of Duchenne Muscular Dystrophy following systemic delivery of a micro-dystrophin gene. Thus, AAV.eM is an improved myotropic rAAV capsid that de-targets other tissues, especially the liver, and proof-of-concept for a platform to create capsids with specific properties that translate across species by addition of peptides onto low transduction backbones.

bioengineering↗

Extreme high-diversity barcoded HIV library enables single cell multi-omics analysis of viral expression and fate determination

HIV-1 persists as a global health challenge due to its ability to establish latent reservoirs that evade eradication by antiretroviral therapy (ART). This study introduces a high-diversity barcoded HIV-1 library combined with a novel peptide barcode system to enable single-cell multi-dimensional analysis of viral integration, transcription, splicing, and translation of distinct viral mRNA isoform. Our method revealed over 80 distinct HIV-1 splicing isoforms and uncovered significant temporal variation in mRNA diversity, driven by integration site and chromatin context. By linking HIV-1 5UTR with peptide barcoding, we quantified the translation efficiency of alternative 5' UTRs and demonstrated correlations with abundance of each viral mRNA isoform. Additionally, we showed that latency reversal agents, such as SAHA and Bryostatin, selectively reactivate proviruses depending on their genomic and chromatin context and leads to distinct viral RNA splicing program. This platform revealed the diversity of HIV-infected cells at levels of transcripts as well as at proteins, and subsequently the fate determination. The detailed understanding of the stochastic diversity and dynamic nature of HIV-1 latency, inform the development of targeted therapies to eliminate latent reservoirs.

microbiology↗

Hormonal gatekeeping via the blood brain barrier governs behavior

Here we reveal an unanticipated role of the blood-brain-barrier (BBB) in regulating complex social behavior in ants. Using scRNA-seq we find localization in the BBB of a key hormone-degrading enzyme called Juvenile hormone esterase (Jhe), and we show that this localization governs the level of Juvenile Hormone (JH3) entering the brain. Manipulation of the Jhe level reprograms the brain transcriptome between ant castes. While ant Jhe is retained and functions intracellularly within the BBB, we show that Drosophila Jhe is naturally extracellular. Heterologous expression of ant Jhe into the Drosophila BBB alters behavior in fly to mimic what is seen in ant. Most strikingly, manipulation of Jhe levels in ant reprograms complex behavior between worker castes. Our study thus uncovers a novel, potentially conserved role of the BBB serving as a molecular gatekeeper for a neurohormonal pathway that regulates social behavior.

neuroscience↗

Single-Cell Transcriptomic Analyses of Tumor Ecosystems and Spatial Architectures in Human Small Cell Lung Cancers

Small cell lung cancer (SCLC) is a highly heterogenous disease characterized by aggressive phenotypes and poor prognosis. In order to dissect the cellular components and their spatial distribution in SCLC ecosystems, here we performed single-cell RNA sequencing and spatial transcriptomics analyses of 12 resected human primary SCLCs. Our analysis revealed extensive heterogeneity of both tumor and non-tumor cells, and a predominant immunosuppressive microenvironment. Importantly, multiple hybrid tumor cell states were unmasked, including hybrid SCLC and lung adenocarcinoma cells as well as hybrid tumor and immune cells, indicating high phenotypic plasticity of tumor cells. Moreover, we revealed the cellular origin and evolution of these hybrid tumor cells, and critical roles of tumor-stromal cellular crosstalk in driving the development of hybrid cells. In conclusion, this study deepens our understanding of human SCLC ecosystems and provides rationales to target the hybrid tumor cells and immunosuppressive microenvironment for SCLC therapies.

cancer biology↗

Systematic characterization of short intronic splicing-regulatory elements

Intronic splicing enhancers and silencers (ISEs and ISSs) are two groups of splicing-regulatory elements (SREs) that play critical roles in determining splice-site selection, particularly for alternatively spliced introns or exons. SREs are often short motifs; their mutation or dysregulation of their cognate proteins frequently causes aberrant splicing and results in disease. To date, however, knowledge about SRE sequences and how they regulate splicing remains limited. Here, using an SMN2 minigene, we generated a complete pentamer-sequence library that comprises all possible combinations of 5 nucleotides in intron 7, at a fixed site downstream of the 5' splice site. We systematically analyzed the effects of all 1023 mutant pentamers on exon 7 splicing, in comparison to the wild-type minigene, in HEK293 cells. Our data show that the majority of pentamers significantly affect exon 7 splicing: 584 of them are stimulatory and 230 are inhibitory. To identify actual SREs, we utilized a motif set enrichment analysis (MSEA), from which we identified groups of stimulatory and inhibitory SRE motifs. We experimentally validated several strong SREs in SMN1/2 and MAPT minigene settings. Our results provide a valuable resource for understanding how short RNA sequences regulate splicing. Many novel SREs can be explored further to elucidate their mechanism of action.

molecular biology↗

Genome annotation with long RNA reads reveals new patterns of gene expression in an ant brain

Functional genomic analyses rely on high-quality genome assemblies and annotations. Highly contiguous genome assemblies have become available for a variety of species, but accurate and complete annotation of gene models, inclusive of alternative splice isoforms and transcription start and termination sites remains difficult with traditional approaches. Here, we utilized full-length isoform sequencing (Iso-Seq), a long-read RNA sequencing technology, to obtain a comprehensive annotation of the transcriptome of the ant Harpegnathos saltator. The improved genome annotations include additional splice isoforms and extended 3 untranslated regions for more than 4,000 genes. Reanalysis of RNA-seq experiments using these annotations revealed several genes with caste-specific differential expression and tissue-or caste-specific splicing patterns that were missed in previous analyses. The extended 3 untranslated regions afforded great improvements in the analysis of existing single-cell RNA-seq data, resulting in the recovery of the transcriptomes of 18% more cells. The deeper single-cell transcriptomes obtained with these new annotations allowed us to identify additional markers for several cell types in the ant brain, as well as genes differentially expressed across castes in specific cell types. Our results demonstrate that Iso-Seq is an efficient and effective approach to improve genome annotations and maximize the amount of information that can be obtained from existing and future genomic datasets in Harpegnathos and other organisms.

genomics↗

Social reprogramming in ants induces longevity-associated glia remodeling

Healthy brain aging is of crucial societal importance; however, the mechanisms that regulate it are largely unknown. Social insects are an outstanding model to study the impact of environment and epigenetics on brain function and aging because workers and queens arise from the same genome but display profound differences in behavior and longevity. In Harpegnathos saltator ants, adult workers can transition to a queen-like phenotypic state called gamergate. This caste transition results in reprogramming of social behavior and lifespan extension. Whether these changes in brain function and physiology cause brain remodeling at the cellular level is not known. Using single-cell RNA-sequencing of Harpegnathos brains undergoing caste transition, we uncovered shifts in neuronal and glial populations. In particular, the conversion of workers into long-lived gamergates caused the expansion of ensheathing glia, which maintain brain health by phagocytosing damaged neuronal structures. These glia cells were lost during aging in normal workers but not in longer-lived gamergates. We observed similar caste- and age-associated differences in ensheathing glia in other Hymenoptera as well as Drosophila melanogaster. We propose that enhanced glia-based neuroprotection promotes healthy brain aging and contributes to the extended lifespan of the reproductive caste in social insects.

neuroscience↗

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

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

microbiology↗

Inhibition of ADORA1 attenuates hepatic steatosis by gut microbiota-derived acetic acid from Astragalus polysaccharides

The authors have withdrawn this manuscript, because some data could not be replicated. During the process of subsequent revision of the manuscript, we separated the data into two parts. The majority data of the preprint draft, the anti-NAFLD effect of Astragalus polysaccharides (APS) in mice and the contribution of gut microbiota, were independently published in 2021 after substantial revision (doi: https://doi.org/10.1080/19490976.2021.1930874). However, the data on figure 6 (about ARs inhibitors DPCPX orally ameliorating NAFLD in mice, and Adora1 si-RNA data in vitro) could not be fully replicated in subsequent experiments. The most probable reason might be due to the batch differences of mice / cells, or other undetermined factors during experiment. Moreover, we have carried out in-depth studies on the exact role of hepatic A1R on NAFLD formation, which is opposite to our prior assumption. Therefore, we do not wish this work to be cited as reference for the project. We apologize for any inconvenience caused to our readers. Any questions can be addressed to first/corresponding author.

physiology↗