Biology subjects

Li, Q.

Publications and source records attributed to Li, Q..

At least 667 records · Page 37Linked to original sources

bioRxiv2020

Echocardiography-guided percutaneous left ventricular intracavitary injection as a cell delivery approach in infarcted mice

BackgroundIn the field of cell therapy for heart disease, a new paradigm of repeated dosing of cells has recently emerged. However, the lack of a repeatable cell delivery method in preclinical studies in rodents is a major obstacle to investigating this paradigm. Methods and ResultsWe have established and standardized a method of echocardiography-guided percutaneous left ventricular intracavitary injection (echo-guided LV injection) as a cell delivery approach in infarcted mice. Here, we describe the method in detail and address several important issues regarding it. First, by integrating anatomical and echocardiographic considerations, we have established strategies to determine a safe anatomical window for injection in infarcted mice. Second, we summarize our experience with this method (734 injections). The overall survival rate was 91.4%. Previous studies results suggest that 1x106 cells delivered via this method yielded similar retention in the heart at 24 h as 1x105 cells delivered via intracoronary or intramyocardial injection. Lastly, we examined the efficacy of this cell delivery approach. Compared with vehicle treatment, cardiac mesenchymal cells (CMCs) delivered via this method improved cardiac function assessed both echocardiographically and hemodynamically. Furthermore, repeated injections of CMCs via this method yielded greater cardiac function improvement than single dose administration. ConclusionEcho-guided LV injection is a feasible, reproducible, relatively less invasive and effective delivery method for cell therapy in heart disease. It is an important approach that could move the field of cell therapy forward, especially with regard to repeated cell administrations.

physiology↗

bioRxiv2020

A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing

An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 290,000 people since the end of 2019, killed over 12,000, and caused worldwide social and economic disruption1,2. There are currently no antiviral drugs with proven efficacy nor are there vaccines for its prevention. Unfortunately, the scientific community has little knowledge of the molecular details of SARS-CoV-2 infection. To illuminate this, we cloned, tagged and expressed 26 of the 29 viral proteins in human cells and identified the human proteins physically associated with each using affinity-purification mass spectrometry (AP-MS), which identified 332 high confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 existing FDA-approved drugs, drugs in clinical trials and/or preclinical compounds, that we are currently evaluating for efficacy in live SARS-CoV-2 infection assays. The identification of host dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral therapeutics against SARS-CoV-2 and other deadly coronavirus strains.

systems biology↗

bioRxiv2020

HARMONIES: A Hybrid Approach for Microbiome Networks Inference via Exploiting Sparsity

The human microbiome is a collection of microorganisms. They form complex communities and collectively affect host health. Recently, the advances in next-generation sequencing technology enable the high-throughput profiling of the human microbiome. This calls for a statistical model to construct microbial networks from the microbiome sequencing count data. As microbiome count data are high-dimensional and suffer from uneven sampling depth, over-dispersion, and zero-inflation, these characteristics can bias the network estimation and require specialized analytical tools. Here we propose a general framework, HARMONIES, a Hybrid Approach foR MicrobiOme Network Inferences via Exploiting Sparsity, to infer a sparse microbiome network. HARMONIES first utilizes a zero-inflated negative binomial (ZINB) distribution to model the skewness and excess zeros in the microbiome data, as well as incorporates a stochastic process prior for sample-wise normalization. This approach infers a sparse and stable network by imposing non-trivial regularizations based on the Gaussian graphical model. In comprehensive simulation studies, HARMONIES outperformed four other commonly used methods. When using published microbiome data from a colorectal cancer study, it discovered a novel community with disease-enriched bacteria. In summary, HARMONIES is a novel and useful statistical framework for microbiome network inference, and it is available at https://github.com/shuangj00/HARMONIES.

bioinformatics↗

bioRxiv2020

Alterations in the gut microbiome by HIV-1 infection or a high-fat diet associates with systemic immune activation and inflammation in double humanized-BLT mice

BackgroundWhile the translatability of gut microbiome studies utilizing animal models to humans has proven difficult, studying the gut microbiome directly in humans is also challenging due to the existence of many confounding variables. Therefore, we utilized double humanized mice, which have both an engrafted stable human-like gut microbiome and functional human immune system. With this model, we were able to determine the in vivo impact of HIV-1 infection or a high-fat diet (HFD) on gut human microbiome composition, and its relationship with human immune cell activation and systemic inflammation. ResultsSurgery was performed on NSG mice to create humanized bone-marrow, liver, thymus mice (hu-mice). In order to create double hu-mice, the hu-mice were treated with broad spectrum antibiotics to deplete murine gut bacteria and subsequently transplanted with human fecal material from healthy human donors. We characterized 262 fecal samples from hu-mice, double hu-mice, and human fecal donors to determine the impact of HIV-1 infection or HFD on the gut microbiome and systemic immune activation and inflammation. We found that HIV-1 infection altered the human-like gut microbiome of double hu-mice, which was associated with decreased human CD4 T cells and increased systemic inflammation and immune activation. Further, using a HFD we induced gut microbial dysbiosis in double hu-mice which corresponded with increased systemic immune activation and inflammation. ConclusionsHere, we describe the changes in the human gut microbiome and human immune system due to HIV-1 infection or HFD using our double hu-mice model. HIV-1 infection led to changes in the composition of the human-like gut microbiome that was associated with human CD4 T cell loss and high levels of inflammation and immune activation. The HFD quickly changed the composition of the gut microbiome and led to systemic immune activation and inflammation. We further identified a subset of gut bacteria in HIV-1 infected and HFD fed double hu-mice that was closely associated with systemic inflammation and immune activation. This study demonstrated how double humanized mice can be used to study the complex in vivo interactions of the gut microbiome and human immune system in the context of both disease and diet.

microbiology↗

bioRxiv2020

Negative effects characterization and comparative transcriptomics elucidation on the lag phase of an industrial S. cerevisiae under the corn stover hydrolysate stress

During biofuels fermentation from pretreated lignocellulosic biomass, the strong toxicity of the lignocellulose hydrolysate is resulted from the synergistic effect of multiple lignocellulosic inhibitors, which far exceeds the sum of effects caused by every single inhibitor. Meanwhile, the synergistic effect is unclear and the underlying response mechanism of the industrial yeast towards the actual pretreated lignocellulose hydrolysate is still under exploration. Here, we employed an industrial S. cerevisiae for the transcriptomic analysis in two time points (early and late) of the lag phase under the corn stover hydrolysate stress. As investigation, the corn stover hydrolysate caused the accumulation of reactive oxygen species (ROS), damages of mitochondrial membrane and endoplasmic reticulum (ER) membrane in the industrial S. cerevisiae YBA_08 during the lag phase, especially these negative effects were more significant at the early lag phase. Based on the transcriptome profile, the industrial S. cerevisiae YBA_08 might recruit stress-related transcription factors (MSN4, STE12, SFL1, CIN5, COM2, MIG3, etc.) through the mitogen-activated protein kinase (MAPK)-signaling pathway to induce a transient G1/G2 arrest, and to activate defense bioprocesses like protectants metabolism, sulfur metabolism, glutaredoxin system, thioredoxin system, heat shock proteins chaperone and oxidoreductase detoxification, resisting those compounded stresses including oxidative stress, osmotic stress and structural stress. Surprisingly, this defense system might be accompanied with the transient repression of several bioprocesses like fatty acid metabolism, purine de novo biosynthesis and ergosterol biosynthesis. ImportanceThis research systematically demonstrated the lag phase response of an industrial yeast to the lignocellulosic hydrolysate in transcriptional level, providing a molecular fundament for understanding the synergistic effect of various lignocellulosic inhibitors and the regulatory mechanism of tolerance for industrial yeasts under this stress.

microbiology↗

bioRxiv2020

Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligence

BackgroundAccurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on their daily image analyses. MethodsBased on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC prediction/diagnosis using weakly labeled pathological whole slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, >14,680 WSIs, from >9,631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, U.S., and Germany. ResultsOur innovative AI tool was consistently nearly perfectly agreed with (average Kappa-statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multi-centers. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.981 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. ConclusionsThis first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. Hence, it will drastically alleviate the heavy clinical burden of daily pathology diagnosis, and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.

pathology↗

bioRxiv2020

Adaptive evolution of DNA methylation reshaped gene regulation in maize

DNA methylation is a ubiquitous chromatin feature -- in maize, more than 25% of cytosines in the genome are methylated. Recently, major progress has been made in describing the molecular mechanisms driving methylation, yet variation and evolution of the methylation landscape during maize domestication remain largely unknown. Here we leveraged whole-genome sequencing (WGS) and whole genome bisulfite sequencing (WGBS) on populations of modern maize, landrace, and teosinte (Zea mays ssp. parviglumis) to investigate the adaptive and phenotypic consequences of methylation variations in maize. By using a novel estimation approach, we inferred the methylome site frequency spectrum (mSFS) to estimate forward and backward epimutation rates and selection coefficients. We found weak evidence for direct selection on DNA methylation in any context, but thousands of differentially methylated regions (DMRs) were identified in population-wide that are correlated with recent selection. Further investigation revealed that DMRs are enriched in 5 untranslated regions, and that maize hypomethylated DMRs likely helped rewire distal gene regulation. For two trait-associated DMRs, vgt1-DMR and tb1-DMR, our HiChIP data indicated that the interactive loops between DMRs and respective downstream genes were present in B73, a modern maize line, but absent in teosinte. Functional analyses suggested that these DMRs likely served as cis-acting elements that modulated gene regulation after domestication. Our results enable a better understanding of the evolutionary forces acting on patterns of DNA methylation and suggest a role of methylation variation in adaptive evolution.

plant biology↗

bioRxiv2020

Dopaminergic Co-transmission with Sonic Hedgehog Inhibits Expression of Abnormal Involuntary Movements

L-Dopa induced dyskinesia (LID) is a debilitating side effect of dopamine replacement therapy for Parkinsons Disease. The mechanistic underpinnings of LID remain obscure. Here we report that diminshed sonic hedgehog (Shh) signaling in the basal ganglia caused by the degeneration of midbrain dopamine neurons (DANs) facilitates the formation and expression of LID. We demonstrate that augmenting Shh signaling with agonists of the Shh effector Smoothened attenuates LID in mouse and macaque models of PD. Employing conditional genetic loss-of-function approaches, we show that reducing Shh secretion from DANs or Smo activity in cholinergic interneurons (CINs) promotes LID. Conversely, the selective expression of constitutively active Smo (SmoM2) in CINs is sufficient to render the sensitized aphakia model of PD resistant to LID. Furthermore, acute depletion of Shh from DANs through prolonged optogenetic stimulation in otherwise intact mice and in the absence of L-Dopa produces LID-like involuntary movements. These findings indicate that augmenting Shh signaling in the L-Dopa treated brain may be a promising and unexpected novel therapeutic approach for mitigating the dyskinetic side effects of long-term treatment with L-Dopa

neuroscience↗

bioRxiv2020

Deep learning-based adaptive detection of fetal nucleated red blood cells

Aimthis study, we established an artificial intelligence system for rapid identification of fetal nucleated red blood cells (fNRBCs). MethodDensity gradient centrifugation and magnetic-activated cell sorting were used for the separation of fNRBCs from umbilical cord blood. The cell block technique was used for fixation. We proposed a novel preprocessing method based on imaging characteristics of fNRBCs for region of interest (ROI) extraction, which automatically segmented individual cells in peripheral blood cell smears. The discriminant information from ROIs was encoded into a feature vector and pathological diagnosis were provided by the prediction network. ResultsFour umbilical cord blood samples were collected and validated based on a large dataset containing 260 samples. Finally, the dataset was classified into 3,720 and 1,040 slides for training and testing, respectively. In the test set, classifier obtained 98.5% accuracy and 96.5% sensitivity. ConclusionTherefore, this study offers an effective and accurate method for fNRBCs preservation and identification.

pathology↗

bioRxiv2020

A draft genome assembly of the eastern banjo frog Limnodynastes dumerilii dumerilii (Anura: Limnodynastidae)

Amphibian genomes are usually challenging to assemble due to large genome size and high repeat content. The Limnodynastidae is a family of frogs native to Australia, Tasmania and New Guinea. As an anuran lineage that successfully diversified on the Australian continent, it represents an important lineage in the amphibian tree of life but lacks reference genomes. Here we sequenced and annotated the genome of the eastern banjo frog Limnodynastes dumerilii dumerilii to fill this gap. The total length of the genome assembly is 2.38 Gb with a scaffold N50 of 285.9 kb. We identified 1.21 Gb of non-redundant sequences as repetitive elements and annotated 24,548 protein-coding genes in the assembly. BUSCO assessment indicated that more than 94% of the expected vertebrate genes were present in the genome assembly and the gene set. We anticipate that this annotated genome assembly will advance the future study of anuran phylogeny and amphibian genome evolution.

genomics↗

bioRxiv2020

Combinatorial action of transcription factors in open chromatin contributes to early cellular heterogeneity and organizer mesendoderm specification.

During gastrulation, mesoderm is induced in pluripotent cells, concomitant with dorsal-ventral patterning and establishing of the dorsal axis. How transcription factors operate within the constraints of chromatin accessibility to mediate these processes is not well-understood. We applied chromatin accessibility and single cell transcriptome analyses to explore the emergence of heterogeneity and underlying gene-regulatory mechanisms during early gastrulation in Xenopus. ATAC-sequencing of pluripotent animal cap cells revealed a state of open chromatin of transcriptionally inactive lineage-restricted genes, whereas chromatin accessibility in dorsal marginal zone cells more closely reflected the transcriptional activity of genes. We characterized single cell trajectories in animal cap and dorsal marginal zone in early gastrula embryos, and inferred the activity of transcription factors in single cell clusters by integrating chromatin accessibility and single cell RNA-sequencing. We tested the activity of organizer-expressed transcription factors in mesoderm-competent animal cap cells and found combinatorial effects of these factors on organizer gene expression. In particular the combination of Foxb1 and Eomes induced a gene expression profile that mimicked those observed in head and trunk organizer single cell clusters. In addition, genes induced by Eomes, Otx2 or the Irx3-Otx2 combination, were enriched for promoters with maternally regulated H3K4me3 modifications, whereas promoters selectively induced by Lhx8 were marked more frequently by zygotically controlled H3K4me3. Our results show that combinatorial activity of zygotically expressed transcription factors acts on maternally-regulated accessible chromatin to induce organizer gene expression.

developmental biology↗

bioRxiv2020

Key histone chaperones have distinct roles in replisome progression and genomic stability

Replication-coupled (RC) nucleosome assembly is an essential process in eukaryotic cells in order to maintain chromatin structure during DNA replication. The deposition of newly synthesized H3/H4 histones during DNA replication is facilitated by specialized histone chaperones. Although the contribution of these histone chaperones to genomic stability has been thoroughly investigated, their effect on replisome progression is much less understood. By exploiting a time-lapse microscopy system for monitoring DNA replication in individual live cells, we examined how mutations in key histone chaperones including CAC1, RTT106, RTT109 and ASF1, affect replication fork progression. Our experiments revealed that mutations in CAC1 or RTT106 that directly deposit histones on the DNA, slowdown replication fork progression. In contrast, analysis of cells mutated in the intermediary ASF1 or RTT109 histone chaperones revealed that replisome progression is not affected. We found that mutations in histone chaperones including ASF1 and RTT109 lead to extended G2/M duration, elevated number of RPA foci and in some cases, increased spontaneous mutation rate. Our research suggests that histone chaperones have distinct roles in enabling high replisome progression and maintaining genome stability during cell cycle progression. Author SummaryHistone chaperones (HC) play key roles in maintaining the chromatin structure during DNA replication in eukaryotic cells. Despite extensive studies on HCs, little is known regarding their importance for replication fork progression during S-phase. Here, we utilized a live-cell imaging approach to measure the progression rates of single replication forks in individual yeast cells mutated in key histone chaperones. Using this approach, we show that mutations in CAC1 or RTT106 HCs that directly deposit histones on the DNA lead to slowdown of replication fork progression. In contrast, mutations in ASF1 or RTT109 HCs that transfers H3/H4 to CAC1 or RTT106, do not affect replisome progression but lead to post replication defects. Our results reveal distinct functions of HCs in replication fork progression and maintaining genome stability.

cell biology↗

bioRxiv2020

Genetic structure, function and evolution of capsule biosynthesis loci in Vibrio parahaemolyticus

Capsule-forming extracellular polysaccharides are crucial to bacterial host colonization, invasion, immune evasion and ultimately pathogenicity. Due to warming ocean waters and human encroachment of coastal ecosystems, Vibrio parahaemolyticus has emerged as a globally important food-borne enteropathogen implicated in acute gastroenteritis, wound infections, and septic shock. Conventionally, the antigenic properties of lipopolysaccharide (LPS, O antigen) and capsular polysaccharide (CPS, K antigen) have provided a basis for serotyping V. parahaemolyticus, while disclosure of genetic elements encoding 13 O-serogroups have allowed molecular serotyping methods to be developed. However, the genetic structure of CPS loci for 71 K-serogroups has remained unidentified, limiting progress in understanding its roles in V. parahaemolyticus pathophysiology. In this study, we identified and characterized the genetic structure and their evolutionary relationship of CPS loci of 40 K-serogroups through whole genome sequencing of 443 V. parahaemolyticus strains. We found a distinct pattern of CPS gene cluster across different K-serogroups, and expanded its new right-border by identifying glpX as a key gene conserved across all serotypes. A total of 217 genes involved in CPS biosynthesis were annotated. Functional contents and genetic structure of the 40 K-serogroups were analyzed. Based on inferences from species trees and gene trees, we proposed an evolution model of the CPS gene clusters of 40 K-serogroups. Horizontal gene transfer by recombination from other Vibrio species, gene duplication and nonsense mutations are likely to play instrumental roles in the evolution of CPS in V. parahaemolyticus. It is the first time, to the best of our knowledge, that a large-scale of CPS gene clusters of different K-serogroups in V. parahaemolyticus have been identified and characterized in evolutionary contexts. This work should help advance understanding on the variation of CPS in V. parahaemolyticus, and provide a framework for developing diagnostically relevant serotyping methods. Author summaryDue to warming ocean waters and human encroachment of coastal ecosystems, Vibrio parahaemolyticus has emerged as a globally important food-borne enteropathogen. However, the genetic structure of CPS loci for 71 K-serogroups V. parahaemolyticus have remained unidentified, limiting progress in understanding its roles in V. parahaemolyticus pathophysiology. In this study, we identified and characterized the genetic structure of CPS loci of 40 K-serogroups through whole genome sequencing of 443 V. parahaemolyticus strains. We expanded and identified its new right-border by identifying glpX as a key gene conserved across all serotypes. We proposed an evolution model of the CPS gene clusters of 40 K-serogroups. We also found horizontal gene transfer by recombination from other Vibrio species, gene duplication and nonsense mutations are likely to play instrumental roles in the evolution of CPS in V. parahaemolyticus. It is the first time, to the best of our knowledge, that a large-scale of CPS loci of different K-serogroups in V. parahaemolyticus have been identified and characterized in evolutionary contexts. This work should help advance understanding on the variation of CPS in V. parahaemolyticus, and provide a framework for developing diagnostically relevant serotyping methods.

microbiology↗

bioRxiv2020

Prediction of meiosis-essential genes based upon the dynamic proteomes responsive to spermatogenesis

Mammalian meiosis is a specific cell division process during sexual reproduction, whereas a comprehensive proteome of the different meiotic stages has not been systematically investigated. Here, we isolated different types of spermatocytes from the testes of spermatogenesis-synchronized mice and quantified the corresponding proteomes with high-resolution mass spectrometry. A total of 8,002 proteins were identified in nine types of germ cells, and the protein signatures of spermatogenesis were characterized using the dynamic proteomes. A supervised machine learning package, FuncProFinder, was developed to predict meiosis-essential candidate genes based on changes in their protein abundance. Of the candidates without functional annotation, four of the ten genes with the highest prediction scores, Zcwpw1, Tesmin, 1700102P08Rik, and Kctd19, were validated as meiosis-essential genes using knockout mouse models. The proteomic analysis of spermatogenic cells provides a solid foundation for studying the mechanism of mammalian meiosis.

developmental biology↗

bioRxiv2020

From SARS-CoV to Wuhan 2019-nCoV: Will History Repeat Itself?

This manuscript has been withdrawn as it was submitted without the full consent of all the authors. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

microbiology↗

bioRxiv2020

On the origin and evolution of RNA editing in metazoans

Extensive adenosine-to-inosine (A-to-I) editing of nuclear-transcribed RNAs is the hallmark of metazoan transcriptional regulation, and is fundamental to numerous biochemical processes. Here we explore the origin and evolution of this regulatory innovation, by quantifying its prevalence in 22 species that represent all major transitions in metazoan evolution. We provide substantial evidence that extensive RNA editing emerged in the common ancestor of extant metazoans. We find the frequency of RNA editing varies across taxa in a manner independent of metazoan complexity. Nevertheless, cis-acting features that guide A-to-I editing are under strong constraint across all metazoans. RNA editing seems to preserve an ancient mechanism for suppressing the more recently evolved repetitive elements, and is generally nonadaptive in protein-coding regions across metazoans, except for Drosophila and cephalopods. Interestingly, RNA editing preferentially target genes involved in neurotransmission, cellular communication and cytoskeleton, and recodes identical amino acid positions in several conserved genes across diverse taxa, emphasizing broad roles of RNA editing in cellular functions during metazoan evolution that have been previously underappreciated.

evolutionary biology↗

bioRxiv2020

Hydrogen evolution and absorption phenomena in plasma membrane of higher plants

Molecular hydrogen (H2) exhibits a wide breadth of botanical effects especially in improving the resistance to abiotic stress. However, the primary target is not clear. Bidirectional hydrogenases have been well studied in microbes and alga, but there is a paucity of research in higher plants. Here, we used real-time spectrophotometry, gas chromatography and H2 sensor to detect the H2-evolving and H2-uptake activity of the plasma membrane (PM) vesicles of higher plants. Net H+, Na+ and K+ fluxes were measured using Non-invasive Micro-test Technology (NMT). We found that the PM vesicles of Vigna radiata hypocotyls and Capsicum annuum stems have the ability of both oxidizing and producing H2. This two-way enzymatic activity coupled with the redox of ferricyanide/ferrocyanide and NADH/NAD+. H2 affected the H+ and Na+ fluxes on the surface of V. radiata hypocotyls. These results demonstrate that the PM vesicles of higher plants have the abilities of H2 evolution and absorption. The bidirectional activities may act as a valve to regulate the energy balance in plant cells.

biochemistry↗

bioRxiv2020

Molecular Diversity Among Adult Hippocampal and Entorhinal Cells

The hippocampal-entorhinal system is comprised of functionally distinct subregions collectively critical for cognition, and selectively vulnerable to aging and pathological processes. To gain insights into neuronal and non-neuronal populations within this system, we performed single-nucleus transcriptional profiling from five human hippocampal-entorhinal subregions. We found that transcriptomic diversity of excitatory neurons across these subregions reflected the molecular transition from three-layered archicortex to six-layered neocortex. Additionally, mRNA and protein for DCX, an immature neuron marker, were clearly detected in some cells, but not in dentate granule cells, the cell-type predicted to be generated in adult neurogenesis. We also found that previously functionally uncharacterized METTL7B was enriched in human and non-human primate neuronal subtypes less vulnerable to initial Alzheimers disease pathology. Proteomic and biochemical assays revealed METTL7B interacts with Alzheimers disease-related proteins, including APP, and its overexpression reduced amyloid-beta generation. These results reveal cell type-specific molecular properties relevant for hippocampal-entorhinal physiology and dysfunction.

neuroscience↗