Biology subjects

Meng, H.

Publications and source records attributed to Meng, H..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

Interpretable high-resolution dimension reduction of spatial transcriptomics data by DeepFuseNMF

Spatial transcriptomics (ST) technologies have revolutionized tissue architecture studies by capturing gene expression with spatial context. However, high-dimensional ST data often have limited spatial resolution and exhibit considerable noise and sparsity, posing significant challenges in deciphering subtle spatial structures and underlying biological activities. Here, we introduce SpaHDmap, an interpretable dimension reduction framework that enhances spatial resolution by integrating ST gene expression with high-resolution histology images. SpaHDmap incorporates non-negative matrix factorization into a multimodal fusion encoder-decoder architecture, enabling the identification of interpretable, high-resolution embeddings. Furthermore, SpaHDmap can simultaneously analyze multiple samples and is compatible with various types of histology images. Extensive evaluations on synthetic and real ST datasets from various technologies and tissue types demonstrate that SpaHDmap can effectively produce highly interpretable, high-resolution embeddings, and detects refined spatial structures. SpaHDmap represents a powerful approach for integrating ST data and histology images, offering deeper insights into complex tissue structures and functions.

bioinformatics↗

bioRxiv2024

De novo Design of A Fusion Protein Tool for GPCR Research

G protein-coupled receptors (GPCRs) play pivotal roles in cellular signaling and represent prominent drug targets. Structural elucidation of GPCRs is crucial for drug discovery efforts. However, structural studies of GPCRs remain challenging, particularly for inactive state structures, which often require extensive protein engineering. Here, we present a de novo design strategy termed "click fusion" for generating fusion proteins to facilitate GPCR structural studies. Our method involves the rational design of structurally stable protein domains rigidly linked to GPCRs. The resulting fusion protein enhances the thermostability of the target GPCR and aids in determining GPCR structures via cryo-electron microscopy (cryo-EM). We further demonstrate that the designed fusion protein can be transferred among structurally similar GPCRs with minor adjustments to the linker region. Our study introduces a promising approach for facilitating GPCR structural studies and advancing drug discovery efforts.

biophysics↗

bioRxiv2024

Putting computational models of immunity to the test - an invited challenge to predict B. pertussis vaccination outcomes

Systems vaccinology studies have been used to build computational models that predict individual vaccine responses and identify the factors contributing to differences in outcome. Comparing such models is challenging due to variability in study designs. To address this, we established a community resource to compare models predicting B. pertussis booster responses and generate experimental data for the explicit purpose of model evaluation. We here describe our second computational prediction challenge using this resource, where we benchmarked 49 algorithms from 53 scientists. We found that the most successful models stood out in their handling of nonlinearities, reducing large feature sets to representative subsets, and advanced data preprocessing. In contrast, we found that models adopted from literature that were developed to predict vaccine antibody responses in other settings performed poorly, reinforcing the need for purpose-built models. Overall, this demonstrates the value of purpose-generated datasets for rigorous and open model evaluations to identify features that improve the reliability and applicability of computational models in vaccine response prediction.

immunology↗

bioRxiv2024

Bio-macromolecular assembly machine for human limb lengthening

Growth plate (GP) is the critical cartilaginous structure for longitudinal bone growth. Herein, employing high-resolution analytical techniques, we explore the intricate mechanisms that govern the polarized mineralization patterns within GP. The GP-epiphysis interface displays a sharp transition in tissue modulus, acting as a "protective shell" for the underlying GP, whereas the GP-metaphysis interface exhibits a gradual modulus increase, enabling efficient load redistribution to metaphysis. The unique mechanical environments at these two interfaces contribute to polarized CaP mineralization patterns, which are regulated by a complex protein-based molecular machinery. The mineralization inhibitors SPP1 and AHSG enriched at the GP-epiphysis interface could act as a line of defence against mineralization. When these two proteins coexisted with the mineralization-promoting ENPP1 and ALPL at the GP-metaphysis interface, a sequential event of precise nucleation and programmable assembly of CaP minerals occur, forming "mineralization waves" to guide bone elongation. By replicating such specific macromolecular environment at GP-metaphysis interface, a hypertable amorphous calcium phosphate (ACP) phase is well-retained in vitro, demonstrating the possibility for precise and gentle control of ACP-hydroxyapatite (HAp) transformation under physiological conditions. Our study defines a novel concept of "mineralization waves" that govern the velocity and amplitude of GP-guided mineralization process.

bioengineering↗

bioRxiv2024

A Tough Biointerface in Human Knee Empowered by Dynamic Phase-transforming Minerals in Collagenous Matrix

Joining heterogeneous materials in engineered structures remains a daunting challenge because of stress concentration, often resulting in unexpected failures1,2. Studying the structures in organisms that evolved for centuries provides valuable insights that can be instrumental in addressing this mechanical challenge3-5. The human meniscus root-bone interface is a remarkable example known for its exceptional fatigue resistance, toughness and interfacial adhesion properties throughout its lifespan6-8. We studied the multiscale graded mineralization structure designs within the 30-micron soft-hard interface at the root-bone junction and examined its toughening mechanisms. This graded interface with interdigitated structures and exponential modulus increase exhibits a phase transition from amorphous calcium phosphate (ACP) to gradually matured hydroxyapatite (HAP) crystals, mediated by location-specific distributed biomolecules. In coordination with collagen fibril deformation and reorientation, ACP particles debond with collagen and slide to new positions which enable frictional energy dissipation, and HAP particles arrest cracks. The mineral in transforming phases work synergistically to provide interfacial toughening. The presented biointerface model exemplifies human musculoskeletal systems adaptations to mechanical requirements, offering a blueprint for developing tough interfaces in broad applications.

bioengineering↗

bioRxiv2024

TDP-43 mutations-induced defects in miRNA biogenesis and cytotoxicity by differentially obstructing Dicer activity in Drosophila and in vitro

Mutations in the DNA/RNA-binding protein 43 (TDP-43) can cause amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD). As an RNA-binding protein, TDP-43 plays a diverse physiological role in RNA processing and is potentially involved in the pathological progression caused by disease mutations. However, the precise mechanisms linking RNA dysregulation and TDP-43 mutations, which propel disease progression, are not yet fully understood. Here, we demonstrate that TDP-43 and its Drosophila homolog, TBPH, whose mutations crucially perturb Dicer presentation, result in dysregulated miRNA profiles. Genetically modulating the expression or pharmacologically activating Dicer implies unique interactions of TDP-43 A315T and M337V with the Dicer protein, suggesting a specific mechanism of C-terminal disease mutations contributes to the pathological process. Unlike TDP-43 A315T, the M337V mutation causes the assembly of aggregates and reorganizes but functionally preserves the Dicer activity in miRNA processing. Mutations in TDP-43 disrupt miRNA biogenesis by hindering its interaction with Dicer, leading to cytotoxicity and providing mechanistic insight into the pathogenic mutations associated with ALS-FTD.

molecular biology↗

bioRxiv2024

A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning

BackgroundRadiotherapy resistance is a major obstacle to the long-term survival of nasopharyngeal cancer patients, as it is a primary cause of recurrence and metastasis. Identifying radiotherapy-associated biomarkers can help improve the survival prognosis of nasopharyngeal cancer patients. Consequently, discovering biomarkers associated with radiosensitization is crucial. MethodsWe evaluated 113 combinations of machine learning algorithms and ultimately selected 48 to construct a radiotherapy sensitivity score (NPC-RSS) that can predict radiosensitivity in nasopharyngeal cancer patients. Furthermore, we analyzed the relationship between NPC-RSS and the expression of genes associated with immune and radiotherapy sensitivity profiles. We employed GSEA and ssGSEA to investigate the connection between NPC-RSS and signaling pathways. ResultsWe selected the combined model glmBoost+NaiveBayes, which had the best AUC among 48 models, for our subsequent study. The NPC-RSS, built based on the 18 genes included in this model, can predict the results of the public dataset and the in-house dataset of Zhujiang Hospital, Southern Medical University, with considerable efficiency. The key genes of NPC-RSS are closely associated with immune characteristics, including chemokine and chemokine receptor families, and histocompatibility complex (MHC), and show more active immune processes. Meanwhile, these key genes were significantly associated with the expression of radiosensitization-related genes. Furthermore, GSVA and GSEA analyses demonstrated that different expression levels of key NPC-RSS genes influenced signaling pathways, such as the Wnt/{beta}-catenin signaling pathway, JAK-STAT signaling pathway,NF-kappa B signaling pathway and T cell receptor signaling pathway, which are associated with immunity and disease progression. The consistency of the expression of key genes SMARCA2 and CD9 with NPC-RSS was validated in in-house cell lines. The radiosensitive group, classified according to NPC-RSS, exhibited a more enriched and activated state of immune infiltration compared to the radioresistant group. Moreover, in single-cell samples, NPC-RSS was higher in the radiotherapy-sensitive group, with immune cells playing a predominant role. ConclusionsIn this study, we used machine learning to construct a predictive score, called NPC-RSS, associated with radiosensitivity in nasopharyngeal carcinoma patients; moreover, NPC-RSS is strongly associated with immune characteristics, expression of radiosensitivity-related genes, and signaling pathways related to disease progression. We hope that the NPC-RCC will enable more precise selection of the NPC population of potential beneficiaries of radiation therapy.

bioinformatics↗

bioRxiv2024

Establishing a straight-forward I-SceI mediated recombination one plasmid system for efficient genome editing in P. putida KT2440

Pseudomonas putida has become an increasingly important chassis for the production of valuable bioproducts. This development is not at least due to the ever-improving genetic toolbox, including gene and genome editing techniques. Here, we present a novel, one plasmid design of a key genetic tool, the pEMG/pSW system, guaranteeing one engineering cycle to be finalized in three days. The pEMG/pSW system proved in the last decade to be valuable for targeted gensome engineering in Pseudomonas, as it enables the deletion of large regions of the genome, the integration of heterologous gene clusters or targeted generation of point mutations. Here, to expedite genetic engineering, two alternative plasmids were constructed: 1) the sacB gene from Bacillus subtilis was integrated into the I-SceI expressing plasmid pSW-2 as counterselection marker to accelerated plasmid curing; 2) double strand break introducing gene I-SceI and SacB counterselection marker were integrated into the backbone of the original pEMG vector, named pEMG-RIS. The single plasmid of pEMG-RIS allows rapid genome editing despite the low transcriptional activity of a single copy of the I-SceI encoding gene. Here, the usability of the pEMG-RIS is shown in P. putida KT2440 by integrating an expression cassette including a msfGFP gene in three days. In addition, a large fragment of almost 16 kb was also integrated. In summary, an updated pEMG/pSW genome editing system is presented that allows efficient and rapid genome editing in P. putida. The pEMG-RIS will be available via the Addgene platform.

microbiology↗

bioRxiv2024

nf-core/airrflow: an adaptive immune receptor repertoire analysis workflow employing the Immcantation framework

Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) is a valuable experimental tool to study the immune state in health and following immune challenges such as infectious diseases, (auto)immune diseases, and cancer. Several tools have been developed to reconstruct B cell and T cell receptor sequences from AIRR-seq data and infer B and T cell clonal relationships. However, currently available tools offer limited parallelization across samples, scalability or portability to high-performance computing infrastructures. To address this need, we developed nf-core/airrflow, an end-to-end bulk and single-cell AIRR-seq processing workflow which integrates the Immcantation Framework following BCR and TCR sequencing data analysis best practices. The Immcantation Framework is a comprehensive toolset, which allows the processing of bulk and single-cell AIRR-seq data from raw read processing to clonal inference. nf-core/airrflow is written in Nextflow and is part of the nf-core project, which collects community contributed and curated Nextflow workflows for a wide variety of analysis tasks. We assessed the performance of nf-core/airrflow on simulated sequencing data with sequencing errors and show example results with real datasets. To demonstrate the applicability of nf-core/airrflow to the high-throughput processing of large AIRR-seq datasets, we validated and extended previously reported findings of convergent antibody responses to SARS-CoV-2 by analyzing 97 COVID-19 infected individuals and 99 healthy controls, including a mixture of bulk and single-cell sequencing datasets. Using this dataset, we extended the convergence findings to 20 additional subjects, highlighting the applicability of nf-core/airrflow to validate findings in small in-house cohorts with reanalysis of large publicly available AIRR datasets. Availability and implementationnf-core/airrflow is available free of charge, under the MIT license on GitHub (https://github.com/nf-core/airrflow). Detailed documentation and example results are available on the nf-core website at (https://nf-co.re/airrflow). Visual abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=100 SRC="FIGDIR/small/576147v2_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@e39504org.highwire.dtl.DTLVardef@14c52aforg.highwire.dtl.DTLVardef@1c87664org.highwire.dtl.DTLVardef@1d4d78b_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2023

CEP44 is required for maintaining centriole duplication and spindle integrity

In animal cells, the centrosome, consisting of two centrioles, duplicates only once per cell cycle for bipolar spindle formation. Defective centriole duplication results in abnormal spindle formation and chromosome missegregation, which is closely linked to tumor growth. However, the molecular mechanisms licensing only one centriole duplication cycle within a cell cycle are less well known. Here we found that CEP44 is negatively correlated with breast carcinoma. CEP44, jointly with CEP57 and CEP57L1, maintains centriole engagement in the interphase to ensure centriole duplication once per cell cycle. Depletion of CEP44 leads to centriole overduplication because of premature centriole disengagement, and multipolar spindle formation. Additionally, CEP44 is phosphorylated by Aurora A at the G2/M phase to facilitate spindle localization and maintain spindle integrity. Collectively, our results show the function of CEP44 in spindle formation by preventing centriole overduplication and maintaining spindle integrity, and CEP44 may serve as a potential marker for breast carcinoma prognosis.

cell biology↗

bioRxiv2023

Protein-Ligand Binding Site Prediction and de Novo Ligand Generation from Cryo-EM Maps

Identification of protein-ligand binding sites is one of the most challenging tasks in drug discovery and design. Recent advances in machine learning community, particularly deep learning, inspired considerable research into deep learning-based methods for protein ligand binding site prediction (PLBP) and have achieved promising results. However one limitation of these methods and models is that they are developed and evaluated using conventional databases consisting of relatively small protein structures determined from X-ray crystallography and NMR with high resolution. When current PLBP methods are directly applied to large protein complexes, they either fail or produce very poor results. Given the increasing popularity of protein structures determined from Cryo-EM maps, which usually capture large protein complexes at relatively low resolution, there is a strong need to apply PLBP methods to Cryo-EM maps. For this purpose, we created a novel database (EMD-Ligand Dataset) consisting of Cryo-EM maps and information about their ligand-binding partners. Our study of several state-of-the-art PLBP methods show that even though they perform reasonably well on conventional databases, they do poorly on the novel EMD-Ligand Dataset, which calls for more research and work to be done by the community. As current methods for determining protein structures experimentally from Cryo-EM maps are time-consuming and expensive, we integrated PLBP methods with DeepTracer, an automatic and fast, de novo Cryo-EM protein structure modeling method, and established an end-to-end system capable of predicting ligand binding sites directly from Cryo-EM maps. Additionally, we leveraged an existing ligand generator to generate drug-like ligands from our predicted ligand-binding pockets and demonstrated its effectiveness.

bioinformatics↗

bioRxiv2023

Deep Phenotyping of the Lipidomic Response in COVID and non-COVID Sepsis

Lipids may influence cellular penetrance by pathogens and the immune response that they evoke. Here we find a broad based lipidomic storm driven predominantly by secretory (s) phospholipase A2 (sPLA2) dependent eicosanoid production occurs in patients with sepsis of viral and bacterial origin and relates to disease severity in COVID-19. Elevations in the cyclooxygenase (COX) products of arachidonic acid (AA), PGD2 and PGI2, and the AA lipoxygenase (LOX) product, 12-HETE, and a reduction in the high abundance lipids, ChoE 18:3, LPC-O-16:0 and PC-O-30:0 exhibit relative specificity for COVID-19 amongst such patients, correlate with the inflammatory response and link to disease severity. Linoleic acid (LA) binds directly to SARS-CoV-2 and both LA and its di-HOME products reflect disease severity in COVID-19. AA and LA metabolites and LPC-O-16:0 linked variably to the immune response. These studies yield prognostic biomarkers and therapeutic targets for patients with sepsis, including COVID-19. An interactive purpose built interactive network analysis tool was developed, allowing the community to interrogate connections across these multiomic data and generate novel hypotheses.

systems biology↗

bioRxiv2023

High-level production of nervonic acid in the oleaginous yeast Yarrowia lipolytica by systematic metabolic engineering

Brain and neurological diseases are influencing more than one billion worlds people. Nervonic acid (cis-15-tetracosenoic acid, C24:1 {Delta}15) benefits the treatment of neurological diseases and the health of brain. Currently, the sources of nervonic acid are limited to the seeds of a couple of plants. In this study, we employed the oleaginous yeast Yarrowia lipolytica to overproduce nervonic acid oil by systematic metabolic engineering. First, engineering the fatty acid elongation (FAE) pathway by expressing a heterologous {beta}-ketoacyl-CoA synthase gene CgKCS enabled the production of nervonic acid in Y. lipolytica. Second, modulation of endogenous pathways by expressing a C16:0-acyl-CoA preferred fatty acid elongase gELOVL6 together with a C18:0-acyl-CoA preferred fatty acid desaturase MaOLE2 increased the content of nervonic acid in total fatty acids (TFA). Third, iterative expression of CgKCS, gELOVL6 and MaOLE2 at the genomic loci of rDNA, FAD2, TGL4, GSY1 and SNF1 dramatically improved the production of nervonic acid. Fourth, the biosynthesis of both nervonic acid and lipids were further enhanced by expression of the MaOLE2-CgKCS fusion protein and glycerol-3-phosphate acyltransferases (GPAT) and diacylglycerol acyltransferases (DGAT) from Malania oleifera in the endoplasmic reticulum (ER) membrane. Fifth, an ER structure regulator YlINO2 was identified in Y. lipolytica and the overexpression of YlINO2 led to a 39.3% increase in lipid production. Next, pilot-scale fermentation in 50-L reactor using the strain YLNA9 exhibited a lipid titer of 96.7 g/L and a nervonic acid titer of 17.3 g/L, the highest reported titer to date for de novo nervonic acid production. We also found that disruption of the AMP-activated S/T protein kinase SNF1 increased the ratio of nervonic acid (C24:1) to lignoceric acid (C24:0) by 61.6% and a ratio of 3.5:1 (nervonic acid to lignoceric acid) was achieved in the strain YLNA10. Finally, a proof-of-concept purification and separation of nervonic acid were performed and the purity of it reached 98.7%. This study suggested that oleaginous yeasts are attractive hosts for the cost-efficient production of nervonic acid and possibly other very long-chain fatty acids (VLCFAs).

bioengineering↗

bioRxiv2023

Pangolin genomes offer key insights and resources for the world's most trafficked wild mammals

Pangolins form a group of scaly mammals that are trafficked at record numbers for their meat and medicinal properties. Despite their great conservation concern, knowledge of their evolution is limited by a paucity of genomic data. We aim to produce exhaustive genomic resources that include 3 238 orthologous genes and whole-genome polymorphisms to assess the evolution of all eight pangolin species. Robust orthologous gene-based phylogenies recovered the monophyly of the three genera of pangolins, and highlighted the existence of an undescribed species closely related to South-East Asian pangolins. Signatures of middle Miocene admixture between an extinct, possibly European, lineage and the ancestor of South-East Asian pangolins, provides new insights into the early evolutionary history of the group. Demographic trajectories and genome-wide heterozygosity estimates revealed contrasts between continental vs. island populations and species lineages, suggesting that conservation planning should consider intra-specific patterns. With the expected loss of genomic diversity from recent, extensive trafficking not yet been realized in pangolins, we recommend that populations are genetically surveyed to anticipate any deleterious impact of the illegal trade. Finally, we produce a complete set of genomic resources that will be integral for future conservation management and forensic endeavors required for conserving pangolins, including tracing their illegal trade. These include the completion of whole-genomes for pangolins through the first reference genome with long reads for the giant pangolin (Smutsia gigantea) and new draft genomes (~43x-77x) for four additional species, as well as a database of orthologous genes with over 3.4 million polymorphic sites.

genomics↗

bioRxiv2022

DNA looping mediates cooperative transcription activation

Transcription factors respond to multi-level stimuli and co-occupy promoter regions of target genes to activate RNA polymerase (RNAP) in a cooperative manner. To decipher the molecular mechanism, here we report two cryo-electron microscopy structures of Anabaena transcription activation complexes (TACs): NtcA-TAC composed of RNAP holoenzyme, promoter and a global activator NtcA, and NtcA-NtcB-TAC comprising an extra context-specific regulator NtcB. Structural analysis showed that NtcA binding makes the promoter DNA bend by [~]50{o}, which facilitates RNAP to contact NtcB at the distal upstream NtcB box. The sequential binding of NtcA and NtcB induces looping back of promoter DNA towards RNAP, enabling the assembly of a fully activated TAC bound with two activators. Together with biochemical assays, we propose a DNA looping mechanism of cooperative transcription activation in bacteria.

molecular biology↗

bioRxiv2022

Fast and Automated Protein-DNA/RNA Macromolecular Complex Modeling from Cryo-EM Maps

Cryo-electron microscopy (cryo-EM) allows a macromolecular structure such as protein-DNA/RNA complexes to be reconstructed in a three-dimensional coulomb potential map. The structural information of these macromolecular complexes forms the foundation for understanding the molecular mechanism including many human diseases. However, the model building of large macromolecular complexes is often difficult and time-consuming. We recently developed DeepTracer-2.0, an artificial intelligence-based pipeline that can build amino acid and nucleic acid backbones from a single cryo-EM map, and even predict the best-fit residues according to the density of side chains. The experiments showed improved accuracy and efficiency when benchmarking the performance on independent experimental maps of protein-DNA/RNA complexes and demonstrated the promising future of macromolecular modeling from cryo-EM maps. Our method and pipeline could benefit researchers worldwide who work in molecular biomedicine and drug discovery, and substantially increase the throughput of the cryo-EM model building. The pipeline has been integrated into the web portal https://deeptracer.uw.edu/.

bioinformatics↗

bioRxiv2022

Context-dependent requirement of G protein coupling for Latrophilin-2 in target selection of hippocampal axons

The formation of neural circuits requires extensive interactions of cell-surface proteins to guide axons to their correct target neurons. Trans-cellular interactions of the adhesion G protein-coupled receptor latrophilin-2 (Lphn2) with its partner teneurin-3 instruct the precise assembly of hippocampal networks by reciprocal repulsion. Lphn2 acts as a receptor in distal CA1 neurons to direct their axons to proximal subiculum, and as a repulsive ligand in proximal subiculum to direct proximal CA1 axons to distal subiculum. It remains unclear if Lphn2-mediated intracellular signaling is required for its role in either context. Here, we show that Lphn2 couples to G12/13 in heterologous cells, which is increased by constitutive exposure of the tethered agonist. Specific mutations of Lphn2s tethered agonist region disrupt its G protein coupling and autoproteolytic cleavage, whereas mutating the autoproteolytic cleavage site prevents cleavage but preserves a functional tethered agonist. Using an in vivo misexpression assay, we demonstrate that wild-type Lphn2 misdirects proximal CA1 axons to proximal subiculum and that Lphn2 tethered agonist activity is required for its role as a repulsive receptor. By contrast, neither tethered agonist activity nor autoproteolysis was necessary for Lphn2s role as a repulsive ligand. Thus, tethered agonist activity is required for Lphn2-mediated neural circuit assembly in a context-dependent manner.

developmental biology↗

bioRxiv2022

Engineering precise adenine base editor with infinitesimal rates of bystander mutations and off-target editing

Adenine base editors (ABEs) catalyze A-to-G transitions showing broad applications, but their bystander mutations and off-target editing effects raise the concerns of safety issues. Through structure-guided engineering, we found ABE8e with an N108Q mutation reduced both adenine and cytosine bystander editing, and introduction of an additional L145T mutation (ABE9), further refined the editing window to 1-2nt with eliminated cytosine editing. Importantly, ABE9 induced very minimal RNA and undetectable Cas9-independent DNA off-target effects, which mainly installed desired single A-to-G conversion in mouse and rat embryos to efficiently generate disease models. Moreover, ABE9 accurately edited A5 position of the protospacer sequence in pathogenic homopolymeric adenosine sites (up to 342.5-fold precision than ABE8e) and was further confirmed through a library of guide RNA-target sequence pairs. Due to the minimized editing window, ABE9 could further broaden the targeting scope for precise correction of pathogenic SNVs when fused to Cas9 variants with expanded PAM compatibility.

bioengineering↗