Biology subjects

Zhou, R.

Publications and source records attributed to Zhou, R..

At least 163 records · Page 9Linked to original sources

bioRxiv2020

IOBR: Multi-omics Immuno-Oncology Biological Research to decode tumor microenvironment and signatures

MotivationRecent advance in next generation sequencing has triggered the rapid accumulation of publicly available multi-omics datasets. The application of integrated omics to exploring robust signatures for clinical translation is increasingly highlighted, attributed to the clinical success of immune checkpoint blockade in diverse malignancies. However, effective tools to comprehensively interpret multi-omics data is still warranted to provide increased granularity into intrinsic mechanism of oncogenesis and immunotherapeutic sensitivity. ResultsWe developed a computational tool for effective Immuno-Oncology Biological Research (IOBR), providing comprehensive investigation of estimation of reported or user-built signatures, TME deconvolution and signature construction base on multi-omics data. Notably, IOBR offers batch analyses of these signatures and their correlations with clinical phenotypes, lncRNA profiling, genomic characteristics and signatures generated from single-cell RNA sequencing data in different cancer settings. Additionally, IOBR also integrates multiple existing microenvironmental deconvolution methodologies and signature construction tools for convenient comparison and selection. Collectively, IOBR is a user-friendly tool, to leverage multi-omics data to facilitate immuno-oncology exploration and unveiling of tumor-immune interactions and accelerating precision immunotherapy.

bioinformatics↗

bioRxiv2020

ATAC-seq with unique molecular identifiers improves quantification and footprinting

ATAC-seq (Assay for Transposase-Accessible Chromatin with high-throughput sequencing) provides an efficient way to analyze nucleosome-free regions and has been applied widely to identify transcription factor footprints. Both applications rely on the accurate quantification of insertion events of the hyperactive transposase Tn5. However, due to the presence of the PCR amplification, it is impossible to accurately distinguish independently generated identical Tn5 insertion events from PCR duplicates using the standard ATAC-seq technique. Removing PCR duplicates based on mapping coordinates introduces an increasing bias towards highly accessible chromatin regions. To overcome this limitation, we establish a UMI-ATAC-seq technique by incorporating unique molecular identifiers (UMIs) into standard ATAC-seq procedures. In our study, UMI-ATAC-seq can rescue about 20% of reads that are mistaken as PCR duplicates in standard ATAC-seq, which helps identify an additional 50% or more of footprints. We demonstrate that UMI-ATAC-seq could more accurately quantify chromatin accessibility and significantly improve the sensitivity of identifying transcription factor footprints. An analytic pipeline is developed to facilitate the application of UMI-ATAC-seq, and it is available at https://github.com/tzhu-bio/UMI-ATAC-seq.

genomics↗

bioRxiv2020

CancerMIRNome: a web server for interactive analysis and visualization of cancer miRNome data

MicroRNAs (miRNAs), which play critical roles in gene regulatory networks, have emerged as promising diagnostic and prognostic biomarkers for human cancer. In particular, circulating miRNAs that are secreted into circulation exist in remarkably stable forms, and have enormous potential to be leveraged as non-invasive biomarkers for early cancer detection. Novel and user-friendly tools are desperately needed to facilitate data mining of the vast amount of miRNA expression data from The Cancer Genome Atlas (TCGA) and large-scale circulating miRNA profiling studies. To fill this void, we developed CancerMIRNome, a comprehensive database for the interactive analysis and visualization of miRNA expression profiles based on 10,998 samples from 33 TCGA projects and 21,993 samples from 40 public circulating miRNome datasets. A series of cutting-edge bioinformatics tools and machine learning algorithms have been packaged in CancerMIRNome, allowing for the pan-cancer analysis of a miRNA of interest across multiple cancer types and the comprehensive analysis of miRNome profiles to identify dysregulated miRNAs and develop diagnostic or prognostic signatures. The data analysis and visualization modules will greatly facilitate the exploit of the valuable resources and promote translational application of miRNA biomarkers in cancer. The CancerMIRNome database is publicly available at http://bioinfo.jialab-ucr.org/CancerMIRNome.

bioinformatics↗

bioRxiv2020

H2O2/ABA signal pathway participates in the regulation of stomata opening of cucumber leaves under salt stress by putrescine

The stomatal-aperture is imperative for plant physiological metabolism. The function of polyamines (PAs) in stomatal regulation under stress environment largely remains elucidate. Herein, we investigated the regulatory mechanism of exogenous putrescine (Put) on the stomatal opening of cucumber leaves under salt stress. The results revealed that Put relieved the salt-induced photosynthetic inhibition of cucumber leaves by regulating stomatal-apertures. Put application increased hydrogen peroxide (H2O2) and decreased abscisic acid (ABA) content in leaves under salt stress. The inhibitors of diamine oxidase (DAO), polyamine oxidase (PAO), nicotinamide adenine dinucleotide phosphate oxidase (NADPH) are AG, 1,8-DO and DPI, respectively and pre-treatment with these inhibitors up-regulated key gene NCED of ABA synthase and down-regulated key gene GSHS of reduced glutathione (GSH) synthase. The content of H2O2 and GSH were decreased and ABA content was increased and its influenced trend is AG>1,8-DO>DPI. Moreover, the Put induced down-regulation of ABA content under salt stress blocked by treatment with H2O2 scavenger (DMTU) and GSH scavenger (CNDB). Additionally, the application of DMTU also blocked the increase of GSH content. Collectively, these results suggest that Put can regulate GSH content by promoting H2O2 generation through polyamine metabolic pathway, which inhibits ABA accumulation to achieve stomatal regulation under salt stress. HighlightExogenous putrescine alleviates photosynthesis inhibition in salt-stressed cucumber seedlings by regulating stomatal-aperture.

physiology↗

bioRxiv2020

A simple method for isolating high-quality RNA from kenaf containing high polysaccharide and polyphenol contents

The isolation of high-quality RNA from kenaf is crucial for genetic and molecular biology studies. However, high levels of polysaccharide and polyphenol compounds in kenaf tissues could irreversibly bind to and coprecipitate with RNA, which complicates RNA extraction. In the present study, we proposed a simplified, time-saving and low-cost extraction method for isolating high quantities of high-quality RNA from several different kenaf tissues. RNA quality was measured for yield and purity, and the proposed protocol yielded high quantities of RNA (10.1-12.9 μg/g·FW). Spectrophotometric analysis showed that A260/280 ratios of RNA samples were in the range of 2.11 to 2.13, and A260/230 ratios were in the range of 2.04-2.24, indicating that the RNA samples were free of polyphenols, polysaccharides, and protein contaminants after isolation. The method of RNA extraction presented here was superior to the conventional CTAB method in terms of RNA isolation efficiency and was more sample-adaptable and cost-effective than commercial kits. Furthermore, to confirm downstream amenability, the high-quality RNA obtained from this method was successfully used for RT-PCR, real-time RT-PCR and Northern blot analysis. We provide an efficient and low-cost method for extracting high quantities of high-quality RNA from plants that are rich in polyphenols and polysaccharides, and this method was also validated for the isolation of high-quality RNA from other plants.View Full Text

genetics↗

bioRxiv2020

Unique Proteomes Implicate Functional Specialization across Heterocysts, Akinetes, and Vegetative Cells in Anabaena cylindrica

In response to environmental changes, vegetative cells of Anabaena cylindrica can differentiate into two other cell types: a heterocyst for oxic N2-fixation, and an enlarged spore called akinete for stress survival. Akinetes normally differentiate from vegetative cells adjacent to heterocysts. Heterocysts inhibit nearby cells from differentiating into heterocysts but can induce adjacent cells to become akinetes, a rare embryogenetic induction in prokaryotes. The mechanism for a patterned differentiation in A. cylindrica has been little studied. Here, we isolated three types of cells from A. cylindrica to identify their proteomes using LC-MS/MS. A total of 1395 proteins were identified, including 664 proteins from akinetes, 751 proteins from heterocysts, and 1236 proteins from vegetative cells. There were 45 proteins (33 novel proteins) found exclusive to akinetes, 57 heterocyst-specific proteins (33 novel proteins), including nif gene products, and 485 proteins exclusively in vegetative cells. Our proteomic data suggest that akinetes, unlike the typical spores of bacteria, perform unique biochemical functions that collaborate with both heterocysts and vegetative cells. A HAVe model for collaboration among heterocysts, akinetes and vegetative cells is proposed to illustrate the metabolic network of cyanophycin and carbohydrates based on the distribution of their biosynthesis related proteins in three types of cells. Interestingly, cell division proteins, DNA replication proteins, some carboxysomal proteins including RuBisCO and proteins in photosystems I, II were found abundant in heterocysts, the non-dividing cells dedicated exclusively to oxic N2-fixation. The identification of the akinete and heterocyst proteomes enables the pursuit of genetic studies into the patterned differentiation of akinetes and heterocysts.

microbiology↗

bioRxiv2020

Structural Consequences of the Villin Headpiece Interaction with a Carbon Nitride Polyaniline (C3N) Nanosheet

Carbon nitride polyaniline (C3N) nanosheets shared a similar structure with graphene and have been utilized in biomedical applications since its recent successful synthesis. However, limited information was known about the interaction of this next-generation nanomaterial with biomolecules, which might hamper its applications in living tissues. Here, by using all-atom molecular dynamics (MD) simulations, we investigated the interaction between a C3N nanosheet and the prototypical protein villin headpiece (HP35), in order to identify the mechanistic determinants of such interaction; this knowledge will provide guidelines about C3Ns biocompatibility. Our MD simulations revealed that the C3N-based nanomaterial caused the partial denaturation of HP35 once the protein was bound on its surface. That is, upon adsorption, we observed the loss of the proteins interior hydrogen bonds and the native contacts, which were related with unwinding events in the proteins helices. The protein/C3N nanosheet interacting process was dominated by vdW contributions to the energy and the stepwise changes observed in the values of this energy term suggested a gradual unfolding pattern of HP35 during the absorption event. Furthermore, we also found that the interaction energy showed a linear correlation with the native Q ratio of HP35, suggesting that the degree of HP35 unfolding was linearly time-dependent to the interaction energy. Our findings shed light on the underlying molecular mechanism of the potential consequences of C3N-based nanostructures to proteins, which might delineate the future applications of these nanomaterials in biomedicine.

biophysics↗

bioRxiv2020

Membrane Insertion of MoS2 Nanosheets: Fresh vs. Aged

Fresh two-dimensional (2D) molybdenum disulfide (MoS2) can absorb the hydrocarbon contamination from the ambient air and cause surface aging. Thus, understanding how the surface aging process of MoS2 affects the interaction with biomolecules is crucial for its applications in the biomedical field. Here, we employed atomistic molecular dynamics simulations to investigate the interactions of fresh and aged MoS2 nanosheets with POPE lipid membranes. Our results show that even though both the fresh and aged MoS2 nanosheets are capable of spontaneous insertion into the POPE bilayer membrane, the fresh MoS2 nanosheet displays significantly more robust interaction than the aged one. The potential mean force (PMF) calculations further confirm that the fresh MoS2 nanosheet is more energetically favorable than the aged one in penetrating into the POPE lipid membranes, with the former having ~17 kJ/mol stronger binding affinity than the later. This work provides a deeper understanding of the surface-aging-dependent interaction of MoS2 nanosheet with biomolecules, which might help the design of better MoS2-based nanodevices with appropriate surface properties.

biophysics↗

bioRxiv2020

Structure Basis for Inhibition of SARS-CoV-2 by the Feline Drug GC376

The pandemic of SARS-CoV-2 coronavirus disease-2019 (COVID-19) caused by SARS-COV-2 continues to ravage many countries in the world. Mpro is an indispensable protein for viral translation in SARS-CoV-2 and a potential target in high-specificity anti-SARS-CoV-2 drug screening. In this study, to explore potential drugs for treating COVID-19, we elucidated the structure of SARS-CoV-2 Mpro and explored the interaction between Mpro and GC376, an antiviral drug used to treat a range of coronaviruses in Feline via inhibiting Mpro. The availability and safety of GC376 were proved by biochemical and cell experiments in vitro. We determined the structure of an important protein, Mpro, in SARS-CoV-2, and revealed the interaction of GC376 with the viral substrate and inhibition of the catalytic site of SARS-CoV-2 Mpro.

biophysics↗

bioRxiv2020

Extended Application of Genomic Selection to Screen Multi-Omics Data for Prognostic Signatures of Prostate Cancer

Prognostic tests using expression profiles of several dozen genes help provide treatment choices for prostate cancer (PCa). However, these tests require improvement to meet the clinical need for resolving overtreatment which continues to be a pervasive problem in PCa management. Genomic selection (GS) methodology, which utilizes whole-genome markers to predict agronomic traits, was adopted in this study for PCa prognosis. We leveraged The Cancer Genome Atlas (TCGA) database to evaluate the prediction performance of six GS methods and seven omics data combinations, which showed that the Best Linear Unbiased Prediction (BLUP) model outperformed the other methods regarding predictability and computational efficiency. Leveraging the BLUP-HAT method, an accelerated version of BLUP, we demonstrated that using expression data of a large number of disease-relevant genes and with an integration of other omics data (i.e., miRNAs) significantly increased outcome predictability when compared with panels consisting of small numbers of genes. Finally, we developed a novel stepwise forward selection BLUP-HAT method to facilitate searching multi-omics data for predictor variables with prognostic potential. The new method was applied to the TCGA data to derive mRNA and miRNA expression signatures for predicting relapse-free survival of PCa, which were validated in six independent cohorts. This is a transdisciplinary adoption of the highly efficient BLUP-HAT method and its derived algorithms to analyze multi-omics data for PCa prognosis. The results demonstrated the efficacy and robustness of the new methodology in developing prognostic models in PCa, suggesting a potential utility in managing other types of cancer.

bioinformatics↗

bioRxiv2020

Linking phenotype, genotype and ecology: antimicrobial resistance in the zoonotic pathogen Streptococcus suis

Antimicrobial resistance (AMR) is among the gravest threats to human health and food security worldwide. Pigs receive more antimicrobials than most other livestock, and are a known source of zoonotic disease. We studied AMR in Streptococcus suis, a commensal found in most pigs, but which can also cause serious disease in both pigs and humans. We obtained replicated measures of Minimum Inhibitory Concentration (MIC) for 16 antibiotics, across a panel of 678 isolates, from the major pig-producing regions of the world. For several drugs, there was no natural separation into "resistant" and "susceptible", highlighting the need to treat MIC as a quantitative trait. We found differences in MICs between countries, consistent with their patterns of antimicrobial usage. AMR levels were high even for drugs not used to treat S. suis, with many multi-drug resistant isolates. And similar levels of resistance were found in pigs and humans from zoonotic regions. We next used whole genome sequences for each isolate to identify 43 candidate resistance determinants, 22 of which were novel in S. suis. The presence of these determinants explained most of the variation in MIC. But there were also complications, including epistatic interactions, where known resistance alleles had no effect in some genetic backgrounds. Beta-lactam resistance involved many variants of small effect, appearing in a characteristic order. Our results confirm the potential for genomic data to aid in the fight against AMR, but also demonstrate that it cannot be tackled one species or one drug at a time.

microbiology↗

bioRxiv2020

Tumor -Associated MUC1 Regulates TGF-β Signaling and Function in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDA) is one of the most lethal human cancers. Transforming Growth Factor Beta (TGF-{beta}) is a cytokine that switches from a tumor-suppressor to a tumor promoter throughout tumor development, by a yet unknown mechanism. Tumor associated MUC1 (tMUC1) is aberrantly glycosylated and overexpressed in >80% of PDAs and is associated with poor prognosis. The cytoplasmic tail of MUC1 (MUC1-CT) interacts with other oncogenic proteins promoting tumor progression and metastasis. We hypothesize that tMUC1 levels regulate TGF-{beta} functions in PDA in vitro and in vivo. We report that high-tMUC1 expression positively correlates to TGF-{beta}RII and negatively to TGF-{beta}RI receptors. In response to TGF-{beta}1, high tMUC1 expressing PDA cells undergo c-Src phosphorylation, and activation of the Erk/MAPK pathway; while low tMUC1 expressing cells activate the Smad2/3 pathway, enhancing cell death. Correspondingly, mice bearing tMUC1-high tumors responded to TGF-{beta}1 neutralizing antibody in vivo showing significantly retarded tumor growth. Analysis of clinical data from TCGA revealed significant alterations in gene-gene correlations in the TGF-{beta} pathway in tMUC1 high versus tMUC1 low samples. This study deepens our understanding of tMUC1-regulated TGF-{beta}s paradoxical function in PDA and establishes tMUC1 as a potential biomarker to predict response to TGF-{beta}-targeted therapies.

cancer biology↗

bioRxiv2020

Cryo-EM structures of inactive and Gi-coupled GABAB heterodimer

Metabotropic GABAB G protein-coupled receptor functions as a mandatory heterodimer of GB1 and GB2 subunits and mediates inhibitory neurotransmission in the central nervous system. Each subunit is composed of the extracellular Venus flytrap (VFT) domain and transmembrane (TM) domain. Here we present cryo-EM structures of human full-length heterodimeric GABAB receptor in the antagonist-bound inactive state and in the active state complexed with agonist and positive allosteric modulator in the presence of Gi1 protein at a resolution range of 2.8-3.0 [A]. Cryo-EM analysis of the activated-GABAB-Gi1 complex revealed that Gi1 couples to the activated receptor primarily in three major conformations, one via GB1 TM and two via GB2 TM, respectively. Our structures reveal that agonist binding stabilizes the closure of GB1 VFT, which in turn triggers a rearrangement of TM interfaces between two subunits from TM3-TM5/TM3-TM5 in the inactive state to TM6/TM6 in the active state and finally induces the opening of intracellular loop 3 and synergistically shifting of TM3, 4 and 5 helices in GB2 TM domain to accommodate the 5-helix of Gi1. These results provide a structural framework for understanding class C GPCR activation and a rational template for allosteric modulator design targeting dimeric interface of GABAB receptor.

molecular biology↗

bioRxiv2020

A general model to explain repeated turnovers of sex determination in the Salicaceae

Dioecy, the presence of separate sexes on distinct individuals, has evolved repeatedly in multiple plant lineages. However, the specific mechanisms through which sex systems evolve and their commonalities among plant species remain poorly understood. With both XY and ZW sex systems, the family Salicaceae provides a system to uncover the evolutionary forces driving sex chromosome turnovers. In this study, we performed a genome-wide association study to characterize sex determination in two Populus species, P. euphratica and P. alba. Our results reveal an XY system of sex determination on chromosome 14 of P. euphratica, and a ZW system on chromosome 19 of P. alba. We further assembled the corresponding sex determination regions, and found that their sex chromosome turnovers may be driven by the repeated translocations of a Helitron-like transposon. During the translocation, this factor may have captured partial or intact sequences that are orthologous to a type-A cytokinin response regulator gene. Based on results from this and other recently published studies, we hypothesize that this gene may act as a master regulator of sex determination for the entire family. We propose a general model to explain how the XY and ZW sex systems in this family can be determined by the same RR gene. Our study provides new insights into the diversification of incipient sex chromosome in flowering plants by showing how transposition and rearrangement of a single gene can control sex in both XY and ZW systems.

genomics↗

bioRxiv2020

Generation of multi-transgenic pigs using PiggyBac transposons co-expressing pectinase, xylanase, cellulase?β-1.3-1.4-glucanase and phytase

The current challenges facing the pork industry are to maximize feed efficiency and minimize fecal emissions. Unlike ruminants, pigs lack a number of digestive enzymes like pectinase, xylanase, cellulase, {beta}-1.3-1.4-glucanase and phytase to hydrolyze the cell walls of grains to release endocellular nutrients into their digestive tracts. Herein, we synthesized multiple cellulase and pectinase genes derived from lower organisms and then codon optimized these genes to be expressed in pigs. These genes were then cloned into our previously optimized XynB (xylanase)- EsAPPA (phytase) bicistronic construct. We then successfully generated transgenic pigs that expressed four enzymes (Pg7fn (pectinase), XynB (xylanase), EsAPPA (phytase) and TeEGI (cellulase and {beta}-glucanase)) using somatic cell cloning. Expression of these genes was parotid gland specific. Enzymatic assays using the saliva of these founders demonstrated high levels of phytase (2.0~3.4 U/mL) and xylanase (0.25~0.42 U/mL) activity, but low levels of pectinase (0.06~0.08 U/mL) activity. These multi-transgenic pigs are expected to contribute to enhance feed utilization and reduce environmental impact.

genetics↗

bioRxiv2020

The influence of insulin therapy on measurements of optical coherence tomography parameters in diabetic patients without retinopathy

PurposeTo determine whether there was a change in the fundus of the eye in diabetic patients without retinopathy after insulin therapy. MethodsThe diabetic patients without retinopathy were included in this study. A swept-source optical coherence tomography/angiography (SS-OCT/A) was used to obtain the measurements of macular retinal nerve fibre layer (mRNFL) thickness, ganglion cell-inner plexiform layer (GC-IPL) thickness, retinal thickness (RT), macular choroidal thickness (MCT), peripapillary retinal nerve fibre layer (pRNFL) thickness, peripapillary choroidal thickness (PCT), and perfused vascular density (PVD). Univariable and multivariable regression analyses were performed to explore the influence of insulin use on measurements of OCT/A. ResultsA total of 1140 patients used insulin (using group), and 126 patients did not use insulin (without group). The average MCT of the using group was 171.3{+/-}67.8 m, which was thinner than that in the without group (190.2{+/-}74.7 m) (P=0.012). The average PVD of the using group (48.0{+/-}2.1 m) was less than that in the without group (48.7{+/-}2.1 m) (P<0.001). After adjusting for age, gender, axial length, duration, HbA1c, systolic blood pressure, diastolic blood pressure, cholesterol, serum creatinine, insulin use was significantly associated with thinner MCT (beta=-16.12m; 95%CI:-29.42, -2.81m; P= 0.018) and lower PVD (beta=-0.79; 95%CI: -1.22, -0.36; P<0.001). ConclusionThe use of insulin by diabetic patients without retinopathy might decrease the MCT and PVD compared to patients who did not use insulin, which helps to better understanding the role of insulin use on higher risk for diabetic retinopathy.

physiology↗

bioRxiv2019

An epigenetic LTR-retrotransposon insertion in the upstream region of BnSHP1.A9 controls quantitative pod shattering resistance in Brassica napus

Seed loss resulting from pod shattering is a major problem in oilseed rape (Brassica napus L.) production worldwide. However, the molecular mechanisms underlying pod shatter resistance are not well understood. Here we show that the pod shatter resistance at quantitative trait locus, qSRI.A9.1 is controlled by a SHATTERPROOF1 (SHP1) paralog in B. napus (BnSHP1.A9). Expression analysis by quantitative RT-PCR showed that BnSHP1.A9 was specifically expressed in flower buds, flowers and developing siliques in the oilseed rape line (R1) carrying the qSRI.A9.1 allele with negative effect, but not expressed in any tissue of the line (R2) carrying the positive effect qSRI.A9.1 allele. Transgenic plants constitutively expressing BnSHP1.A9 alleles from pod resistant and pod shattering parental lines showed that both alleles are responsible for pod shattering via promoting lignification of enb layer, which indicated allelic difference of BnSHP1.A9 gene per se is not the causal factor of the QTL. The upstream sequence of BnSHP1.A9 in the promotor region harboring highly methylated long terminal repeat retrotransposon insertion (LTR, 4803bp) in R2 repressed the expression of BnSHP.A9, and thus contributed to the positive effect on pod shatter resistance. Genetic and association analysis revealed that the copia LTR retrotransposon based marker BnSHP1.A9-R2 can be used for breeding for pod shatter resistant varieties and reducing the loss of seed yield in oilseed rape.

genetics↗

bioRxiv2019

CRISPR/Cas9-mediated integration of large transgene into pig potential safe harbor

Clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (Cas9) is a precise genome manipulating tool which can produce targeted gene mutations in various cells and organisms. Although CRISPR/Cas9 can efficiently generate gene knock-out, the gene knock-in efficiency mediated by homology-directed repair (HDR) remains low, especially for large fragment integration. In this study, we established an efficient method for CRISPR/Cas9-mediated integration of large transgene cassette carrying salivary gland-expressing multiple digestion enzymes ({approx} 20 kbp) in CEP112 locus in pig fetal fibroblasts. Our results showed that using homologous donor with a short left arm and a long right arm yielded the best CRISPR/Cas9-mediated knock-in efficiency, and the targeting efficiency in potential safe harbor CEP112 locus are higher than ROSA26 locus. The CEP112 knock-in cell lines were used as nuclear donors for somatic cell nuclear transfer to create genetically modified pigs. We found that knock-in pig (705) successfully expressed three microbial enzymes ({beta}-glucanase, xylanase, and phytase) in salivary gland, suggesting potential safe harbor CEP112 locus supports exogenous genes expression by a tissue-specific promoter. In summary, we successfully targeted CEP112 locus using our optimal homology arm system for precise modification of pigs, and established a modified pig model for foreign digestion enzyme expression in saliva.

bioengineering↗