Biology subjects

Liu, D.

Publications and source records attributed to Liu, D..

At least 289 records · Page 16Linked to original sources

bioRxiv2022

Genome-scale mRNA transcriptomic insights into the mature growth dynamic of Cigar tobacco leaves

The harvest time is a key factor for cigar leaves with high quality, which varies greatly depending on the environment. Here, we performed a genome-scale mRNA transcriptomic analysis on the cigar cultivar CX-26 (Nicotiana tabacum L.) to evaluate the relationship between gene expression and growth state. The leaves were harvested with 67 (T1), 71(T2) and 75 (T3)-day growth. A total of 80,502 genes were detected in the CX-26 leaves, of which 64,611 genes were annotated on the reference genome. Principal component analysis showed that T1 and T2 leaves had a high overlapping pattern, while T3 leaves were distinct. Indeed, T1 and T2 leaves had fewer differential expressing genes (DEGs), while T3 leaves had 26,456 DGEs from T2 leaves, supporting the distinct growth of T3 leaves. GO annotations mainly enriched the photosynthesis-related metabolic process, catalytic activity and binding biological processes. KEEG analysis identified the key pathways including photosynthesisantenna proteins, plant hormone/MAPK signaling pathway and plant-pathogen interaction. The maturity regulation and defense response-associated hormones abscisic acid and jasmonate acid were higher in the T3 leaves than that in T1 and T2 leaves confirming the KEEG analysis. Furthermore, several photosynthesis-related enzymes and a transcription factor were highlighted in the gene regulatory network, which might regulate the dynamics of carbohydrate metabolism, lipid metabolism and energy metabolism. In summary, our study provides insight into the growth state of CX-26 cigar leaves.

plant biology↗

bioRxiv2022

Global mosquito virome profiling and mosquito spatial diffusion pathways revealed by marker-viruses

Mosquitoes are vectors of numerous emergence and reemergence of mosquito-borne diseases, leading to an overwhelming global challenge. The boom in metagenomic studies promoted the increase of mosquito viruses being described, and studies from different regions of the world showed that mosquitoes harbor abundant and diverse viromes. However, there is still a lack of large-scale systematic comparison of viromes among various ecological factors such as the mosquito species/genera, location, etc, and consistent patterns associated with these factors are not clear. Here, we provide an overview of virome profiling that integrated the perspective of mosquito genus, locations, and climates based on the global scale, and redefined the core-virome. Our results also further implicate some mosquito-associated viruses strongly associated with the ecological factors and highlighted the evidence of mosquitoes cross-regional movements by the candidate marker viruses. The study may be helpful in gaining new insights into strategies to prevent arbovirus epidemics.

microbiology↗

bioRxiv2022

Study on the mechanism of HE4 in hyperoxia-induced alveolar damage in rats

ObjectiveThis study investigated the mechanism of human epididymis protein 4 (HE4) in hyperoxia-induced alveolar damage in rats. MethodsThe pathological changes of SD rat lung tissue were detected by hematoxylin-eosin staining. Plasma protein levels were measured by enzyme-linked immunosorbent assay (ELISA). The expression of mRNA was detected by real-time RT-PCR. ResultsHyperoxia intervention within 7 days could induce acute lung injury in neonatal SD rats. Hyperoxia induction can increase HE4, MMP9 and TIMP1 in plasma and tissue of neonatal SD rats. By overexpressing and silencing HE4 gene in neonatal rat primary alveolar type II epithelial cells, we found that HE4 protein activates the phosphorylation of ERK and p65, activates the downstream MMP9 signaling pathway, inhibits MMP9 mRNA expression, inhibits protein activity, and reduces COLI degradation, increases collagen secretion, promoting matrix remodeling and fibrosis. ConclusionHE4 mediates the pathophysiological process of hyperoxia-induced lung injury in rats through ERK, MMP9 and TIMP1 signaling pathways. HE4 overexpression mediates lung basal remodeling and lung injury.

zoology↗

bioRxiv2022

Designing a Minimal Artificial Glycolytic Pathway

The canonical glycolysis generates two molecules of acetyl-coenzyme A (acetyl-CoA) from one glucose through eleven cascade biochemical reactions. Here, we designed and constructed a Minimal Artificial Glycolytic (MAG) pathway consisting of only three types of biochemical reactions, with phosphoketolase as the core, combined with phosphatase and isomerase as auxiliary enzymes. It could theoretically achieve a 100% carbon yield to acetyl-CoA from any monosaccharide by integrating one-carbon condensation reaction. We tested the MAG pathway in vitro and in vivo, demonstrating the catabolism of typical C1-C6 carbohydrates to acetyl-CoA with yields from 82% to 95%. This novel glycolytic pathway provides a promising route for biomanufacturing with stoichiometric productivity from multiple carbon sources in the future.

synthetic biology↗

bioRxiv2022

Discovery of an alternate mechanism for the inhibition of particulate guanylyl cyclases by the natriuretic peptide 'clearance' receptor

The cardiac natriuretic peptides (NPs) control pivotal physiological actions such as fluid and electrolyte balance, cardiovascular homeostasis, and adipose tissue metabolism by activating their receptor enzymes (NPRA and NPRB). These receptors are homodimers that generate intracellular cyclic guanosine monophosphate (cGMP). The NP receptor NPRC, nicknamed the clearance receptor, lacks a guanylyl cyclase domain; instead, it can bind the NPs to internalize and degrade them. The conventional paradigm is that by competing for and internalizing NPs, NPRC blunts the ability of NPs to signal through NPRA and NPRB. Here we show another previously unknown mechanism by which NPRC can interfere with the cGMP signaling function of the NP receptors. By forming a heterodimer with monomeric NPRA or NPRB, NPRC can prevent the formation of a functional guanylyl cyclase domain and thereby suppress cGMP production in a cell-autonomous manner. Significance StatementNatriuretic peptides (NP) are hormones that are established regulators of vascular and cardiac function, in part through their regulation of fluid and electrolyte balance. NPs signal through particulate guanylyl cyclases (NPRA and NPRB), which are homodimeric membrane-bound receptor enzymes that generate cGMP upon NP binding. Additionally, a silent NP receptor (NPRC) lacks the guanylyl cyclase domain and is a negative regulator of NP signaling. It has been demonstrated that NPRC undergoes internalization and recycling and thus removes NPs, thereby blunting activation of the guanylyl cyclase-containing receptors. Here we show an additional mechanism by which NPRC inhibits NP signaling. Our results show that NPRC can directly interact with NPRA and NPRB, forming non-functional receptor heterodimers with NPRA and NPRB, thereby abrogating NP-evoked cGMP production. This finding establishes another novel mechanistic role for NPRC.

biochemistry↗

bioRxiv2022

SE(3) Equivalent Graph Attention Network as an Energy-Based Model for Protein Side Chain Conformation

Protein design energy functions have been developed over decades by leveraging physical forces approximation and knowledge-derived features. However, manual feature engineering and parameter tuning might suffer from knowledge bias. Learning potential energy functions fully from crystal structure data is promising to automatically discover unknown or high-order features that contribute to the proteins energy. Here we proposed a graph attention network as an energy-based model for protein conformation, namely GraphEBM. GraphEBM is equivariant to the SE(3) group transformation, which is the important principle of modern machine learning for molecules-related tasks. GraphEBM was benchmarked on the rotamer recovery task and outperformed both Rosetta and the state-of-the-art deep learning based methods. Furthermore, GraphEBM also yielded promising results on combinatorial side chain optimization, improving 22.2%{chi} 1 rotamer recovery to the PULCHRA method on average.

bioinformatics↗

bioRxiv2022

Enhancer Reprogramming in Melanoma Immune Checkpoint Therapy Resistance

Immune checkpoint blockade (ICB) therapy has improved long-term survival for patients with advanced melanoma. However, there is critical need to identify potential biomarkers of response and actionable strategies to improve response rates. Through generation and analysis of 148 chromatin modification maps for 36 melanoma samples from patients treated with anti-PD- 1, we identified significant enrichment of active enhancer states in non-responders at baseline. Analysis of an independent cohort of 20 samples identified a set of 437 enhancers that predicted response to anti-PD-1 therapy (Area Under the Curve of 0.8417). The activated non-responder enhancers marked a group of key regulators of several pathways in melanoma cells (including c- MET, TGF{beta}, EMT and AKT) that are known to mediate resistance to ICB therapy and several checkpoint receptors in T cells. Epigenetic editing experiments implicated involvement of c-MET enhancers in the modulation of immune response. Finally, inhibition of enhancers and repression of these pathways using bromodomain inhibitors along with anti-PD-1 therapy significantly decreased melanoma tumor burden and increased T-cell infiltration. Together, these findings identify a potential enhancer-based biomarker of resistance to anti-PD-1 and suggest enhancer blockade in combination with ICB as a potential strategy to improve responses.

cancer biology↗

bioRxiv2022

β1-adrenergic receptor on pyramidal neurons of mPFC regulates METH-preferred behaviors in METH-sired male mice

Paternal abuse of drugs, such as methamphetamine (METH), elevates the risk of developing addiction in subsequent generations, however, its underlying molecular mechanism remains poorly understood. Male adult mice (F0) were exposed to METH for 30 days, followed by mating with naive female mice to create the first-generation mice (F1). When growing to adulthood, F1 were subjected to conditioned place preference (CPP) test. Subthreshold dose of METH, insufficient to induce CPP normally, were used in F1 (METHF1). Selective antagonist (betaxolol) for {beta}1-adrenergic receptor (ADRB1) or its knocking-down virus were administrated into mPFC to regulate ADRB1 function and expression on CaMKII-positive neurons. METH-sired male F1 acquired METHF1-induced CPP, indicating that paternal METH exposure induce higher sensitivity to METH in male F1. Compared with saline (SAL)-sired male F1, CaMKII-positive neuronal activity was normal without METHF1, but strongly evoked after METHF1 treatment in METH-sired male F1 during adulthood. METH-sired male F1 had higher ADRB1 levels without METHF1, which was kept at higher levels after METHF1 treatment in mPFC. Either inhibiting ADRB1 function with betaxolol, or knocking-down ADRB1 level on CaMKII-positive neurons (ADRB1CaMKII) with virus transfection efficiently suppressed METHF1-evoked mPFC acyivation, and ultimately blocked METHF1-induced CPP in METH-sired male F1. In the process, the p-ERK1/2 and {Delta}FosB may be potential subsequent signals of mPFC ADRB1CaMKII. The mPFC ADRB1CaMKII mediates paternal METH exposure-induced higher sensitivity to drug addiction in male offspring, raising a promising pharmacological target for predicting or treating transgenerational addiction. HIGHLIGHTSO_LIPaternal methamphetamine (METH) exposure induces higher sensitivity to METH in male F1 during adulthood, accompanied with higher ADRB1 level in mPFC. C_LIO_LIMETH use in F1 (METHF1) evokes more CaMKII-positive neurons in mPFC of METH-sired than saline-sired male F1. C_LIO_LIInhibiting ADRB1 function or knocking-down ADRB1 level on CaMKII-positive neurons (ADRB1CaMKII) efficiently suppresses METHF1-evoked mPFC activation, and ultimately rescues transgenerational susceptibility to addiction in male F1. C_LI

neuroscience↗

bioRxiv2022

Osteocytes regulate organismal senescence of bone and bone marrow

The skeletal system contains a series of sophisticated cellular lineages arisen from the mesenchymal stem cells (MSC) and hematopoietic stem cells (HSC), that determine the homeostasis of bone and bone marrow. Here we reasoned that osteocyte may exert a function in regulation of these lineage cell specifications and tissue homeostasis. Using a mouse model of conditional deletion of osteocytes by the expression of diphtheria toxin subunit (DTA) in dentin matrix protein 1 (DMP-1) positive osteocytes, we demonstrated that partial ablation of DMP-1positive osteocytes caused severe sarcopenia, osteoporosis and degenerative kyphosis, leading to shorter lifespan in these animals. Osteocyte reduction altered mesenchymal lineage commitment resulting in impairment of osteogenesis and induction of osteoclastogensis. Single cell RNA sequencing further revealed that hematopoietic lineage was mobilized towards myeloid lineage differentiation with expanded myeloid progenitors, neutrophils and monocytes, while the lymphopoiesis was impaired with reduced B cells in the osteocyte ablation mice. The acquisition of a senescence-associated secretory phenotype (SASP) in both osteoprogenic and myeloid lineage cells was the underlying cause. Together, we showed that osteocytes play critical roles in regulating of lineage cell specifications in bone and bone marrow through mediation of organismal senescence.

cell biology↗

bioRxiv2022

Phosphorylation and ubiquitination independent endocytosis of BRI1

The brassinosteroid (BR) hormone and its plasma membrane receptor BR INSENSITIVE1 (BRI1) is one of the best-studied receptor-ligand pairs for understanding the interplay between receptor endocytosis and signaling in plants. BR signaling is mainly determined by the plasma membrane pool of BRI1, whereas BRI1 endocytosis ensures signal attenuation. Since BRs are ubiquitously distributed in the plant, the tools available to study BRI1 function without interference from endogenous BRs are limited. Here, we designed a BR-binding-deficient mutant based on protein sequence-structure analysis and homology modeling of BRI1 and its close homologues. This new tool allowed us to re-examine the BRI1 endocytosis and signal attenuation model. We show that despite decreased phosphorylation and ubiquitination, the BR-binding-deficient BRI1 was internalized similar to the wild type form. These results reinforce the hypothesis that BRI1 is internalized via parallel endocytic routes and machineries. In addition, BR-binding-deficient mutant provides opportunities to study non-canonical ligand-independent BRI1 functions.

plant biology↗

bioRxiv2022

Omics Imagification: Transforming High-throughput Molecular Representation of a Cell into an Image

Different omics profiles, depending on the underlying technology, encompass measurements of several hundred to several thousand molecules in a biological sample or a cell. This study develops upon the concept of "omics imagification" as a process of transforming a vector representing these numerical measurements into an image with a one-to-one relationship with the corresponding sample. The proposed imagification process transforms a high-dimensional vector of molecular measurements into a two-dimensional RGB image to enable holistic molecular representation of a biological sample and to improve the classification of different biological phenotypes using automated image recognition methods in computer vision. A transformed image represents 2D coordinates of molecules in a neighbour-embedded space representing molecular abundance and gene intensity. The proposed method was applied to a single-cell RNA sequencing (scRNA-seq) data to "imagify" gene expression profiles of individual cells. Our results show that a simple convolutional neural network trained on single-cell transcriptomics images accurately classifies diverse cell types outperforming the best-performing scRNA-seq classifiers such as support vector machine and random forest.

bioinformatics↗

bioRxiv2022

Genotyping, sequencing and analysis of 140,000 adults from the Mexico City Prospective Study

The Mexico City Prospective Study (MCPS) is a prospective cohort of over 150,000 adults recruited two decades ago from the urban districts of Coyoacan and Iztapalapa in Mexico City. We generated genotype and exome sequencing data for all individuals, and whole genome sequencing for 10,000 selected individuals. We uncovered high levels of relatedness and substantial heterogeneity in ancestry composition across individuals. Most sequenced individuals had admixed Native American, European and African ancestry, with extensive admixture from indigenous groups in Central, Southern and South Eastern Mexico. Native Mexican segments of the genome had lower levels of coding variation, but an excess of homozygous loss of function variants compared with segments of African and European origin. We estimated population specific allele frequencies at 142 million genomic variants, with an effective sample size of 91,856 for Native Mexico at exome variants, all available via a public browser. Using whole genome sequencing, we developed an imputation reference panel which outperforms existing panels at common variants in individuals with high proportions of Central, South and South Eastern Native Mexican ancestry. Our work illustrates the value of genetic studies in populations with diverse ancestry and provides foundational imputation and allele frequency resources for future genetic studies in Mexico and in the United States where the Hispanic/Latino population is predominantly of Mexican descent.

genetics↗

bioRxiv2022

MB-SupCon: Microbiome-based predictive models via Supervised Contrastive Learning

Human microbiome consists of trillions of microorganisms. Microbiota can modulate the host physiology through molecule and metabolite interactions. Integrating microbiome and metabolomics data have the potential to predict different diseases more accurately. Yet, most datasets only measure microbiome data but without paired metabolome data. Here, we propose a novel integrative modeling framework, Microbiome-based Supervised Contrastive Learning Framework (MB-SupCon). MB-SupCon integrates microbiome and metabolome data to generate microbiome embeddings, which can be used to improve the prediction accuracy in datasets that only measure microbiome data. As a proof of concept, we applied MB-SupCon on 720 samples with paired 16S microbiome data and metabolomics data from patients with type 2 diabetes. MB-SupCon outperformed existing prediction methods and achieves high average prediction accuracies for insulin resistance status (84.62%), sex (78.98%), and race (80.04%). Moreover, the microbiome embeddings form separable clusters for different covariate groups in the lower-dimensional space, which enhances data visualization. We also applied MB-SupCon on a large inflammatory bowel disease study and observed similar advantages. Thus, MB-SupCon could be broadly applicable to improve microbiome prediction models in multi-omics disease studies.

bioinformatics↗

bioRxiv2022

Comprehensive Analysis of CRISPR Base Editing Outcomes for Multimeric Protein

Point mutations in the KCNJ13 gene cause an autosomal recessive, childhood blindness, Leber congenital amaurosis (LCA16) due to a loss-of-function Kir7.1 channel. In the present study, we investigated the etiology of LCA16 caused by a KCNJ13 missense mutation (c.431T>C, p.Leu144Pro) and explored the activity of two cytosine base editors mRNAs (CBEs, BE4max-WTCas9, and evoCDA-SpCas9-NG) as a proof-of-concept therapeutic option. We observed the KCNJ13-related retinopathy phenotype in patients harboring L144P mutation. Our in-silico prediction and in vitro validation demonstrated that L144P mutation affects the channel function. We observed high on-target efficiency in the CBEs treated L144P mutant gene expressing HEK-293 cells. Strikingly, our evaluation of base editing efficacy using electrophysiology showed negligible channel function. We found that the editing bystander Cs in the protospacer region led to a missense change (L143F) in evoCDA edited cells and only silent changes in BE4max edited cells. Upon investigation of the effect of the synonymous codon, our extended analysis revealed distortion of mRNA structure, altered half-life, and/or low abundance of the cognate tRNA. We propose that KCNJ13-L144P mutation or other genes that share similar genetic complexity may be challenging to correct with the current generation of CRISPR base editors, and a combinational therapy using CRISPR base editors with a tighter editing window and requisite cognate-tRNA supplementation could be an alternative therapeutic approach to restore Kir7.1 channel function in LCA16 patients. Other options for hard-to-rescue alleles could employ homology-directed repair using CRISPR/Cas9 nucleases, Prime editing, and AAV-mediated gene augmentation.

genetics↗

bioRxiv2022

A library of promoter-gfp fusion reporters for studying systemic expression pattern of cyclic-di-GMP metabolism-related genes in Pseudomonas aeruginosa

The opportunistic pathogen Pseudomonas aeruginosa is an environmental microorganism, which is notorious for its resistance or tolerance to antibiotics due to the formation of biofilms. Cyclic diguanosine monophosphate (c-di-GMP) is a bacterial second messenger that plays critical roles in biofilm formation. P. aeruginosa contains 41 genes that encode enzymes to participate in the metabolism of c-di-GMP (biosynthesis or degradation), yet it lacks tools to investigate the systemic expression pattern of those genes. Here, we constructed a promoter-gfp transcriptional fusion reporters library that consists of 41 reporter plasmids. Each plasmid contains a promoter of corresponding c-di-GMP metabolism-related (CMR) genes from P. aeruginosa PAO1 strain, thus each promoter-Gfp fusion reporter can be used to detect the promotor activity as well as the transcription of corresponding gene. The promoters activity was tested in P. aeruginosa and Escherichia coli respectively. Among the 41 genes, the promoter of 26 genes showed activity in both P. aeruginosa and E. coli. The library was applied to determine the influence of different temperatures, growth media, and sub-inhibitory concentrations of antibiotics on transcriptional profile of the 41 CMR genes in P. aeruginosa. The results showed different growth conditions did impact different genes transcription, while the promoter activity of a few genes kept at the same level under several different growth conditions. In summary, we provided a promoter-gfp fusion reporters library for systemic monitoring or study of the regulation of CMR genes in P. aeruginosa and the functional promoters can also be used as a bio-brick for synthetic biology studies. ImportanceThe opportunistic pathogen P. aeruginosa can cause acute and chronic infections in humans and it is one of main pathogens in nosocomial infections. Biofilm formation is one of most important causes for P. aeruginosa to persist in hosts and evade immune and antibiotic attacks. c-di-GMP is an important second messenger to control biofilm formation. In P. aeruginosa, there are 41 genes that are predicted to participate in the making and breaking this dinucleotide. A major missing information in this field is the systemic expression profile of those genes in response to changing environment. Toward this goal, we constructed a promoter-gfp transcriptional fusion reporters library that consists of 41 reporter plasmids, each of which contains a promoter of corresponding c-di-GMP metabolism-related genes in P. aeruginosa. This library provides a helpful tool to understand the complex regulation network related to c-di-GMP and to discover potential therapeutic targets.

microbiology↗

bioRxiv2022

Longitudinal white matter alterations in SIVmac239 infected rhesus monkeys with and without regular cART treatment

ObjectiveWe use the SIV-mac239 infected Chinese rhesus monkeys to longitudinally investigate white matters alterations with and without regular combined antiretroviral therapy (cART) treatment, and its relationship with clinical tests. Material and methodsDiffusion tensor imaging (DTI), CD4 T cell counts, and CD4/CD8 were obtained at baseline, 10 days, 4th week,12th week, 24th week, and 36th week post virus inoculation. postinfection (wpi). Microstructural properties were examined within 76 white matter defined by DTI-WM atlas for rhesus macaques. Corrections for multiple comparisons were performed using a false discovery rate (p < 0.05, FDR). Correlation analyses between imaging markers and clinical measures (CD4 T-cell counts, CD4/CD8 ratio) were determined using Pearsons correlations. ResultsIn our model, White matter alterations in SIV-infected macaques can be detected as soon as 4 weeks post inoculation in several brain regions. And with time proceeding, the cART can reverse, relieve, or even progressive effects. CD4 T-cell count is mainly associated with DTI metrics before the cART, whereas CD4/CD8 ratio was associated with white matter alteration with and without cART. ConclusionSIV-mac239 infection can be an idol modal to explore HIV induced HIV associated brain alterations, and the first group of white matter alterations was as soon as 4 weeks post inoculation in structure next to the periventricular area. As the time progressed, cART can bring different effect to each region, including reversed, relieved, and even progressive effects. In addition, these changes are closely linked to CD4/CD8 ratio even after cART. Importance

animal behavior and cognition↗

bioRxiv2022

Beyond the Euclidean brain: inferring non-Euclidean latent trajectories from spike trains

Neuroscience faces a growing need for scalable data analysis methods that reduce the dimensionality of population recordings yet retain key aspects of the computation or behaviour. To extract interpretable latent trajectories from neural data, it is critical to embrace the inherent topology of the features of interest: head direction evolves on a ring or torus, 3D body rotations on the special orthogonal group, and navigation is best described in the intrinsic coordinates of the environment. Accordingly, we recently proposed the manifold Gaussian process latent variable model (mGPLVM) to simultaneously infer latent representations on non-Euclidean manifolds and how neurons are tuned to these representations. This probabilistic method generalizes previous Euclidean models and allows principled selection between candidate latent topologies. While powerful, mGPLVM makes two unjustified approximations that limit its practical applicability to neural datasets. First, consecutive latent states are assumed independent a priori, whereas behaviour is continuous in time. Second, its Gaussian noise model is inappropriate for positive integer spike counts. Previous work in Euclidean LVMs such as GPFA has shown significant improvements in performance when modeling such features appropriately (Jensen et al., 2021). Here, we extend mGPLVM by incorporating temporally continuous priors over latent states and flexible count-based noise models. This improves inference on synthetic data, avoiding negative spike count predictions and discontinuous jumps in latent trajectories. On real data, we also mitigate these pathologies while improving model fit compared to the original mGPLVM formulation. In summary, our extended mGPLVM provides a widely applicable tool for inferring (non-)Euclidean neural representations from large-scale, heterogeneous population recordings. We provide an efficient implementation in python, relying on recent advances in approximate inference to e.g. fit 10,000 time bins of recording for 100 neurons in five minutes on a single GPU.

neuroscience↗

bioRxiv2022

Glucagon-Like Peptide-1 Receptor Activation Stimulates PKA-Mediated Phosphorylation of Raptor and this Contributes to the Weight Loss Effects of Liraglutide

The canonical target of the glucagon-like peptide-1 receptor (GLP-1R), Protein Kinase A (PKA), has been shown to stimulate mechanistic Target of Rapamycin Complex 1 (mTORC1) by phosphorylating the mTOR-regulating protein Raptor at Ser791 following {beta}-adrenergic stimulation. The objective of these studies is to test whether GLP-1R agonists similarly stimulate mTORC1 via PKA phosphorylation of Raptor at Ser791 and whether this contributes to the weight loss effect of the therapeutic GLP-1R agonist liraglutide. We measured phosphorylation of the mTORC1 signaling target ribosomal protein S6 in Chinese Hamster Ovary cells expressing GLP-1R (CHO-Glp1r) treated with liraglutide in combination with PKA inhibitors. We also assessed liraglutide-mediated phosphorylation of the PKA substrate RRXS*/T* motif in CHO-Glp1r cells expressing Myc-tagged wild-type (WT) Raptor or a PKA-resistant (Ser791Ala) Raptor mutant. Finally, we measured the body weight response to liraglutide in WT mice and mice with a targeted knock-in of PKA-resistant Ser791Ala Raptor. Liraglutide increased phosphorylation of S6 and the PKA motif in WT Raptor in a PKA-dependent manner but failed to stimulate phosphorylation of the PKA motif in Ser791Ala Raptor in CHO-Glp1r cells. Lean Ser791Ala Raptor knock-in mice were resistant to liraglutide-induced weight loss but not setmelanotide-induced (melanocortin-4 receptor-dependent) weight loss. Diet-induced obese Ser791Ala Raptor knock-in mice were not resistant to liraglutide-induced weight loss; however, there was weight-dependent variation such that there was a tendency for obese Ser791Ala Raptor knock-in mice of lower relative body weight to be resistant to liraglutide-induced weight loss compared to weight-matched controls. Together, these findings suggest that PKA-mediated phosphorylation of Raptor at Ser791 contributes to liraglutide-induced weight loss.

physiology↗