Biology subjects

Lin, P.

Publications and source records attributed to Lin, P..

54 records · Page 3Linked to original sources

bioRxiv2023

Engineered cytokine/antibody fusion proteins improve delivery of IL-2 to pro-inflammatory cells and promote antitumor activity

Progress in cytokine engineering is driving therapeutic translation by overcoming the inherent limitations of these proteins as drugs. The interleukin-2 (IL-2) cytokine harbors great promise as an immune stimulant for cancer treatment. However, the cytokines concurrent activation of both pro-inflammatory immune effector cells and anti-inflammatory regulatory T cells, its toxicity at high doses, and its short serum half-life have limited clinical application. One promising approach to improve the selectivity, safety, and longevity of IL-2 is complexation with anti-IL-2 antibodies that bias the cytokine towards the activation of immune effector cells (i.e., effector T cells and natural killer cells). Although this strategy shows therapeutic potential in preclinical cancer models, clinical translation of a cytokine/antibody complex is complicated by challenges in formulating a multi-protein drug and concerns about complex stability. Here, we introduce a versatile approach to designing intramolecularly assembled single-agent fusion proteins (immunocytokines, ICs) comprising IL-2 and a biasing anti-IL-2 antibody that directs the cytokines activities towards immune effector cells. We establish the optimal IC construction and further engineer the cytokine/antibody affinity to improve immune biasing function. We demonstrate that our IC preferentially activates and expands immune effector cells, leading to superior antitumor activity compared to natural IL-2 without inducing toxicities associated with IL-2 administration. Collectively, this work presents a roadmap for the design and translation of immunomodulatory cytokine/antibody fusion proteins. One Sentence SummaryWe developed an IL-2/antibody fusion protein that expands immune effector cells and shows superior tumor suppression and toxicity profile versus IL-2.

bioengineering↗

bioRxiv2023

A proximity-dependent biotinylation map of cytosol-facing organelle outer membrane proteome in living Arabidopsis cells

The cytosol-facing outer membrane (OM) of organelles communicates with other cellular compartments to exchange proteins, metabolites and signaling molecules. Cellular surveillance systems also target OM-resident proteins to control organellar homeostasis and ensure cell survival under stress. Using traditional approaches to discover OM proteins and identify their dynamically interacting partners remains challenging. In this study, we developed an OM proximity labeling (OMPL) system using biotin ligase-mediated proximity biotinylation to map the proximity proteome of the OMs of mitochondria, chloroplasts, and peroxisomes in living Arabidopsis (Arabidopsis thaliana) cells. We demonstrate the power of this system with the discovery of cytosolic factors and OM receptor candidates involved in local protein translation and translocation, membrane contact sites, and organelle quality control. This system also performed admirably for the rapid isolation of intact mitochondria and peroxisomes. Our data support the notion that TOM20-3 is a candidate for both a mitochondrial and a chloroplast receptor, and that PEX11D is a candidate for a peroxisome receptor for the coupling of protein translation and import. OMPL-generated OM proximity proteomes are valuable sources of candidates for functional validation and suggest directions for further investigation of important questions in cell biology.

cell biology↗

bioRxiv2022

Epigenetically silencing gluconeogenic enzyme PCK1 by EZH2 promotes renal tubulointerstitial fibrosis

Renal fibrosis is the common pathological pathway of various chronic kidney diseases (CKD) in progression to the end stage of renal failure. Impaired renal gluconeogenesis has been recently identified as a hallmark of CKD. The role of gluconeogenesis in renal fibrosis is currently unknown. Through RNA sequencing and cleavage under targets and tagmentation (CUT&Tag) sequencing analysis, we found that the phosphoenolpyruvate carboxykinase 1 (PCK1), a critical enzyme in gluconeogenesis, is negatively regulated by the methyltransferase enhancer of zeste homolog 2 (EZH2) in fibrotic kidneys, which was further confirmed by quantitative PCR, CUT&Tag and Western blotting analysis in unilateral ureteral obstruction (UUO) kidneys and renal cells. We further showed that pharmaceutical inhibition or conditional knockout of EZH2 increased PCK1 expression and attenuated renal fibrosis in two other mouse models. Moreover, the concentration of lactate, a glucogenic metabolic intermediate, was increased in mouse fibrotic kidneys, which was reduced by EZH2 inhibition. We further showed that glucose production was impaired in folic acid induced nephrotic mice and restored by EZH2 inhibition as assessed by pyruvate tolerance test. Importantly, the direct anti-gluconeogenesis effect of EZH2 on renal proximal epithelial cells was shown in human HK2 cells by analysis of gluconeogenic gene expression and production of glucose or lactate. Finally, inhibition of PCK1 by 3-mercaptopropionic acid abrogated the anti-fibrotic effect of EZH2 inhibitor in UUO kidneys. We conclude that EZH2 promotes renal tubulointerstitial fibrosis through epigenetic inhibition of PCK1. Our study suggests that therapeutic restoration of the impaired renal gluconeogenesis is beneficial to CKD patients. Translational StatementRenal fibrosis is the common pathological pathway of various chronic kidney diseases (CKD) in progression to the end stage of renal failure. Impaired renal gluconeogenesis has been recently identified as a hallmark of CKD. In this study, we found that the methyltransferase EZH2 is negatively correlated with the expression of the gluconeogenic enzyme PCK1 in fibrotic kidneys. Epigenetic inhibition of PCK1 by EZH2 promotes renal tubulointerstitial fibrosis. Our study indicates that renal gluconeogenesis in CKD can be epigenetically regulated and therapeutically targeted. Epigenetic restoration of renal gluconeogenesis is a potential therapeutic strategy to treat CKD patients with tubulointerstitial fibrosis.

molecular biology↗

bioRxiv2022

Gene expression as phenotype - Many small-step changes leading to little long-term phenotypic evolution

Unlike in genotypic evolution, there are few general rules governing phenotypic evolution with one of them being the small-step evolution. More specifically, natural selection tends to favor mutations of smaller phenotypic effects than of larger ones. This postulate can be viewed as a logical extension of Fishers Geometric Model (FGM). Testing this FGM postulate, however, is challenging as the test would require a large number of phenotypes, each with a clear genetic basis. For such a test, we treat the expression level of each gene as a phenotype. Furthermore, a mechanism of small-step expression evolution exists, namely via the control by microRNAs (miRNAs). Each miRNA in metazoans is known to weakly repress the expression of tens or hundreds of target genes. In our analysis of mammalian and Drosophila expression data, small step evolution via miRNA regulation happens frequently in long-term evolution. However, such small-step evolution does not lead to long-term phenotypic changes which would take too many such steps to accomplish. Furthermore, target site changes often cancel themselves out by continual gains and losses. The results suggest that the FGM postulate may be most appropriate for phenotypic fine-tuning near the expression optimum. In contrast, longterm expression evolution may occasionally take large steps (e.g., mutations in transcription factors) when big environmental shift happens. In another study (Lu et al. 2021), we further show how the small-step evolution of expression phenotypes is a manifestation of miRNAs role in developmental canalization. In conclusion, the rules of phenotypic evolution may depend crucially on the genetics of the phenotype, rather than its metric properties.

evolutionary biology↗

bioRxiv2022

mRNA-based vaccines against SARS-CoV-2 do not stimulate interferon stimulatory gene expression in individuals affected by Aicardi Goutieres Syndrome.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses threats to individuals with rare disease, in part because so little is known about the impact of COVID-19 infection and vaccination safety in rare disease populations. Of particular concern, given the overlap in disease manifestations and interferon dysregulation, are a group of heritable autoinflammatory conditions called type I interferonopathies. The most common of these, Aicardi Goutieres Syndrome (AGS), is caused by altered nucleic acid metabolism and sensing, resulting in additional concerns surrounding the use of mRNA vaccination approaches. To determine whether mRNA vaccines induce an interferon response in AGS, we applied mRNA SARS-CoV-2 vaccines to whole blood samples and assessed internalization and interferon signaling gene expression responses to the mRNA. In all cases (11 AGS and 11 control samples), interferon signatures did not significantly increase from baseline, regardless of baricitinib treatment status in the AGS subjects, and were even decreased, when using codon optimized SARS-CoV-2 di-proline modified spike sequence (S2P). Internalization of S2P in human dendritic cells was verified by Western Blot, and in control and AGS blood cells was verified by Luciferase activity. Although numbers of tested samples in this rare disease are small, based on these findings, we suggest that COVID vaccination is unlikely to directly stimulate the interferon signaling gene expression in AGS patients via response to mRNA internalization. The in vitro nature of this study cannot exclude an exaggerated interferon response to spike protein production at a systemic level in individuals with a primary heritable interferonopathy. In the context of continued SARS-CoV-2 spread in the community, we do not recommend withholding vaccination in this rare disease group. However, we recommend that vaccinations for AGS patients are provided in a controlled setting with appropriate observation and used with caution in individuals with prior vaccine associated adverse events.

immunology↗

bioRxiv2022

gamma aminobutyrate (GAB) functions as a bioenergetic and signaling gatekeeper to control T cell inflammation

{gamma}-Aminobutyrate (GAB) is the biochemical form of {gamma}-aminobutyric acid (GABA) at physiological pH and functions as an essential neurotransmitter in the vertebrates central nervous system (CNS). Growing evidence suggests that GAB may also mediate intercellular communications to shape various physiological processes, including immune response. Beyond acting as a paracrine signaling molecule, how GAB metabolism is controlled to exert many distinct functions remains elusive. By an integrated analysis of the extracellular metabolome, stable isotope traced metabolic pathway analysis, and metabolic transcriptome, we revealed that GAB is one of the most abundant metabolites produced through glutamine and arginine catabolism in CD4+ T help 17 (TH17) and induced T regulatory (iTreg) cells. GAB functions as a bioenergetic and signaling gatekeeper by reciprocally controlling pro-inflammatory TH17 cell and anti-inflammatory iTreg cell differentiation through distinct mechanisms. The expression of 4-aminobutyrate aminotransferase (ABAT) funnels GAB, as an anaplerotic substrate, into the TCA cycle to maximize carbon allocation in promoting TH17 cell differentiation. By contrast, the absence of ABAT activities in iTreg cells enables GAB exporting to the extracellular environment and acting as an autocrine signaling metabolite to promote iTreg cell differentiation. Accordingly, genetic or pharmacological ablation of ABAT activity in T cells confers protection against experimental autoimmune encephalomyelitis (EAE) pathogenic progression. Conversely, genetic ablation of GABA(A) receptor in T cells deteriorates EAE pathogenic progression. Collectively, our results suggest that the cell-autonomous control exerted by GAB on CD4+ T cell is bimodal and consists of the sequential action of two discrete processes, ABAT-dependent mitochondrial anaplerosis and the receptor-dependent autocrine signaling response, both of which are required for a properly controlled T cell-mediated inflammation.

immunology↗

bioRxiv2021

Ribonucleotide Reductase Regulatory Subunit M2 as a Driver of Glioblastoma TMZ-Resistance through Modulation of dNTP Production

Glioblastoma (GBM) remains one of the most resistant and fatal forms of cancer. Previous studies have examined primary and recurrent GBM tumors, but it is difficult to study tumor evolution during therapy where resistance develops. To investigate this, we performed an in vivo single-cell RNA sequencing screen in a patient-derived xenograft (PDX) model. Primary GBM was modeled by mice treated with DMSO control, recurrent GBM was modeled by mice treated with temozolomide (TMZ), and during therapy GBM was modeled by mice euthanized after two of five TMZ treatments. Our analysis revealed the cellular population present during therapy to be distinct from primary and recurrent GBM. We found the Ribonucleotide Reductase gene family to exhibit a unique signature in our data due to an observed subunit switch to favor RRM2 during therapy. GBM cells were shown to rely on RRM2 during therapy causing RRM2-knockdown (KD) cells to be TMZ-sensitive. Using targeted metabolomics, we found RRM2-KDs to produce less dGTP and dCTP than control cells in response to TMZ (p<0.0001). Supplementing RRM2-KDs with deoxycytidine and deoxyguanosine rescued TMZ-sensitivity, suggesting an RRM2-driven mechanism of chemoresistance, established by regulating the production of these nucleotides. In vivo, tumor-bearing mice treated with the RRM2-inhibitor, Triapine, in combination with TMZ, survived longer than mice treated with TMZ alone (p<0.01), indicating promising clinical opportunities in targeting RRM2. Our data present a novel understanding of RRM2 activity, and its alteration during therapeutic stress as response to TMZ-induced DNA damage.

cancer biology↗

bioRxiv2021

When development is constantly but weakly perturbed - Canalization by microRNAs

Recent studies have increasingly pointed to microRNAs (miRNAs) as the agent of GRN (gene regulatory network) stabilization as well as developmental canalization against constant but small environmental perturbations. Since the complete removal of miRNAs is lethal, we construct a Dicer-1 knockdown line (dcr-1 KD) in Drosophila that modestly reduces all miRNAs. We hypothesize that flies with modest miRNA reductions will gradually deviate from the developmental norm, resulting in late-stage failures such as shortened longevity. In the optimal culture condition, the survival to adulthood is indeed normal in the dcr-1 KD line but, importantly, adult longevity is reduced by [~] 90%. When flies are stressed by high temperature, dcr-1 KD induces lethality earlier in late pupation and, as the perturbations are shifted earlier, the affected stages are shifted correspondingly. We further show that the developmental failure is associated with GRN aberration in the larval stages even before phenotypic aberrations become observable. Hence, in late stages of development with deviations piling up, GRN would be increasingly in need of stabilization. In conclusion, miRNAs appear to be the genomes solution to weak but constant environmental perturbations.

molecular biology↗

bioRxiv2021

CRISPR-Cas9 Screen Reveals PSMB3 Contributes to Gliomagenesis Through Proteasome-Dependent and Independent Mechanisms

Glioblastoma (GBM) is the most common adult malignant brain tumor, with a median survival of 21 months and a 100% recurrence rate. Even though many of the critical oncogenic drivers for GBM have been identified, the basis of gliomagenesis is still under investigation. To identify novel genes that contribute to GBM progression, we performed a genome-wide CRISPR-Cas9 knockout screen. We identified four previously unstudied genes - PSMB3, CHCHD4, SPDYE5, HSPA1 - which had elevated expression in cancer and demonstrated a significant positive correlation with respect to GBM growth and patient survival in vivo and patient datasets. Furthermore, overexpression of PSMB3 and HSPA5 in neural stem cells resulted in transformation to a cancer phenotype. Further investigation of PSMB3, a subunit of the proteasome, allowed us to identify both ubiquitin-mediated and non-ubiquitin-mediated mechanisms of oncogenesis. Ultimately, the data from our CRISPR screens suggests that these genes drive tumor progression, making them promising therapeutic targets for GBM.

cancer biology↗

bioRxiv2021

Homo-harringtonine (HHT) - A highly effective drug against coronaviruses and the potential for large-scale clinical applications

In the search for treatment schemes of COVID-19, we start by examining the general weakness of coronaviruses and then identify approved drugs attacking that weakness. The approach, if successful, should identify drugs with a specific mechanism that is at least as effective as the best drugs proposed and are ready for clinical trials. All coronaviruses translate their non-structural proteins ([~]16) in concatenation, resulting in a very large super-protein. Homo-harringtonine (HHT), which has been approved for the treatment of leukemia, blocks protein elongation very effectively. Hence, HHT can repress the replication of many coronaviruses at the nano-molar concentration. In two mouse models, HHT clears SARS-CoV-2 in 3 days, especially by nasal dripping of 40 ug per day. We also use dogs to confirm the safety of HHT delivered by nebulization. The nebulization scheme could be ready for large-scale applications at the onset of the next epidemics. For the current COVID-19, a clinical trial has been approved by the Ditan hospital of Beijing but could not be implemented for want of patients. The protocol is available to qualified medical facilities.

microbiology↗

bioRxiv2020

Development of intra-oral automated landmark recognition (ALR) for dental and occlusal outcome measurements

Previous studies embracing digital technology and automated methods of scoring dental arch relationships have shown that such technology is valid and accurate. To date, however there is no published literature on artificial intelligence and machine learning to completely automate the process of dental landmark recognition. This study aimed to develop and evaluate a fully automated system and software tool for the identification of landmarks on human teeth using geometric computing, image segmenting and machine learning technology. 239 digital models were used in the automated landmark recognition (ALR) validation phase, 161 of which were digital models from cleft palate subjects aged 5 years. These were manually annotated to facilitate qualitative validation. Additionally, landmarks were placed on 20 adult digital models manually by three independent observers. The same models were subjected to scoring using the ALR software and the differences (in mm) were calculated. All the teeth from the 239 models were evaluated for correct recognition by the ALR with a breakdown to find which stages of the process caused the errors. The results revealed that 1526 out of 1915 teeth (79.7%) were correctly identified, and the accuracy validation gave 95% confidence intervals for the geometric mean error of [0.285, 0.317] for the humans and [0.269, 0.325] for ALR - a negligible difference. It is anticipated that ALR software tool will have applications throughout Dentistry and anthropology and in research will constitute an objective tool for handling large datasets without the need for time intensive employment of experts to place landmarks manually.

bioinformatics↗

bioRxiv2020

Epitranscriptomic editing of the RNA N6-methyladenosine modification by dCasRx conjugated methyltransferase and demethylase

N6-methyladenosine (m6A) is the most common modification on endogenous RNA transcripts in mammalian cells. Currently, the lack of precise single-nucleotide RNA modification tools makes it challenging to understand the relationship between site-specific RNA methylation and the corresponding phenotypic outcomes. Here, we developed a bidirectional dCasRx epitranscriptome editing platform composed of a nucleus-localized dCasRx conjugated with either a methyltransferase, METTL3, or a demethylase, ALKBH5, to manipulate methylation events at targeted m6A sites in HEK293T and glioma stem cells. This platform specifically and efficiently edited m6A modifications at targeted sites, modulating both gene expression and cell proliferation. We then employed the dCasRx epitranscriptomic editor to further elucidate the molecular function of m6A-binding proteins YTH (DF1, DF2, DF3) family and found that the YTH paralogs act together to mediate RNA degradation. These findings collectively demonstrate that the dCasRx epitranscriptome perturbation platform reported in this study can be employed as site-specific m6A editors for delineating the functional roles of individual m6A modifications in the mammalian epitranscriptome.

molecular biology↗

bioRxiv2020

Generation of glucocorticoid resistant SARS-CoV-2 T-cells for adoptive cell therapy

Adoptive cell therapy with viral-specific T cells has been successfully used to treat life-threatening viral infections, supporting the application of this approach against COVID-19. We expanded SARS-CoV-2 T-cells from the peripheral blood of COVID-19-recovered donors and non-exposed controls using different culture conditions. We observed that the choice of cytokines modulates the expansion, phenotype and hierarchy of antigenic recognition by SARS-CoV-2 T-cells. Culture with IL-2/4/7 but not other cytokine-driven conditions resulted in >1000 fold expansion in SARS-CoV-2 T-cells with a retained phenotype, function and hierarchy of antigenic recognition when compared to baseline (pre-expansion) samples. Expanded CTLs were directed against structural SARS-CoV-2 proteins, including the receptor-binding domain of Spike. SARS-CoV-2 T-cells could not be efficiently expanded from the peripheral blood of non-exposed controls. Since corticosteroids are used for the management of severe COVID-19, we developed an efficient strategy to inactivate the glucocorticoid receptor gene (NR3C1) in SARS-CoV-2 CTLs using CRISPR-Cas9 gene editing.

immunology↗

bioRxiv2020

SARS-CoV-2 invades host cells via a novel route: CD147-spike protein

Currently, COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been widely spread around the world; nevertheless, so far there exist no specific antiviral drugs for treatment of the disease, which poses great challenge to control and contain the virus. Here, we reported a research finding that SARS-CoV-2 invaded host cells via a novel route of CD147-spike protein (SP). SP bound to CD147, a receptor on the host cells, thereby mediating the viral invasion. Our further research confirmed this finding. First, in vitro antiviral tests indicated Meplazumab, an anti-CD147 humanized antibody, significantly inhibited the viruses from invading host cells, with an EC50 of 24.86 g/mL and IC50 of 15.16 g/mL. Second, we validated the interaction between CD147 and SP, with an affinity constant of 1.85x10-7M. Co-Immunoprecipitation and ELISA also confirmed the binding of the two proteins. Finally, the localization of CD147 and SP was observed in SARS-CoV-2 infected Vero E6 cells by immuno-electron microscope. Therefore, the discovery of the new route CD147-SP for SARS-CoV-2 invading host cells provides a critical target for development of specific antiviral drugs.

microbiology↗

bioRxiv2019

Hormone Levels Are Related to Altered Functional Connectivity in Prolactinomas

Background and ObjectiveProlactinomas may cause drastic hormone fluctuations throughout the body. It is not fully understood how endogenous hormone disorders such as prolactinomas reshape the patients brain. By employing the resting-state functional magnetic resonance imaging technique, we aimed to investigate the whole-brain functional connectivity (FC) and its relationship with hormone levels in patients with prolactinomas.\n\nMethodsUsing whole-brain and seed-based functional connectivity analyses, we compared FC metrics between 33 prolactinoma patients and 31 healthy controls matched with age, sex, and handedness. Then we performed partial correlation analysis to examine the relationship between FC metrics and hormone levels.\n\nResultsCompared to healthy controls, we found that prolactinoma patients showed significantly increased thalamocortical (visual cortex) and cerebellar-cerebral connectivity. In addition, endogenous hormone levels were positively correlated with the increased FC, and the hormone-FC relationships showed sex difference in prolactinoma patients.\n\nConclusionsOur findings are the first to reveal the altered FC patterns and sex-dependent hormone-FC relationships in prolactinoma patients, indicating the important role of hormone levels in the neural mechanism of brain reorganization and hyperactive intrinsic connections in prolactinomas.

neuroscience↗

bioRxiv2018

Testing the Red Queen hypothesis on de novo new genes - Run or die in the evolution of new microRNAs

The Red Queen hypothesis depicts evolution as the continual struggle to adapt. According to this hypothesis, new genes, especially those originating from non-genic sequences (i.e., de novo genes), are eliminated unless they evolve continually in adaptation to a changing environment. Here, we analyze two Drosophila de novo miRNAs that are expressed in a testis-specific manner with very high rates of evolution in their DNA sequence. We knocked out these miRNAs in two sibling species and investigated their contributions to different fitness components. We observed that the fitness contributions of miR-975 in D. simulans seem positive, in contrast to its neutral contributions in D. melanogaster, while miR-983 appears to have negative contributions in both species, as the fitness of the knockout mutant increases. As predicted by the Red Queen hypothesis, the fitness difference of these de novo miRNAs indicates their different fates.

evolutionary biology↗

bioRxiv2017

Impact Of Sequencing Depth And Read Length On Single Cell RNA Sequencing Data: Lessons From T Cells

Single cell RNA sequencing (scRNA-seq) has shown great potential in measuring the gene expression profiles of heterogeneous cell populations. In immunology, scRNA-seq allowed the characterisation of transcript sequence diversity of functionally relevant sub-populations of T cells, and notably the identification of the full length T cell receptor (TCR{beta}), which defines the specificity against cognate antigens. Several factors, such as RNA library capture, cell quality, and sequencing output have been suggested to affect the quality of scRNA-seq data, but these factors have not been systematically examined.\n\nWe studied the effect of read length and sequencing depth on the quality of gene expression profiles, cell type identification, and TCR{beta} reconstruction, utilising 1,305 publically available scRNA-seq datasets, and simulation-based analyses. Gene expression was characterised by an increased number of unique genes identified with short read lengths (<50 bp), but these featured higher technical variability compared to profiles from longer reads. TCR{beta} were detected in 1,027 cells (79%), with a success rate between 81% and 100% for datasets with at least 250,000 (PE) reads of length >50 bp.\n\nSufficient read length and sequencing depth can control technical noise to enable accurate identification of TCR{beta} and gene expression profiles from scRNA-seq data of T cells.

bioinformatics↗

bioRxiv2017

STRT-seq-2i: dual-index 5′ single cell and nucleus RNA-seq on an addressable microwell array

Single-cell RNA-seq has become routine for discovering cell types and revealing cellular diversity, but currently no high-throughput platform has been used successfully on archived human brain samples. We present STRT-seq-2i, an addressable 9600-microwell array platform, combining sampling by limiting dilution or FACS, with imaging and high throughput at competitive cost. We applied the platform to fresh single mouse cortical cells and to frozen post-mortem human cortical nuclei, matching the performance of a previous lower-throughput platform.

molecular biology↗