Biology subjects

Yuan, Y.

Publications and source records attributed to Yuan, Y..

At least 217 records · Page 12Linked to original sources

bioRxiv2022

Peritoneal M2 macrophage-derived extracellular vesicles as natural multi-target nanotherapeutics to attenuate cytokine storm after severe infections

Cytokine storm is a primary cause for multiple organ damage and death after severe infections, such as SARS-CoV-2. However, current single cytokine-targeted strategies display limited therapeutic efficacy. Here, we report that peritoneal M2 macrophages-derived extracellular vesicles (M2-EVs) are multi-target nanotherapeutics to resolve cytokine storm. In detail, primary peritoneal M2 macrophages exhibited superior anti-inflammatory potential than immobilized cell lines. Systemically administrated M2-EVs entered major organs and were taken up by phagocytes (e.g., macrophages). M2-EVs treatment effectively reduced excessive cytokine (e.g., TNF- and IL-6) release in vitro and in vivo, thereby attenuated oxidative stress and multiple organ (lung, liver, spleen and kidney) damage in endotoxin-induced cytokine storm. Moreover, M2-EVs simultaneously inhibited multiple key proinflammatory pathways (e.g., NF-{kappa}B, JAK-STAT and p38 MAPK) by regulating complex miRNA-gene and gene-gene networks, and this effect was collectively mediated by many functional cargos (miRNAs and proteins) in EVs. In addition to the direct anti-inflammatory role, human peritoneal M2-EVs expressed angiotensin-converting enzyme 2 (ACE2), a receptor of SARS-CoV-2 spike protein, and thus could serve as nanodecoys to prevent SARS-CoV-2 pseudovirus infection in vitro. As cell-derived nanomaterials, the therapeutic index of M2-EVs can be further improved by genetic/chemical modification or loading with specific drugs. This study highlights that peritoneal M2-EVs are promising multifunctional nanotherapeutics to attenuate infectious diseases-related cytokine storm.

immunology↗

bioRxiv2022

AI-powered pan-species computational pathology: bridging clinic and wildlife care

Cancers occur across species. Understanding what is consistent and varies across species can provide new insights into cancer initiation and evolution, with significant implications for animal welfare and wildlife conservation. We built the pan-species cancer digital pathology atlas (PANCAD) and conducted the first pan-species study of computational comparative pathology using a supervised convolutional neural network algorithm trained on human samples. The artificial intelligence algorithm achieves high accuracy in measuring immune response through single-cell classification for two transmissible cancers (canine transmissible venereal tumour, 0.94; Tasmanian devil facial tumour disease, 0.88). Furthermore, in 18 other vertebrate species (mammalia=11, reptilia=4, aves=2, and amphibia=1), accuracy (0.57-0.94) was influenced by cell morphological similarity preserved across different taxonomic groups, tumour sites, and variations in the immune compartment. A new metric, named morphospace overlap, was developed to guide veterinary pathologists towards rational deployment of this technology on new samples. This study provides the foundation and guidelines for transferring artificial intelligence technologies to veterinary pathology based on a new understanding of morphological conservation, which could vastly accelerate new developments in veterinary medicine and comparative oncology.

cancer biology↗

bioRxiv2022

Widening the landscape of transcriptional regulation of algal photoprotection

Availability of light and CO2, substrates of microalgae photosynthesis, is frequently far from optimal. Microalgae activate photoprotection under strong light, to prevent oxidative damage, and the CO2 Concentrating Mechanism (CCM) under low CO2, to raise intracellular CO2 levels. The two processes are interconnected; yet, the underlying transcriptional regulators remain largely unknown. Employing a large transcriptomics data compendium of Chlamydomonas reinhardtiis responses to different light and carbon supply, we reconstructed a consensus genome-scale gene regulatory network from complementary inference approaches and used it to elucidate transcriptional regulators of photoprotection. We showed that the CCM regulator LCR1 also controls photoprotection, and that QER7, a Squamosa Binding Protein, suppresses photoprotection- and CCM-gene expression under the control of the blue light photoreceptor Phototropin. By demonstrating the existence of regulatory hubs that channel light- and CO2-mediated signals into a common response, our study provides an accessible resource to dissect gene expression regulation in this microalga.

plant biology↗

bioRxiv2022

Efficient Neutralization of SARS-CoV-2 Omicron and Other VOCs by a Broad Spectrum Antibody 8G3

Numerous mutations in the spike protein of SARS-CoV-2 B.1.1.529 Omicron variant pose a crisis for antibody-based immunotherapies. The efficacy of emergency use authorized (EUA) antibodies that developed in early SARS-CoV-2 pandemic seems to be in flounder. We tested the Omicron neutralization efficacy of an early B cell antibody repertoire as well as several EUA antibodies in pseudovirus and authentic virus systems. More than half of the antibodies in the repertoire that showed good activity against WA1/2020 previously had completely lost neutralizing activity against Omicron, while antibody 8G3 displayed non-regressive activity. EUA antibodies Etesevimab, Casirivimab, Imdevimab and Bamlanivimab were entirely desensitized by Omicron. Only Sotrovimab targeting the non-ACE2 overlap epitope showed a dramatic decrease activity. Antibody 8G3 efficiently neutralized Omicron in pseudovirus and authentic virus systems. The in vivo results showed that Omicron virus was less virulent than the WA1/2020 strain, but still caused deterioration of health and even death in mice. Treatment with 8G3 quickly cleared virus load of mice. Antibody 8G3 also showed excellent activity against other variants of concern (VOCs), especially more efficient against authentic Delta plus virus. Collectively, our results suggest that neutralizing antibodies with breadth remains broad neutralizing activity in tackling SARS-CoV-2 infection despite the universal evasion from EUA antibodies by Omicron variant.

cell biology↗

bioRxiv2022

A novel intranasal administration adenoviral vector-based platform for rapid COVID-19 vaccine development

The coronavirus SARS-CoV-2 has a severe impact on global public health, and the emerging variants threaten the efficacy of the circulating vaccines. Here, we report that a single vaccination with a non-replicating chimpanzee adenovirus-based vaccine against the SARS-CoV-2 Delta variant (JS1-delta) elicits potent humoral, cellular and mucosal immunity in mice. Additionally, a single intranasal administration of JS1-delta provides effective protection against the Delta (B.1.617.2) variant challenge in mice. This study indicates that chimpanzee adenovirus type 3 (ChAd3) derived vector represents a promising platform for antiviral vaccine development against respiratory infections and JS1-delta is worth further investigation in human clinical trials. HighlightsO_LIA new chimpanzee adenoviral vaccine against the SARS-CoV-2 Delta variant was developed. C_LIO_LIThe vaccine elicited potent humoral, cellular and mucosal immunity in mice. C_LIO_LIThe vaccine protected mice from the Delta variant challenge. C_LI

immunology↗

bioRxiv2022

Single-cell transcriptional profiling reveals cellular and molecular divergence in human maternal-fetal interface

Placenta play essential role in successful pregnancy, as the most important organ connecting and interplaying between mother and fetus. However, the cellular and molecular characteristics of fetal origin and maternal origin cell populations within the fetomaternal interface still is poorly understood. Here, we profiled the transcriptomes of single cells with well-defined maternal-fetal origin that consecutively localized from fetal section (FS), middle section (Mid_S) to maternal section (Mat_S) within the human full-term placenta. Then, we initially identified the cellular and molecular heterogeneity of cytotrophoblast cell (CTB) and stromal cell (STR) with the spatial location and fetal/maternal origin, also highlighted STR cells from fetal origins showed greater proliferation ability in Mat_S compared to cells from FS or Mid_S. Further, by integrating analysis with the first-trimester placental single cell transcriptome data, we revealed that a subpopulation of trophoblast progenitor-like cells (TPLCs) existed in the full-term placenta and mainly distributed in Mid_S, with high expression of pool of putative cell surface makers and unique molecular features. Moreover, through the extravillous cytotrophoblast (EVT) subsets differentiation trajectory and regulation network analysis, we proposed a putative key transcription factor PRDM6 that promoted the differentiation of endovascular extravillous trophoblast cells (enEVT). Finally, based on the integrated analyses of single cell transcriptional profiling of preeclampsia (PE) and match-trimester normal placenta, we highlighted the defective EVT subgroup composition and down-regulation of PRDM6 may lead to an abnormal enEVT differentiation process in PE. Together, our study offers important resources for better understanding of human placenta, stem cell-based therapy as well as PE, and provides new insights on the study of tissue heterogeneity, the clinical prevention and control of PE as well as the maternal-fetal interface.

developmental biology↗

bioRxiv2022

Single Cell Proteomics Using a Trapped Ion Mobility Time-of-Flight Mass Spectrometer Provides Insight into the Post-translational Modification Landscape of Individual Human Cells

Single cell proteomics is a powerful tool with potential for markedly enhancing understanding of cellular processes. Previously reported single cell proteomics innovations employ Orbitrap mass spectrometers. In this study we describe the development, optimization, and application of multiplexed single cell proteomics to the analysis of human-derived cells using trapped ion mobility time-of-flight mass spectrometry. This method, denoted as pasefRiQ is an advance as it allows accurate peptide quantification at picogram peptide concentrations. When employing a peptide carrier channel to boost protein sequence coverage, we obtain over 40,000 tandem mass spectra in 30 minutes, while achieving higher sequence coverage of each identified protein than described for SCOPE2. Using NCI-H-358 cells, which are a human bronchioalveolar carcinoma and KRASG12C model cell line, we demonstrate that the level of coverage achieved using this method enables the quantification of up to 1,255 proteins per cell and the detection of multiple classes of post-translational modifications in single cells. Further, when cells were treated with sotorasib, a KRASG12C covalent inhibitor, pasefRiQ revealed cell-to-cell variability in the impact of the drug on the NCI-H-358 cells, providing insight missed by traditional analyses. We provide multiple resources necessary for the application of single cell proteomics to drug treatment studies including tools to reduce cell cycle linked proteomic effects from masking pharmacological phenotypes. Significance StatementThis work describes the establishment of a single cell proteomics method using a time-of-flight mass spectrometer. Through this approach, we demonstrate the confident identification of post- translational modifications in single human-derived cells. Additionally, using a KRASG12C covalent inhibitor as a model compound we show that this method can be used to understand pharmacological responses of single human-derived cultured cells.

biochemistry↗

bioRxiv2022

SPRI: Spatial Pattern Recognition using Information based method for spatial gene expression data

The rapid development of spatially resolved transcriptomics has made it possible to analyze spatial gene expression patterns in complex biological tissues. To identify spatially differential expressed genes, we propose a novel and robust nonparametric information-based approach, SPRI. SPRI converts the problem of identifying spatial gene expression patterns into the detection of dependencies between spatial coordinates with observed frequencies measured by read counts. It directly models spatial transcriptome raw count without assuming a parametric model. SPRI was applied to spatial datasets with different resolutions, suggesting that SPRI outperforms previous methods, by robustly detecting more genes with significant spatial expression patterns, and revealing biological insights that cannot be identified by other methods.

bioinformatics↗

bioRxiv2022

Whole-brain in vivo base editing reverses autistic-like behaviors in mice

Autism spectrum disorder (ASD) is a highly heritable neurodevelopmental disorder associated with deficits in social communication and stereotypical behaviors. Numerous ASD-related genetic mutations have been identified and genome editing methods have been developed but successful genome editing in the whole-brain scale to alleviate autistic-like behaviors in animal models has not been achieved. Here we report the development of a new CRISPR-mediated cytidine base editor (CBE) system, which converts C{middle dot}G base pairs to T{middle dot}A. We demonstrate the effectiveness of this system by targeting an ASD-associated de novo mutation in the MEF2C gene (c.104T>C, p.L35P). We constructed a Mef2c L35P knock-in mouse and observed that Mef2c L35P heterozygous mice displayed autistic-like behaviors, including deficits in social behaviors and repetitive behaviors. We programmed the CBE to edit the C{middle dot}G base pairs of the mutated Mef2c gene (c.104T>C, p.L35P) to T{middle dot}A base pairs and delivered it via a single dose intravenous injection of blood brain barrier (BBB)-crossing AAV-PHP.eB vector into the mouse brain. This treatment restored MEF2C protein levels and reversed impairments in social interactions and repetitive behaviors in Mef2c L35P heterozygous mice. Together, this work presents an in vivo gene editing strategy in which correcting a single nucleotide mutation in the whole-brain scale could be successfully achieved, further providing a new therapeutic framework for neurodevelopmental disorders.

neuroscience↗

bioRxiv2022

Identification of Piperlongumine (PL) as an new E3 ligase ligand to induce targeted protein degradation

PROteolysis Targeting Chimeras (PROTACs) are bifunctional molecules that degrade target proteins through recruiting E3 ligases. However, their application is limited in part because few E3 ligases can be recruited by known E3 ligase ligands. In this study, we identified piperlongumine (PL), a natural product, as a covalent E3 ligase recruiter, which induces CDK9 degradation when it is conjugated with SNS-032, a CDK9 inhibitor. The lead conjugate 955 can potently degrade CDK9 in a ubiquitin-proteasome-dependent manner and is much more potent than SNS-032 against various tumor cells in vitro. Mechanistically, we identified KEAP1 as the E3 ligase recruited by 955 to degrade CDK9 through a TurboID-based proteomics study, which was further confirmed by KEAP1 knockout and the nanoBRET ternary complex formation assay. In addition, PL-Ceritinib conjugate can degrade EML4-ALK fusion oncoprotein, suggesting that PL may have a broader application as a covalent E3 ligase ligand in targeted protein degradation.

cancer biology↗

bioRxiv2022

Comprehensive Evaluation of ACE2-Fc Combination with Neutralization Antibody on Broad Protection against SARS-CoV-2 and Its Variants

Emerging SARS-CoV-2 variants are threatening the efficacy of antibody therapies. Combination treatments including ACE2-Fc have been developed to overcome the evasion of neutralizing antibodies (NAbs) in individual cases. Here we conducted a comprehensive evaluation of this strategy by combining ACE2-Fc with NAbs of diverse epitopes on the RBD. NAb+ACE2-Fc combinations efficiently neutralized HIV-based pseudovirus carrying the spike protein of the Delta or Omicron variants, achieving a balance between efficacy and breadth. In an antibody escape assay using replication-competent VSV-SARS-CoV-2-S, all the combinations had no escape after fifteen passages. By comparison, all the NAbs without combo with ACE2-Fc had escaped within six passages. Further, the VSV-S variants escaped from NAbs were neutralized by ACE2-Fc, revealing the mechanism of NAb+ACE2-Fc combinations survived after fifteen passages. We finally examined ACE2-Fc neutralization against pseudovirus variants that were resistant to the therapeutic antibodies currently in clinic. Our results suggest ACE2-Fc is a universal combination partner to combat SARS-CoV-2 variants including Delta and Omicron.

cell biology↗

bioRxiv2022

Pan-genomic analysis of transcriptional modules across Salmonella Typhimurium reveals the regulatory landscape of different strains

Salmonella enterica Typhimurium is a serious pathogen that is involved in human nontyphoidal infections. Tackling Typhimurium infections is difficult due to the species dynamic adaptation to its environment, which is dictated by a complex transcriptional regulatory network (TRN). While traditional biomolecular methods provide characterizations of specific regulators, it is laborious to construct the global TRN structure from this bottom-up approach. Here, we used a machine learning technique to understand the transcriptional signatures of S. enterica Typhimurium from the top down, as a whole and in individual strains. Furthermore, we conducted cross-strain comparison of 6 strains in serovar Typhimurium to investigate similarities and differences in their TRNs with pan-genomic analysis. By decomposing all the publicly available RNA-Seq data of Typhimurium with independent component analysis (ICA), we obtained over 400 independently modulated sets of genes, called iModulons. Through analysis of these iModulons, we 1) discover three transport iModulons linked to antibiotic resistance, 2) describe concerted responses to cationic antimicrobial peptides (CAMPs), 3) uncover evidence towards new regulons, and 4) identify two iModulons linked to bile responses in strain ST4/74. We extend this analysis across the pan-genome to show that strain-specific iModulons 5) reveal different genetic signatures in pathogenicity islands that explain phenotypes and 6) capture the activity of different phages in the studied strains. Using all high-quality publicly-available RNA-Seq data to date, we present a comprehensive, data-driven Typhimurium TRN. It is conceivable that with more high-quality datasets from more strains, the approach used in this study will continue to guide our investigation in understanding the pan-transcriptome of Typhimurium. Interactive dashboards for all gene modules in this project are available at https://imodulondb.org/ under the "Salmonella Typhimurium" page to enable browsing for interested researchers.

systems biology↗

bioRxiv2021

Cell transcriptomic atlas of the non-human primate Macaca fascicularis

Studying tissue composition and function in non-human primates (NHP) is crucial to understand the nature of our own species. Here, we present a large-scale single-cell and single-nucleus transcriptomic atlas encompassing over one million cells from 43 tissues from the adult NHP Macaca fascicularis. This dataset provides a vast, carefully annotated, resource to study a species phylogenetically close to humans. As proof of principle, we have reconstructed the cell-cell interaction networks driving Wnt signalling across the body, mapped the distribution of receptors and co-receptors for viruses causing human infectious diseases and intersected our data with human genetic disease orthologous coordinates to identify both expected and unexpected associations. Our Macaca fascicularis cell atlas constitutes an essential reference for future single-cell studies in human and NHP.

cell biology↗

bioRxiv2021

ACTIN Anchors the Highly Oligomeric DRP1 at Mitochondria-Sarcoplasmic Reticulum Contact Sites in Adult Murine Heart: Its Functional Implication

RationaleMitochondrial fission and fusion are relatively infrequent in adult cardiomyocytes compared to another cell types1-3. This is surprising considering that proteins involved in mitochondrial dynamics are highly expressed in the heart. It has been previously reported that dynamin-related protein 1 (DRP1) has a critical role in mitochondrial fitness and cardiac protection1, 4. Cardiac DRP1 ablation in the adult heart evokes a progressive dilated cardiac myopathy and lethal heart failure1. Nevertheless, the conditional cardiac-specific DRP1 knock-out animals present a significantly longer survival rate compared with global DRP1 KO models1, 4, 5. We have described before the great importance for cardiac physiology of the strategic positioning of mitochondrial proteins in the cardiac tissue6, 7. Therefore, we hypothesize that DRP1 plays a regulatory role in cardiac physiology and mitochondrial fitness by preferentially accumulating at mitochondria and junctional sarcoplasmic reticulum (jSR) contact sites, where the high Ca2+ microdomain is formed during excitation-contraction (EC) coupling. ObjectiveThis study aims to determine whether mitochondria-associated DRP1 is preferentially accumulated in the mitochondria and jSR contact sites, the mechanism responsible for such a biased distribution, and its functional implication. Methods and ResultsUsing high-resolution imaging approaches, we found that mitochondria-associated DRP1 in cardiomyocytes was localized in the discrete regions where T-tubule, jSR, and mitochondria are adjacent to each other. Western blot results showed that mitochondria-bound DRP1 was restricted to the mitochondria-associated membranes (MAM), with undetectable levels in purified mitochondria. Furthermore, in comparison to the cytosolic DRP1, the membrane-bound DRP1 in SR and MAM fractions formed high molecular weight oligomers demosntratd by 2D blue native technique. In both electrically paced adult cardiomyocytes and Langendorff-perfused beating hearts, the oscillatory Ca2+ pulses preserved MAM-associated DRP1 accumulation. Interestingly, similar to DRP1, all mitochondria-bound {beta}-ACTIN only exists in MAM and not in the purified mitochondria. Additionally, co-immunoprecipitation pulls down both DRP1 and {beta}-ACTIN together. Inhibition of {beta}-ACTIN polymerization with Cytochalasin D disrupts the tight association between DRP1 and {beta}-ACTIN. In cardiac-specific DRP1 knock-out mouse after 6 weeks of tamoxifen induction (DRP1icKo), the cardiomyocytes show disarray of sarcomere, a decrease of cardiac contraction, loss of mitochondrial membrane potential, significantly decreased spare respiratory capacity, and frequent occurrence of early after contraction (EAC), suggesting the heart is susceptible to arrhythmias and heart failure. Despite of this phenotype, DRP1icKo animals have longer life span than other DRP1 KO models. Strikingly, DRP1 levels are only modestly decreased in the MAM when compared with the rest of the cellular fractions. These preserved levels were accompanied by the preservation of the mitochondrial pool in the MAM fraction obtained from the DRP1icKO hearts. ConclusionsThe results show that in adult cardiomyocytes, mitochondria bound DRP1 clusters in high molecular weight protein complexes at MAM. This clustering is fortified by EC coupling mediated Ca2+ transients and requires its interaction with {beta}-ACTIN. Together with the better preserved DRP1 levels in the DRP1icKO model in the MAM, we conclude that DRP1 is anchored at the mitochondria-SR interface through {beta}-ACTIN and positions itself to play a fundamental role in regulating mitochondrial quality control in the working heart.

physiology↗

bioRxiv2021

EBV LMP1-activated mTORC1 and mTORC2 Coordinately Promote Nasopharyngeal Cancer Stem Cell Properties

Epstein-Barr Virus (EBV) is associated with several malignant diseases, including Burkitts lymphoma, nasopharyngeal carcinoma (NPC), certain types of lymphomas, and a portion of gastric cancers. Virus-encoded oncoprotein LMP1 induces the epithelial-to-mesenchymal transition (EMT), leading to cancer stem cell formation. In the current study, we investigated how LMP1 contributes to cancer stem cell development in NPC. We found that LMP1 plays an essential role in acquiring CSC characteristics, including tumor initiation, metastasis, and therapeutic resistance by activating the PI3K/mTOR/Akt signaling pathway. We dissected the functions of distinct signaling (mTORC1 and mTORC2) in the acquisition of different CSC characteristics. Side population (SP) formation, which represents the chemotherapy resistance feature of CSC, requires mTORC1 signaling. Tumor initiation capability is mainly attributed to mTORC2, which confers on NPC the capabilities of proliferation and survival by activating mTORC2 downstream genes c-Myc. Both mTORC1 and mTORC2 enhance cell migration and invasion of NPC cells, suggesting that mTORC1/2 co-regulate metastasis of NPC. The revelation of the roles of the mTOR signaling pathways in distinct tumorigenic features provides a guideline for designing efficient therapies by choosing specific mTOR inhibitors targeting mTORC1, mTORC2, or both to achieve durable remission of NPC in patients. SignificanceLMP1 endows NPC to gain cancer stem cell characteristics through activating mTORC1 and mTORC2 pathways. The different mTOR pathways are responsible for distinct tumorigenic features. Rapamycin-insensitive mTORC1 is essential for CSC drug resistance. NPC tumor initiation capacity is mainly attributed to mTORC2 signaling. mTORC1 and mTORC2 co-regulate NPC cell migration and invasion. The revelation of the roles of mTOR signaling in NPC CSC establishment has implications for novel therapeutic strategies to treat relapsed and metastatic NPC and achieve durable remission.

cancer biology↗

bioRxiv2021

DyScore: A Boosting Scoring Method with Dynamic Properties for Identifying True Binders and Non-binders in Structure-based Drug Discovery

The accurate prediction of protein-ligand binding affinity is critical for the success of computer-aided drug discovery. However, the accuracy of current scoring functions is usually unsatisfactory due to their rough approximation or sometimes even omittance of many factors involved in protein-ligand binding. For instance, the intrinsic dynamic of the protein-ligand binding state is usually disregarded in scoring function because these rapid binding affinity prediction approaches are only based on a representative complex structure of the protein and ligand in the binding state. That is, the dynamic protein-ligand binding complex ensembles are simplified as a static snapshot in calculation. In this study, two novel features were proposed for characterizing the dynamic properties of protein-ligand binding based on the static structure of the complex, which is expected to be a valuable complement to the current scoring functions. The two features demonstrate the geometry-shape matching between a protein and a ligand as well as the dynamic stability of protein-ligand binding. We further combined these two novel features with several classical scoring functions to develop a binary classification model called DyScore that uses the Extreme Gradient Boosting algorithm to classify compound poses as binders or non-binders. We have found that DyScore achieves state-of-the-art performance in distinguishing active and decoy ligands on both enhanced DUD dataset and external test sets with both proposed novel features showing significant contributions to the improved performance. Especially, DyScore exhibits superior performance on early recognition, a crucial requirement for success in virtual screening and de novo drug design. The standalone version of DyScore and Dyscore-MF are freely available to all at: https://github.com/YanjunLi-CS/dyscore Key PointsO_LITwo novel binding features were proposed for characterizing the dynamic properties of protein-ligand binding only based on a static snapshot of complex. C_LIO_LIBased on the XGBoost machine learning method, the DyScore recognition model was proposed to accurately classify compound binding poses as binders or non-binders. DyScore consistently outperforms all the state-of-the-art published models on three different metrics by a large margin. C_LIO_LIDyScore showed superior performance in early recognition with an average of 73.3% success rate for the top three ranked compounds for each protein target. C_LIO_LIThe standalone version of DyScore and DyScore-MF are freely available to all at: https://github.com/YanjunLi-CS/dyscore C_LI TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=88 SRC="FIGDIR/small/465921v2_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@1e96bborg.highwire.dtl.DTLVardef@3a0a8corg.highwire.dtl.DTLVardef@8a6f7eorg.highwire.dtl.DTLVardef@9dfa19_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2021

Transcriptional regulation of photoprotection in dark-to-light transition - more than just a matter of excess light energy

In nature, photosynthetic organisms are exposed to different light spectra and intensities depending on the time of day and atmospheric and environmental conditions. When photosynthetic cells absorb excess light, they induce non-photochemical quenching to avoid photo-damage and trigger expression of photoprotective genes. In this work, we used the green alga Chlamydomonas reinhardtii to assess the impact of light intensity, light quality, wavelength, photosynthetic electron transport and CO2 on induction of the photoprotective genes (LHCSR1, LHCSR3 and PSBS) during dark-to-light transitions. Induction (mRNA accumulation) occurred at very low light intensity, was independently modulated by blue and UV-B radiation through specific photoreceptors, and only LHCSR3 was strongly controlled by CO2 levels through a putative enhancer function of CIA5, a transcription factor that controls genes of the carbon concentrating mechanism. We propose a model that integrates inputs of independent signaling pathways and how they may help the cells anticipate diel conditions and survive in a dynamic light environment.

plant biology↗

bioRxiv2021

Photoprotection is regulated by light-independent CO2 availability

Photosynthetic algae have evolved mechanisms to cope with suboptimal light and CO2 conditions. When light energy exceeds CO2 fixation capacity, Chlamydomonas reinhardtii activates photoprotection, mediated by LHCSR1/3 and PSBS, and the CO2 Concentrating Mechanism (CCM). How light and CO2 signals converge to regulate these processes remains unclear. Here, we show that excess light activates photoprotection- and CCM-related genes by altering intracellular CO2 concentrations and that depletion of CO2 drives these responses, even in total darkness. High CO2 levels, derived from respiration or impaired photosynthetic fixation, repress LHCSR3/CCM genes while stabilizing the LHCSR1 protein. Finally, we show that the CCM regulator CIA5 also regulates photoprotection, controlling LHCSR3 and PSBS transcript accumulation while inhibiting LHCSR1 protein accumulation. This work has allowed us to dissect the effect of CO2 and light on CCM and photoprotection, demonstrating that light often indirectly affects these processes by impacting intracellular CO2 levels.

plant biology↗