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Feng, D.

Publications and source records attributed to Feng, D..

At least 37 records · Page 2Linked to original sources

Sensitive detection of synthetic response to cancer immunotherapy driven by gene paralog pairs

Emerging immunotherapies such as immune checkpoint blockade (ICB) and chimeric antigen receptor T-cell (CAR-T) therapy have revolutionized cancer treatment and have improved the survival of patients with multiple cancer types. Despite this success many patients are unresponsive to these treatments or relapse following treatment. CRISPR activation and knockout (KO) screens have been used to identify novel single gene targets that can enhance effector T cell function and promote immune cell targeting and eradication of tumors. However, cancer cells often employ multiple genes to promote an immunosuppressive pathway and thus modulating individual genes often has a limited effect. Paralogs are genes that originate from common ancestors and retain similar functions. They often have complex effects on a particular phenotype depending on factors like gene family similarity, each individual genes expression and the physiological or pathological context. Some paralogs exhibit synthetic lethal interactions in cancer cell survival; however, a thorough investigation of paralog pairs that could enhance the efficacy of cancer immunotherapy is lacking. Here we introduce a sensitive computational approach that uses sgRNA sets enrichment analysis to identify cancer-intrinsic paralog pairs which have the potential to synergistically enhance T cell-mediated tumor destruction. We have further developed an ensemble learning model that uses an XGBoost classifier and incorporates features such as gene characteristics, sequence and structural similarities, protein-protein interaction (PPI) networks, and gene coevolution data to predict paralog pairs that are likely to enhance immunotherapy efficacy. We experimentally validated the functional significance of these predicted paralog pairs using double knockout (DKO) of identified paralog gene pairs as compared to single gene knockouts (SKOs). These data and analyses collectively provide a sensitive approach to identify previously undetected paralog pairs that can enhance cancer immunotherapy even when individual genes within the pair has a limited effect.

bioinformatics↗

HIGH THROUGHPUT QUANTITATION OF HUMAN NEUTROPHIL RECRUITMENT AND FUNCTIONAL RESPONSES IN AN AIR-BLOOD BARRIER ARRAY

Dysregulated neutrophil recruitment drives many pulmonary diseases, but most preclinical screening methods are unsuited to evaluate pulmonary neutrophilia, limiting progress towards therapeutics. Namely, high throughput therapeutic screening systems typically exclude critical neutrophilic pathophysiology, including blood-to-lung recruitment, dysfunctional activation, and resulting impacts on the air-blood barrier. To meet the conflicting demands of physiological complexity and high throughput, we developed an assay of 96-well Leukocyte recruitment in an Air-Blood Barrier Array (L-ABBA-96) that enables in vivo-like neutrophil recruitment compatible with downstream phenotyping by automated flow cytometry. We modeled acute respiratory distress syndrome (ARDS) with neutrophil recruitment to 20 ng/mL epithelial-side interleukin 8 (IL-8) and found a dose dependent reduction in recruitment with physiologic doses of baricitinib, a JAK1/2 inhibitor recently FDA-approved for severe COVID-19 ARDS. Additionally, neutrophil recruitment to patient-derived cystic fibrosis sputum supernatant induced disease-mimetic recruitment and activation of healthy donor neutrophils and upregulated endothelial e-selectin. Compared to 24-well assays, the L-ABBA-96 reduces required patient sample volumes by 25 times per well and quadruples throughput per plate. Compared to microfluidic assays, the L-ABBA-96 recruits two orders of magnitude more neutrophils per well, enabling downstream flow cytometry and other standard biochemical assays. This novel pairing of high-throughput in vitro modeling of organ-level lung function with parallel high-throughput leukocyte phenotyping substantially advances opportunities for pathophysiological studies, personalized medicine, and drug testing applications.

bioengineering↗

Recombinant expression, purification, and antifungal activity of the novel antimicrobial peptide TaW662

Blumeria graminis f. sp. tritici (Bgt) is a significant wheat fungal pathogen, posing threats to both yield and quality. Antimicrobial peptides, with their broad-spectrum activities, hold promise in combating Bgt-induced wheat fungal diseases.In this study, we identified TaW662, an antifungal peptide gene sourced from the wheat-Thinopyrum intermedium disomic alien addition line SN6306. Through third-generation transcriptome sequencing, we obtained the full-length transcript of TaW662. Notably, TaW662 exhibited upregulated expression in response to powdery mildew infection in SN6306. Subcellular localization analysis revealed TaW662s extracellular secretion, suggesting its role in defense mechanisms. Additionally, the TaW662 protein was expressed in Escherichia coli, and the purified protein could inhibit the growth of Bgt in vitro. Utilizing the online alphafold2 server, we predicted the three-dimensional structure of TaW662, aiding in understanding its fungicidal mechanisms. Analysis of TaW662s physicochemical properties further supported its potential efficacy as a fungicide against Bgt. In conclusion, TaW662 emerges as a promising candidate for combating Bgt-induced wheat fungal diseases, warranting further exploration for agricultural disease management strategies. HighlightsTaW662, a secreted protein homologous to TaWIR1, is induced in wheat by Blumeria graminis f. sp. tritici (Bgt). The expression pattern of TaW662 in wheat under induced by Bgt was analysed using RNA-Seq technology. The three-dimensional structure of TaW662 was predicted using AlphaFold2. The growth of Bgt is inhibited by recombinant TaW662.

plant biology↗

Whole genome profiling of short-term hypoxia induced genes and identification of HIF-1 binding sites provide insights into HIF-1 function in Caenorhabditis elegans

Oxygen is essential to all the aerobic organisms. However, during normal development, disease and homeostasis, organisms are often challenged by hypoxia (oxygen deprivation). Hypoxia-inducible transcription factors (HIFs) are master regulators of hypoxia response and are evolutionarily conserved in metazoans. The homolog of HIF in the genetic model organism C. elegans is HIF-1. In this study, we aimed to understand short-term hypoxia response and to identify HIF-1 direct targets in C. elegans. The central research questions were: (1) which genes are differentially expressed in response to short-term hypoxia? (2) Which of these changes in gene expression are dependent upon HIF-1 function? (3) How do HIF-1-dependent hypoxia-responsive genes affect hypoxia adaptation? (4) Which genes are the direct targets of HIF-1? We combine whole genome gene expression analyses and chromatin immunoprecipitation sequencing (ChIP-seq) experiments to address these questions. In agreement with other published studies, we report that HIF-1-dependent hypoxia-responsive genes are involved in metabolism, oxidation-reduction process, and stress response. Some HIF-1-dependent hypoxia-responsive genes like efk-1 and phy-2 dramatically impact survival in hypoxic conditions. HIF-1 co-immunoprecipitates with genomic regions proximal genes involved in stress response, protein processing in endoplasmic reticulum, and cell recognition. Further, some of these potential HIF-1 direct targets are differentially expressed under short-term hypoxia or are differentially regulated by mutations that enhance HIF-1 activity.

genetics↗

Transcriptome analyses describe the consequences of persistent HIF-1 over-activation in Caenorhabditis elegans

Metazoan animals rely on oxygen for survival, but during normal development and homeostasis, animals are often challenged by hypoxia (low oxygen). In metazoans, many of the critical hypoxia responses are mediated by the evolutionarily conserved hypoxia-inducible transcription factors (HIFs). The stability and activity of HIF complexes are strictly regulated. In the model organism C. elegans, HIF-1 stability and activity are negatively regulated by VHL-1, EGL-9, RHY-1 and SWAN-1. Importantly, C. elegans mutants carrying strong loss-of-function mutations in these genes are viable, and this provides opportunities to interrogate the molecular consequences of persistent HIF-1 over-activation. We find that the genome-wide gene expression patterns are compellingly similar in these mutants, supporting models in which RHY-1, SWAN-1 and EGL-9 function in common pathway(s) to regulate HIF-1 activity. These studies illuminate the diversified biological roles played by HIF-1, including metabolism, hypoxia and other stress responses, reproduction and development. Genes regulated by persistent HIF-1 over-activation overlap with genes responsive to pathogens, and they overlap with genes regulated by DAF-16. As crucial stress regulators, HIF-1 and DAF-16 converge on key stress-responsive genes and function synergistically to enable hypoxia survival.

genetics↗

Identification and functional analysis of eRNA markers for hepatocellular carcinoma based on high-throughput data

Hepatocellular carcinoma (HCC) is a common type of liver cancer with a high mortality rate. enhancer RNA (eRNA) has been proved to play an important role in cancer progress and development. However, the eRNA studies in HCC are still limited. In this study, we attempted to identify some eRNA biomarkers for HCC diagnosis and analyzed their biological function. First, we identified three eRNA biomarkers (CAP2e, COLEC10e, and MARCOe), which were significant differentially expressed between tumor and normal tissues in 115 HCC patients across three datasets. CAP2e demonstrated upregulation in tumors while COLEC10e and MARCOe were downregulated. These results could be validated in TCGA-LIHC data. There were significant positive correlations between the expression of these eRNAs and their host genes. Then, functional enrichment analysis of protein-coding genes associated with the eRNA biomarkers revealed their involvement in cancer-related pathways. MARCOe was suggested to be a potential target for therapeutic drugs in HCC by a drug related study. The next, survival analysis demonstrated significant prognostic values of these eRNAs in prediction of overall survival. Immune infiltration analysis revealed a positive correlation between MARCOe expression and immune cell infiltration level. Finally, we found similar expression patterns of these eRNA biomarkers in other cancers, such as cholangiocarcinoma, through a pan-cancer comparison. CAP2e and COLEC10e in HCC were validated by other studies. However, the studies about MARCOe in HCC were limited. In conclusion, as best as our knowledge, it is the first time to identify three eRNA biomarkers for HCC diagnosis. These biomarkers are proved to be involved in HCC progress and development, have prognosis prediction values, and are potential to be therapeutic targets.

cancer biology↗

Expansion-assisted selective plane illumination microscopy for nanoscale imaging ofcentimeter-scale tissues

Recent advances in tissue processing, labeling, and fluorescence microscopy are providing unprecedented views of the structure of cells and tissues at sub-diffraction resolutions and near single molecule sensitivity, driving discoveries in diverse fields of biology, including neuroscience. Biological tissue is organized over scales of nanometers to centimeters. Harnessing molecular imaging across intact, three-dimensional samples on this scale requires new types of microscopes with larger fields of view and working distance, as well as higher throughput. We present a new expansion-assisted selective plane illumination microscope (ExA-SPIM) with aberration-free 1.5 {micro}mx1.5 {micro}mx3 {micro}m optical resolution over a large field of view (10.6x8.0 mm2) and working distance (35 mm) at speeds up to 946 megavoxels/sec. Combined with new tissue clearing and expansion methods, the microscope allows imaging centimeter-scale samples with 375 nm lateral and 750 nm axial resolution (4x expansion), including entire mouse brains, with high contrast and without sectioning. We illustrate ExA-SPIM by reconstructing individual neurons across the mouse brain, imaging cortico-spinal neurons in the macaque motor cortex, and visualizing axons in human white matter.

neuroscience↗

Compression strategies for large-scale electrophysiology data

AbstractWith the rapid adoption of high-density electrode arrays for recording neural activity, electrophysiology data volumes within labs and across the field are growing at unprecedented rates. For example, a one-hour recording with a 384-channel Neuropixels probe generates over 80 GB of raw data. These large data volumes carry a high cost, especially if researchers plan to store and analyze their data in the cloud. Thus, there is a pressing need for strategies that can reduce the data footprint of each experiment. Here, we establish a set of benchmarks for comparing the performance of various compression algorithms on experimental and simulated recordings from Neuropixels 1.0 (NP1) and 2.0 (NP2) probes. For lossless compression, audio codecs (FLAC and WavPack) achieve compression ratios 6% higher for NP1 and 10% higher for NP2 than the best general-purpose codecs, at the expense of a slower decompression speed. For lossy compression, the WavPack algorithm in "hybrid mode" increases the compression ratio from 3.59 to 7.08 for NP1 and from 2.27 to 7.04 for NP2 (compressed file size of[~] 14% for both types of probes), without adverse effects on spike sorting accuracy or spike waveforms. Along with the tools we have developed to make compression easier to deploy, these results should encourage all electrophysiologists to apply compression as part of their standard analysis workflows.

neuroscience↗

Discovery and characterization of cross-reactive intrahepatic antibodies in severe alcoholic hepatitis

The pathogenesis of antibodies in severe alcoholic hepatitis (SAH) remains unknown. We sought to determine if there was antibody deposition in SAH livers and whether antibodies extracted from SAH livers were cross-reactive against both bacterial antigens and human proteins. We analyzed immunoglobulins (Ig) in explanted livers from SAH patients (n=45) undergoing liver transplantation and tissue from corresponding healthy donors (HD, n=10) and found massive deposition of IgG and IgA isotype antibodies associated with complement fragment C3d and C4d staining in ballooned hepatocytes in SAH livers. Ig extracted from SAH livers, but not patient serum exhibited hepatocyte killing efficacy in an antibody-dependent cell-mediated cytotoxicity (ADCC) assay. Employing human proteome arrays, we profiled the antibodies extracted from explanted SAH, alcoholic cirrhosis (AC), nonalcoholic steatohepatitis (NASH), primary biliary cholangitis (PBC), autoimmune hepatitis (AIH), hepatitis B virus (HBV), hepatitis C virus (HCV) and HD livers and found that antibodies of IgG and IgA isotypes were highly accumulated in SAH and recognized a unique set of human proteins as autoantigens. The use of an E. coli K12 proteome array revealed the presence of unique anti-E. coli antibodies in SAH, AC or PBC livers. Further, both Ig and E. coli captured Ig from SAH livers recognized common autoantigens enriched in several cellular components including cytosol and cytoplasm (IgG and IgA), nucleus, mitochondrion and focal adhesion (IgG). Except IgM from PBC livers, no common autoantigen was recognized by Ig and E. coli captured Ig from AC, HBV, HCV, NASH or AIH suggesting no cross-reacting anti-E. coli autoantibodies. The presence of cross-reacting anti-bacterial IgG and IgA autoantibodies in the liver may participate in the pathogenesis of SAH.

pathology↗

Stimulus novelty uncovers coding diversity in visual cortical circuits

Detecting novel stimuli in the environment is critical for learning and survival, yet the neural basis of novelty processing is not understood. To characterize cell type-specific novelty processing, we surveyed the activity of [~]15,000 excitatory and inhibitory neurons in mice performing a visual task with novel and familiar stimuli. Clustering revealed a dozen functional neuron types defined by experience-dependent encoding. Vasoactive-intestinal-peptide (Vip) expressing inhibitory neurons were diverse, encoding novel stimuli, omissions of familiar stimuli, or behavioral features. Distinct Somatostatin (Sst) expressing inhibitory neurons encoded either familiar or novel stimuli. Subsets of excitatory neurons co-clustered with specific Vip or Sst subpopulations, while Sst and Vip inhibitory clusters were non-overlapping. This study establishes that novelty processing is mediated by diverse functional neuron types in the visual cortex.

neuroscience↗

Exploring the Knowledge of An Outstanding Protein to Protein Interaction Transformer

Protein-to-protein interaction (PPI) prediction aims to predict whether two given proteins interact or not. Compared with traditional experimental methods of high cost and low efficiency, the current deep learning based approach makes it possible to discover massive potential PPIs from large-scale databases. However, deep PPI prediction models perform poorly on unseen species, as their proteins are not in the training set. Targetting on this issue, the paper first proposes PPITrans, a Transformer based PPI prediction model that exploits a language model pre-trained on proteins to conduct binary PPI prediction. To validate the effectiveness on unseen species, PPITrans is trained with Human PPIs and tested on PPIs of other species. Experimental results show that PPITrans significantly outperforms the previous state-of-the-art on various metrics, especially on PPIs of unseen species. For example, the AUPR improves 0.339 absolutely on Fly PPIs. Aiming to explore the knowledge learned by PPITrans from PPI data, this paper also designs a series of probes belonging to three categories. Their results reveal several interesting findings, like that although PPITrans cannot capture the spatial structure of proteins, it can obtain knowledge of PPI type and binding affinity, learning more than binary PPI.

bioinformatics↗

Identification and structural modeling of the chlamydial RNA polymerase omega subunit

Gene transcription in bacteria is carried out by the multisubunit RNA polymerase (RNAP), which is composed of a catalytic core enzyme and a promoter-recognizing {sigma} factor. RNAP core enzyme comprises two subunits, one {beta} subunit, one {beta} s subunit, and one {omega} (omega) subunit. Across multiple bacterial taxa, the RNAP {omega} subunit plays critical roles in the assembly of RNAP core enzyme and in other cellular functions, including regulation of bacterial growth, stress response, and biofilm formation. However, for several intracellular bacterium, including the obligate intracellular bacterium Chlamydia, no RNAP {omega} subunit previously has been identified. Here, we report the identification of Chlamydia trachomatis hypothetical protein CTL0286 as the chlamydial RNAP {omega} ortholog, based on sequence, synteny, and AlphaFold and AlphaFold-Multimer three-dimensional-structure predictions. We conclude that CTL0286 functions as the previously missing chlamydial {omega} ortholog. Extensions of our analysis indicate that all obligate intracellular bacteria have {omega} orthologs. IMPORTANCEChlamydiae are common mammalian pathogens. Chlamydiae have a unique developmental cycle characterized with an infectious but nondividing elementary body (EB), which can temporarily survive outside host cells, and a noninfectious reticulate body (RB), which replicates only intracellularly. Chlamydial development inside host cells can be arrested during persistence in response to adverse environmental conditions. Transcription plays a central role in the progression of the chlamydial developmental cycle as well as entry into and recovery from persistence. The identification of the elusive {omega} subunit of chlamydial RNAP makes possible future study of its regulatory roles in gene expression during chlamydial growth, development, and stress responses. This discovery also paves the way to prepare and study the intact chlamydial RNAP and its interactions with inhibitors in vitro.

molecular biology↗

Neuronal SNAP-23 scales hippocampal synaptic plasticity and memory

Soluble NSF Attachment protein REceptor (SNARE)-mediated membrane fusion plays a crucial role not only in presynaptic vesicle exocytosis but also in postsynaptic receptor delivery. The latter is considered particularly important for long-term synaptic plasticity and learning and memory, yet underlying mechanisms including the identity of the key SNARE proteins remain elusive. Here, we investigate the role of neuronal Synaptosomal-Associated Protein-23 (SNAP-23) by analyzing pyramidal-neuron specific SNAP-23 conditional knockout (cKO) mice. SNAP-23 immunostaining in postsynaptic spines was effectively decreased in the SNAP-23 cKO hippocampus. Electrophysiological analysis of SNAP-23 deficient neurons using acute hippocampal slices showed normal basal neurotransmission in CA3-CA1 synapses with unchanged AMPA and NMDA currents. Nevertheless, we found theta-burst stimulation induced long-term potentiation (LTP) was vastly diminished in SNAP-23 cKO. Moreover, unlike syntaxin-4 cKO mice in which both basal neurotransmission and LTP decrease manifested changes in a broad set of behavioral tasks, deficits of SNAP-23 cKO is more limited to spatial memory. Our data reveal that neuronal SNAP-23 is selectively crucial for synaptic plasticity and spatial memory without affecting basal glutamate receptor function.

neuroscience↗

A Self-Healing, Viscoelastic Hydrogel Promotes Healing of Brain Lesions

Brain lesions can arise from traumatic brain injury, infection, and craniotomy. Although injectable hydrogels show promise for promoting healing of lesions and health of surrounding tissue, enabling cellular ingrowth and restoring neural tissue continue to be challenging. We hypothesized that these challenges arise in part from viscoelastic mismatch between the hydrogel and the brain parenchyma, and tested this hypothesis by developing and evaluating a self-healing hydrogel that mimicked both the composition and viscoelasticity of native brain parenchyma. The hydrogel was crosslinked by dynamic boronate ester bonds between phenylboronic acid grafted hyaluronic acid (HA-PBA) and dopamine grafted gelatin (Gel-Dopa). This HA-PBA/Gel-Dopa hydrogel could be injected into a lesion cavity in a shear-thinning manner with rapid hemostasis, high tissue adhesion and efficient self-healing. We tested this in an in vivo mouse model of brain lesions and found the hydrogel to support neural cell infiltration, decrease astrogliosis and glial scars, and close the lesions. The results suggest a role for viscoelasticity in brain lesion healing, and motivate additional experimentation in larger animals as the technology progresses towards potential application in humans.

bioengineering↗

Analysis of rhizosphere bacterial diversity of Angelica dahurica var. formosana based on different experimental sites and varieties (strains)

Only with good producing areas and good germplasm can good medicinal materials be produced. In this study, in order to explore the effects of soil environment and germplasm on yield and quality of Angelica dahurica var. formosana from microorganism level, Illumina MiSeq was used to study the rhizosphere bacterial diversity of A. dahurica var. formosana based on different origin and varieties (strains). The results showed that the bacterial community of A. dahurica var. formosana was stable and conserved to a certain extent, and the bacteria of Proteobacteria and Firmicutes might play an important role in improving the yield and quality of A. dahurica var. formosana. Soil variables were the key factors affecting the rhizosphere bacterial community composition of A. dahurica var. formosana. These results are of great significance for further understanding the growth promotion mechanism of beneficial rhizosphere bacteria, reducing fertilizer application, expanding planting area, improving soil environment, and improving yield and quality. ImportanceRhizosphere microorganisms play an important role in plant growth and accumulation of secondary metabolites. In this study, it was found for the first time that the rhizosphere bacterial community of A. dahurica var. formosana was relatively stable and conserved which could adapt to different environmental changes and resist the interference of external factors to a certain extent, providing a theoretical basis for distant planting and promotion of planting. The bacterial taxa of Proteobacteria and Firmicutes might play an important role in improving the yield and quality of A. dahurica var. formosana. This provided a theoretical basis for the exploitation and utilization of rhizosphere microbial resources of A. dahurica var. formosana to artificially control the soil environment and provided a new idea for increasing yield and quality of A. dahurica var. formosana.

microbiology↗

Chitinase 3-like-1 Contributes to Acetaminophen-induced Liver Injury by Promoting Hepatic Platelet Recruitment

Hepatic platelet accumulation contributes to acetaminophen (APAP)-induced liver injury (AILI). However, little is known about the molecular pathways involved in platelet recruitment to the liver and whether targeting such pathways could attenuate AILI. The present study unveiled a critical role of chitinase 3-like-1 (Chi3l1) in hepatic platelet recruitment during AILI. Increased Chi3l1 and platelets in the liver were observed in patients and mice overdosed with APAP. Compared to wild-type (WT) mice, Chi3l1-/- mice developed attenuated AILI with markedly reduced hepatic platelet accumulation. Mechanistic studies revealed that Chi3l1 signaled through CD44 on macrophages to induce podoplanin expression, which mediated platelet recruitment through C-type lectin-like receptor 2. Moreover, APAP treatment of CD44-/- mice resulted in much lower numbers of hepatic platelets and liver injury than WT mice, a phenotype similar to that in Chi3l1-/- mice. Recombinant Chi3l1 could restore hepatic platelet accumulation and AILI in Chi3l1-/- mice, but not in CD44-/- mice. Importantly, we generated anti-Chi3l1 monoclonal antibodies and demonstrated that they could effectively inhibit hepatic platelet accumulation and AILI. Overall, we uncovered the Chi3l1/CD44 axis as a critical pathway mediating APAP-induced hepatic platelet recruitment and tissue injury. We demonstrated the feasibility and potential of targeting Chi3l1 to treat AILI.

pharmacology and toxicology↗

Deacetylation of IFIT2 mediated by HDAC5 promotes the stemness and progression of glioma

BackgroundGlioma is the most common primary brain tumor, and the tumor stemness is a major regulatory factor affecting the progression, metastasis and recurrence of glioma. Recent research has shown that, nonhistone acetylation is widely involved in key cellular processes, including stemness regulation. The deacetylase inhibitors are promising new drugs, but their application and molecular mechanism in glioma have not been elucidated. MethodsCCK8 and colony formation assay were used to detect cell proliferation, transwell assay was used to detect cell migration, flow cytometry was used to analyze cell apoptosis, sphere formation assay and western blot were used to detect the status of stemness. RNA-sequence, quantitative PCR and western blot were performed to screen the key molecules mediating LBH589 function. Immunoprecipitation (IP) and western blot were used to analyze the acetylation level of IFIT2. The SiRNA target HDAC4 or HDAC5, overexpression plasmids of acetyltransferases were used to identify the acetyltransferase and deacetylase regulating IFIT2. The regulatory mechanism was explored by IP and ubiquitination analysis. Finally, the xenograft tumor model in nude mice was constructed and further analyzed in vivo. ResultsThe data showed that IFIT2 mediates the HDACi LBH589 inhibition on cell proliferation, migration and stemness, and contribution to autophagy and apoptosis in glioma. And the down-regulation of IFIT2 in glioma was confirmed to be related to its deacetylation by overexpression HDAC5, which promotes the stemness and progression of glioma. Further, deacetylation of IFIT2 by HDAC5 was demonstrated to induce its ubiquitination and subsequent protein instability, which led to loss of anti-tumor activity for IFIT2, and acceleration to glioma stemness and progression. In addition, the results indicated that IFIT2 inhibits PKC pathway, and suppressing of IFIT2 promotes tumor growth in vivo. ConclusionsThese results not only clarify a novel post-transcriptional regulatory mode of IFIT2, but also provide a new sight of molecular mechanism for HDACi in glioma.

cancer biology↗

Crosstalk in oxygen homeostasis networks: SKN-1/NRF inhibits the HIF-1 hypoxia-inducible factor in Caenorhabditis elegans

During development, homeostasis, and disease, organisms must balance responses that allow adaptation to low oxygen (hypoxia) with those that protect cells from oxidative stress. The evolutionarily conserved hypoxia-inducible factors are central to these processes, as they orchestrate transcriptional responses to oxygen deprivation. Here, we employ genetic strategies in C. elegans to identify stress-responsive genes and pathways that modulate the HIF-1 hypoxia-inducible factor and facilitate oxygen homeostasis. Through a genome-wide RNAi screen, we show that RNAi-mediated mitochondrial or proteasomal dysfunction increases the expression of hypoxia-responsive reporter Pnhr-57:GFP in C. elegans. Interestingly, only a subset of these effects requires hif-1. Of particular importance, we found that skn-1 RNAi increases the expression of hypoxia-responsive reporter Pnhr-57:GFP and elevates HIF-1 protein levels. The SKN-1/NRF transcription factor has been shown to promote oxidative stress resistance. We present evidence that the crosstalk between HIF-1 and SKN-1 is mediated by EGL-9, the prolyl hydroxylase that targets HIF-1 for oxygen-dependent degradation. Treatment that induces SKN-1, such as heat, increases expression of a Pegl-9:GFP reporter, and this effect requires skn-1 function and a putative SKN-1 binding site in egl-9 regulatory sequences. Collectively, these data support a model in which SKN-1 promotes egl-9 transcription, thereby inhibiting HIF-1. We propose that this interaction enables animals to adapt quickly to changes in cellular oxygenation and to better survive accompanying oxidative stress.

genetics↗