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Biology subjects

Hu, D.

Publications and source records attributed to Hu, D..

At least 37 records · Page 2Linked to original sources

Self-Reactive B Cells in Artery Tertiary Lymphoid Organs Encode Pathogenic High Affinity Autoantibody in Atherosclerosis

Artery tertiary lymphoid organs (ATLOs) emerge in atherosclerosis which is a chronic inflammatory artery disease with an autoimmune component. However, whether disease-relevant autoimmune B cells emerge in ATLOs and their impacts remains unknown. To map atherosclerosis-specific humoral autoimmunity and define its roles, we isolated germinal-center (GC) B cells from ATLOs and lymph-nodes, expression-cloned 60 autoantibodies and screened them for arterial wall reactivity. ATLO-derived autoantibodies markedly skewed to atherosclerosis-relevant autoantigens versus those of lymph-nodes. One ATLO GC-derived autoantibody bound to histone 2B (H2B) with high-affinity ([~]25 nM). Moreover, vaccination with H2B or adoptive transfer of its cognate autoantibody markedly accelerated atherosclerosis suggesting that ATLOs fail to delete pathogenic high-affinity self-reactive B cells. In a human cohort, total circulating anti H2B antibody titers positively correlated with aortic and coronary artery calcification. We conclude that ATLOs harbor a dysregulated immune tolerance environment permissive for autoreactive B cells that express pathogenic autoantibodies driving atherosclerosis.

immunology↗

Genome-wide rules of transcription factor cooperativity revealed through in silico binding site ablation

Transcription factor (TF) cooperativity plays a critical role in gene regulation. However, the underlying genomic rules remain unclear, calling for scalable methods to characterize the TF binding site (motif) syntax of regulatory elements. Here, we introduce DeepCompARE, a lightweight model paired with an in silico ablation (ISA) framework for genome-wide analysis of regulatory sequences. Our framework enables precise interpretation of the motif syntax governing chromatin accessibility, enhancer activity, and promoter function. We find that most TF motifs are pairwise independent, indicating a default additive behavior of TFs, and define a cooperativity score to quantify deviations from this baseline. This reveals synergy and redundancy as opposite effects along the same cooperative spectrum. TF redundancy is linked to promoter activity and broad expression, whereas TF synergy is associated with enhancer activity, physical interactions, and cell-type specificity. Our framework provides a quantitative model for TF cooperativity, offering new insights into gene regulatory logic.

bioinformatics↗

Spatial Transcriptomics Analysis Uncovers ER stress in MANF-deficient Purkinje Cells Underlying Alcohol-induced Cerebellar Vulnerability in Mice

Cerebellar Purkinje cells (PCs) are among the most vulnerable neurons to alcohol neurotoxicity. Alcohol can induce endoplasmic reticulum (ER) stress and alter the structure and function of PCs. Mesencephalic astrocyte-derived neurotrophic factor (MANF) is an ER stress inducible protein highly expressed in PCs. It is neuroprotective in various pathological conditions where ER stress is induced. However, it is unknown whether MANF plays a role in protecting PCs from alcohol induced ER stress. In this study, we generated PC-specific MANF knockout (KO) mouse model to test the hypothesis that MANF deficient PCs are more susceptible to binge alcohol exposure induced ER stress and neurodegeneration in the adult brain. We found that PC-specific MANF KO animals show moderate motor function deficit, which was exacerbated by alcohol exposure. Interestingly, female KOs were more sensitive than male KOs to alcohol-induced motor function impairments. In accordance with the behavior changes, alcohol exposure also caused UPR activation, increased intranuclear expression of calcium binding protein Calbindin, and PC degeneration in female but not male MANF KO mice. Spatial transcriptomics and high throughput in situ analyses demonstrated that MANF deficiency altered the transcriptomic landscape in PCs in a sex-specific manner and triggered the expression of genes involved in protein folding and response to ER stress. These results suggests that MANF KO PCs may be predisposed with a higher risk to UPR activation and ER stress in a sex dependent manner, contributing to their vulnerability to alcohol neurotoxicity.

molecular biology↗

OLIVE Provides Rapid Visualization and Analysis of Chromatin Tracing Experiments

Optical chromatin tracing experiments directly capture the three-dimensional folding of thousands of individual alleles, highlighting the need for a tool that enables fast, interactive, and analytical browsing of such data. Here, we introduce Optical Looping Interactive Viewing Engine (OLIVE), a web-based tool designed for high-throughput chromatin tracing data that functions similarly to genome browsers. OLIVE allows users, regardless of computational expertise, to input their own data for automated reconstruction of chromatin fibers at individual alleles or to browse annotated publicly available datasets. Using OLIVEs functionalities, users can interact with three-dimensional presentation of traced alleles and query them based on spatial features, including pairwise distances and perimeters between their segments. Finally, OLIVE calculates and presents several polymer physics metrics of each allele, providing quantitative summaries for hypothesis-driven studies. OLIVE is an open-source project accessible at https://faryabilab.github.io/chromatin-traces-vis/.

bioinformatics↗

Alcohol Disrupts Neural Differentiation Through Endoplasmic Reticulum Stress and PERK Pathway Activation

Prenatal alcohol exposure (PAE) can lead to fetal alcohol spectrum disorder (FASD), a condition marked by developmental brain defects that result in neurobehavioral and cognitive impairments. However, the underlying molecular mechanisms remain poorly understood. Brain development is a highly regulated process, with neurogenesis playing a crucial role. A key stage in this process is neural differentiation, which is essential for proper brain function. This study aims to investigate how alcohol disrupts neural differentiation. NE-4C cells, a neural stem cell line derived from the mouse embryonic brain, were utilized as an in vitro model. As an in vivo model, pregnant mice were exposed to alcohol between gestation days 14 and 16, after which newly formed neurons in the ventricular zone (VZ) were analyzed. To examine the role of endoplasmic reticulum (ER) stress, tunicamycin (TM), and MANF-deficient NE-4C cells were employed. Neural differentiation was assessed using immunofluorescence, immunoblotting and flow cytometry. Alcohol impaired the differentiation of NE-4C cells into neurons and astrocytes without impacting cell migration. It also induced ER stress, preferably activating the PERK pathway. Similarly, ER stress caused by TM and MANF deficiency disrupted neural differentiation and activated PERK. Inhibiting PERK mitigated alcohol-induced impairment of neuronal differentiation. PAE decreased the number of newly formed neurons in the VZ of fetal brain while having little effects on cell survival and proliferation. Inhibiting PERK partially reversed the reduction of new neurons caused by PAE. Thus, alcohol-induced ER stress, particularly PERK activation, may contribute to impaired neurogenesis linked to FASD.

pharmacology and toxicology↗

A lipoprotein partner for the Escherichia coli outer membrane protein TolC

The outer-membrane protein TolC from Escherichia coli belongs to an extensive superfamily whose members are found throughout the didermal, Gram-negative bacterial lineages. The protein serves as an activated exit duct in multi-drug efflux pumps and protein secretion machinery. Many TolC homologs bear a lipid modification on the N-terminus that embeds into the inner leaflet of the outer membrane and appears to have been a conserved feature; however, the moiety is absent entirely in the E. coli TolC. We have discovered that the E. coli lipoprotein YbjP interacts extensively with the periplasmic surface of TolC and its N-terminal lipid moiety is embedded in the membrane, mimicking the intramolecular and modification-membrane interactions seen in TolC homologs. Here, we present cryo-EM structures of the MacA-MacB-TolC and AcrA-AcrB-TolC tripartite pumps complexed to YbjP. Although the association occurs spontaneously both in vitro and in vivo, the YbjP-TolC interaction is not required for efflux activity under standard laboratory conditions. YbjP may contribute stabilising the orientation and distribution of TolC in the outer membrane as well as the expression of transporters for tryptophan and cyclic peptide toxins.

molecular biology↗

Homoharringtonine Promotes FTO Degradation to Suppress LILRB4-Mediated Immune Evasion in Acute Monocytic Leukemia

Acute monocytic leukemia (AML-M5), a subtype of acute myeloid leukemia, is a highly aggressive malignancy characterized by a poor prognosis, primarily due to the ability of leukemic cells to evade immune surveillance. In this study, we demonstrate that homoharringtonine (HHT), an FDA-approved therapeutic agent for chronic myeloid leukemia (CML), inhibits this immune evasion by targeting the FTO/m6A/LILRB4 signaling pathway in monocytic AML. Utilizing RNA sequencing (RNA-seq) and various functional assays, we reveal that HHT treatment significantly reduces LILRB4 expression at both the RNA and protein levels, suggesting that the effects of HHT on LILRB4 are distinct from its well-established role as a protein synthesis inhibitor. Mechanistically, HHT treatment markedly increases global levels of RNA m6A in THP-1 cells by promoting the degradation of FTO, which subsequently diminishes the expression of its downstream targets, MLL1 and LILRB4. Furthermore, in vitro and in vivo analyses employing monocytic AML cell lines, mouse-derived AML xenograft models, and patient samples collectively support the conclusion that HHT suppresses immune evasion in monocytic AML by reducing LILRB4 expression. Importantly, the downregulation of LILRB4 resulting from HHT treatment enhances the susceptibility of THP-1 cells to CD8+ T cell cytotoxicity, accompanied by increased markers of immune activation. Overall, our findings position HHT as a promising clinical agent for enhancing CD8+ T cell-based cancer immunotherapy by mitigating immune evasion in monocytic AML. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=147 HEIGHT=200 SRC="FIGDIR/small/643466v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@e72e5dorg.highwire.dtl.DTLVardef@19519aeorg.highwire.dtl.DTLVardef@1c8f786org.highwire.dtl.DTLVardef@f2a963_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Effects of alcohol on gut microbiome in adolescent and adult MMTV-Wnt1 mice

Breast cancer is the most commonly diagnosed cancer in women worldwide, with alcohol consumption recognized as a significant risk factor. While epidemiological studies consistently show a positive correlation between alcohol consumption and increased breast cancer risk, the underlying mechanisms remain unclear. Recent evidence suggests that the gut microbiome--the diverse collection of microorganisms, including bacteria, viruses, and fungi, residing in the gastrointestinal tract--plays a pivotal role in systemic health and disease. This is achieved through its regulation of key physiological processes such as metabolism, immune function, and inflammatory responses. Disruption of the gut microbiome (dysbiosis) has recently been implicated in the development of breast cancer. We hypothesized that alcohol exposure induces gut dysbiosis, which in turn drives systemic inflammation and carcinogenic processes. Previously, we demonstrated that alcohol exposure promotes mammary tumor growth and aggressiveness in MMTV-Wnt1 (Wnt1) transgenic mice, an established model for investigating mechanisms of alcohol-induced tumor promotion. In this study, we sought to determine whether alcohol exposure induces gut dysbiosis in adolescent and adult Wnt1 transgenic mice and their wild-type FVB counterparts. Our findings revealed that alcohol exposure significantly reduced microbiome richness in adult Wnt1 and FVB mice. Alcohol exposure also markedly altered microbiome composition in adolescents and adults in both strains. Additionally, we identified specific microbial taxa that were significantly affected by alcohol exposure. These results demonstrate that alcohol disrupts the gut microbiome in a preclinical breast cancer model, providing insights into the potential role of gut dysbiosis in alcohol-induced mammary tumor promotion and offering avenues for future research.

cancer biology↗

Targeting the ClpP-αSynuclein Interaction with a Decoy Peptide to Mitigate Neuropathology in Parkinson's Disease Models

Parkinsons disease (PD), the most prevalent neurodegenerative movement disorder, is characterized by the progressive loss of dopaminergic (DA) neurons and the accumulation of -synuclein (Syn)-rich inclusions. Despite advances in understanding PD pathophysiology, disease-modifying therapies remain elusive, underscoring gaps in our knowledge of its underlying mechanisms. Mitochondria are key targets of Syn toxicity, and growing evidence suggests that Syn-mitochondrial interactions contribute to PD progression. Our recent findings identify mitochondrial protease ClpP as a crucial regulator of Syn pathology, with pathological Syn binding to and impairing ClpP function, thereby exacerbating mitochondrial impairment and neurodegeneration. To disrupt this deleterious interaction, we developed a decoy peptide, CS2, which directly binds to the non-amyloid-{beta} component (NAC) domain of Syn, preventing its association with ClpP. CS2 treatment effectively mitigated Syn toxicity in an Syn-stable neuronal cell line, primary cortical neurons inoculated with Syn pre-formed fibrils (PFFs), and DA neurons derived from PD patient-induced pluripotent stem cells (iPSCs). Notably, subcutaneous administration of CS2 in transgenic mThy1-hSNCA PD mice rescued cognitive and motor deficits while reducing Syn aggregation and neuropathology. These findings establish the ClpP-Syn interaction as a druggable target in PD and position CS2 as a promising therapeutic candidate for PD and other Syn-associated neurodegenerative disorders.

neuroscience↗

A Bayesian decision-making model of implicit motor learning from internal and external errors

A key challenge for the sensorimotor system is deciding which errors to learn from and which to ignore. Recent work has shown that humans are remarkably precise in parsing movement errors into internally- and externally-generated components for this purpose: Participants automatically ignore internally-generated reaching errors caused by motor noise, yet implicitly adapt to size-matched externally-generated errors caused by visuomotor rotations (Ranjan & Smith 2018, 2022). Following replication of these results with 16 neurotypical adults, we formalized our understanding of this behavior with a novel Bayesian decision-making model. The Parsing of Internal and External Causes of Error (PIECE) model frames adaptation as a process of causal inference regarding the source of error, with the magnitude of motor corrections reflecting a combination of state estimation and the observers degree-of-belief that their movement was externally perturbed. Thus, PIECE presents a challenge to a class of computational models that frames adaptation as a process of re-aligning the perceived hand position with the movement goal. We show that only PIECE can capture the precise parsing of internal versus external errors observed. Combined, this work provides a normative explanation of how the nervous system discounts intrinsic motor noise and adapts to perturbations, keeping movements finely-calibrated.

neuroscience↗

Local Gradients of Functional Connectivity Enable Precise Fingerprinting of Infant Brains During Dynamic Development

Brain functional connectivity patterns exhibit distinctive, individualized characteristics capable of distinguishing one individual from others, like fingerprint. Accurate and reliable depiction of individualized functional connectivity patterns during infancy is crucial for advancing our understanding of individual uniqueness and variability of the intrinsic functional architecture during dynamic early brain development, as well as its role in neurodevelopmental disorders. However, the highly dynamic and rapidly developing nature of the infant brain presents significant challenges in capturing robust and stable functional fingerprint, resulting in low accuracy in individual identification over ages during infancy using functional connectivity. Conventional methods rely on brain parcellations for computing inter-regional functional connections, which are sensitive to the chosen parcellation scheme and completely ignore important fine-grained, spatially detailed patterns in functional connectivity that encodes developmentally-invariant, subject-specific features critical for functional fingerprinting. To solve these issues, for the first time, we propose a novel method to leverage the high-resolution, vertex-level local gradient map of functional connectivity from resting-state functional MRI, which captures sharp changes and subject-specific rich information of functional connectivity patterns, to explore infant functional fingerprint. Leveraging a longitudinal dataset comprising 591 high-resolution resting-state functional MRI scans from 103 infants, our method demonstrates superior performance in infant individual identification across ages. Our method has unprecedentedly achieved 99% individual identification rates across three age-varied sub-datasets, with consistent and robust identification rates across different phase encoding directions, significantly outperforming atlas-based approaches with only around 70% accuracy. Further vertex-wise uniqueness and differential power analyses highlighted the discriminative identifiability of higher-order functional networks. Additionally, the local gradient-based functional fingerprints demonstrated reliable predictive capabilities for cognitive performance during infancy. These findings suggest the existence of unique individualized functional fingerprints during infancy and underscore the potential of local gradients of functional connectivity in capturing neurobiologically meaningful and fine-grained features of individualized characteristics for advancing normal and abnormal early brain development.

neuroscience↗

Oligomerization of PRMT1 Regulated RNA-Binding Protein Cascade Promotes Pancreatic Ductal Adenocarcinoma

PRMT1 is the predominant type I protein arginine methyltransferase responsible for generating monomethylarginine and asymmetric dimethylarginine (MMA and ADMA) in various protein substrates. It regulates numerous biological processes, including RNA metabolism, mRNA splicing, DNA damage repair, and chromatin dynamics. The crystal structure of rat PRMT1 has been previously reported as a homodimer; however, higher-order oligomeric species of human PRMT1 have been observed in vivo, and their structural basis remains elusive. In this study, we present the cryo-EM structure of human PRMT1 in its oligomeric form, revealing novel interfaces crucial for PRMT1 self-assembly and normal function. PRMT1 shows a strong preference for intrinsically disordered RGG/RG motifs, which are commonly found in RNA-binding proteins (RBPs), highlighting its critical role in regulating RNA metabolism. In vitro studies indicate that disrupting PRMT1 oligomerization impairs its binding affinity for RGG motif substrates, thereby reducing arginine methylation levels on these substrates. This finding emphasizes the essential role of the oligomeric state of PRMT1 in its function with RGG motif-containing RBPs. In vivo, the loss of PRMT1 oligomerization leads to decreased global ADMA levels in pancreatic ductal adenocarcinoma (PDAC) cells and inhibits PDAC tumor growth. Collectively, we propose that PRMT1 oligomerization, rather than mere dimerization, is sufficient for PRMT1-driven PDAC tumor growth, offering novel insights into the potential therapeutic targeting of PRMT1 oligomeric forms in PDAC. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=177 SRC="FIGDIR/small/627716v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@1ed6232org.highwire.dtl.DTLVardef@1c9e688org.highwire.dtl.DTLVardef@3e2c43org.highwire.dtl.DTLVardef@1cbf33e_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Downstream branches of receptor tyrosine kinase signaling act interdependently to shape the face

BackgroundPreviously we found that increasing fibroblast growth factor (FGF) signaling in the neural crest cells within the frontonasal process (FNP) of the chicken embryo caused dysmorphology that was correlated with reduced proliferation, disrupted cellular orientation, and lower MAPK activation but no change in PLCy and PI3K activation. This suggests RTK signaling may drive craniofacial morphogenesis through specific downstream effectors that affect cellular activities. In this study we inhibited three downstream branches of RTK signaling to determine their role in regulating cellular activities and how these changes affect morphogenesis of the FNP. ResultsSmall molecule inhibitors of MEK1/2, PI3K, and PLCy were delivered individually and in tandem to the right FNP of chicken embryos. All treatments caused asymmetric proximodistal truncation on the treated side and a mild expansion on the untreated side compared to DMSO control treated FNPs. Inhibiting each pathway caused similar decreased proliferation and disrupted cellular orientation, but did not affect apoptosis. ConclusionsSince RTK signaling is a ubiquitous and tightly regulated biochemical system we conclude that the downstream pathways are robust to developmental perturbation through redundant signaling systems. Bullet pointsInhibiting three downstream effectors of receptor tyrosine kinase (RTK) signaling (MEK1/2, PLCy, and PI3K) in the frontonasal process of chicken embryos caused similar mild truncation of growth. Combining all three inhibitors had a slightly stronger effect on truncation. Individual inhibitors did not have specific effects on cellular proliferation, apoptosis, or cellular orientation. The downstream branches of RTK signaling likely have shared interdependent effects on cellular activities that contribute to morphogenesis.

developmental biology↗

Rab2B promotes chaperonin-mediated actin folding and prevents developmental transcription reprogramming and quiescence in trypanosomes

The Rab family of small GTPases are regulators of intracellular membrane trafficking. Rab2B, a Golgi-resident Rab GTPase, has been shown to function in ER-Golgi transport and autophagosome-lysosome fusion in mammalian cells and Drosophila. In Trypanosoma brucei, the autophagy-related function of Rab2B was conserved and depletion of Rab2B blocked autophagosome-lysosome fusion. Intriguingly, depletion of Rab2B induced differentiation of T. brucei from a proliferative slender form to a quiescent stumpy form, a step crucial for parasite transmission. Chaperonin CCT/TRiC was identified as an effector of Rab2B. Depletion of CCT/TRiC subunits or actin (a known CCT/TRiC substrate), or blocking actin polymerisation with Latrunculin A all triggered differentiation, suggesting a role of Rab2B on CCT/TRiC-mediated actin folding. Using an actin chromobody, we identified a pool of nuclear actin that is crucial for transcription reprogramming and life cycle differentiation in T. brucei. The study revealed a function of Rab2B and actin in T. brucei transcription reprogramming leading to cell differentiation, and an unexpected role of Rab2B and CCT/TRiC mediated actin folding.

cell biology↗

SPACE: STRING proteins as complementary embeddings

Representation learning has revolutionized sequence-based prediction of protein function and subcellular localization. Protein networks are an important source of information complementary to sequences, but the use of protein networks has proven to be challenging in the context of machine learning, especially in a cross-species setting. To address this, we leveraged the STRING database of protein networks and orthology relations for 1,322 eukaryotes to generate network-based cross-species protein embeddings. We did this by first creating species-specific network embeddings and subsequently aligning them based on orthology relations to facilitate direct cross-species comparisons. We show that these aligned network embeddings ensure consistency across species without sacrificing quality compared to species-specific network embeddings. We also show that the aligned network embeddings are complementary to sequence embedding techniques, despite the use of seqeuence-based orthology relations in the alignment process. Finally, we demonstrate the utility and quality of the embeddings by using them for two well-established tasks: subcellular localization prediction and protein function prediction. Training logistic regression classifiers on aligned network embeddings and sequence embeddings improved the accuracy over using sequence alone, reaching performance numbers close to state-of-the-art deep-learning methods. A set of precomputed cross-species network embeddings and ProtT5 embeddings for all eukaryotic proteins have been included in STRING version 12.0.

bioinformatics↗

Pan-Prediction of MHC-II Restricted Epitopes Across Species via an Alphafold-based Quantification Scheme

Predicting MHC-II restricted epitopes across species used to be challenging, but Alphafold (AF) may provide a structure-based pan-prediction solution. In this study, we established the new tool AF-pred with a clear standard for quantitative prediction results. Compared to the sequence-based tools heavily trained with human ligandome, AF-pred does not show advantage in predicting the binding patterns of human HLA-II but has far better performance in predicting binding patterns of other animals MHC-II. Using recently resolved bat MHC-II structures, we analyzed AF-preds prediction capability, logic and limitation. In addition, we also explored the impact of AF algorithm iterations on the prediction of MHC-II restricted epitopes. The results demonstrated that AF-pred is capable of cross-species prediction of MHC-II restricted epitopes and is conducive to the development of novel veterinary vaccines.

immunology↗

D-lactate derived from intestinal bacteria drives lysine D-lactylation to modulate transcription in liver cells

Emerging evidence indicates that the accumulated D-lactate (D-la) from intestinal bacteria induces diverse effects in human intestinal injury diseases. However, its regulatory mechanism and functional consequence remain unclear. Here, we show that the secreted D-la induces lysine D-lactylation (K-Dla) to modulate transcription in host cells. We uncover K-Dla in HepG2 cells stimulated by D-la from E. coli secretions. Then, we confirm the occurrence of D-la-driven K-Dla by four orthogonal approaches. We further validate that the existence of K-Dla in organisms by detecting the mouse liver and human intestinal tissue. Besides, we demonstrate a SCOT1-catalyzed biosynthetic pathway of D-lactyl-CoA, serving as a key donor for K-Dla. Next, we identify the K-Dla landscape with 2895 sites and further suggest the regulation of histone K-Dla in transcription by MNase ChIP-seq and RNA-seq assays. Finally, we show the potential effect of K-Dla on inhibiting the hepatocellular carcinoma cell proliferation. In summary, we report that the secreted D-la can induce K-Dla to regulate transcription, providing a new insight into the function of D-la secreted by gut microbiota and the effect of protein chemical modifications induced by bacterial secretions.

molecular biology↗

MALT1 protease inhibition restrains glioblastoma progression by reversing tumor-associated macrophage-dependent immunosuppression

MALT1 protease is an intracellular signaling molecule that promotes tumor progression via cancer cell-intrinsic and cancer cell-extrinsic mechanisms. MALT1 has been mostly studied in lymphocytes, and little is known about its role in tumor-associated macrophages. Here, we show that MALT1 plays a key role in glioblastoma (GBM)-associated macrophages. Mechanistically, GBM tumor cells induce a MALT1-NF-{kappa}B signaling axis within macrophages, leading to macrophage migration and polarization toward an immunosuppressive phenotype. Inactivation of MALT1 protease promotes transcriptional reprogramming that reduces migration and restores a macrophage "M1-like" phenotype. Preclinical in vivo analysis shows that MALT1 inhibitor treatment results in increased immuno-reactivity of GBM-associated macrophages and reduced GBM tumor growth. Further, the addition of MALT1 inhibitor to temozolomide reduces immunosuppression in the tumor microenvironment, which may enhance the efficacy of this standard-of-care chemotherapeutic. Together, our findings suggest that MALT1 protease inhibition represents a promising macrophage-targeted immunotherapeutic strategy for the treatment of GBM. Graphical abstract. O_FIG O_LINKSMALLFIG WIDTH=196 HEIGHT=200 SRC="FIGDIR/small/614808v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@18c969eorg.highwire.dtl.DTLVardef@f48f0dorg.highwire.dtl.DTLVardef@1dbbbb1org.highwire.dtl.DTLVardef@ff8237_HPS_FORMAT_FIGEXP M_FIG The effects of tumor cell-induced CARD9-BCL10-MALT1 (CBM) activation (left) and MALT1 protease inhibition (right) on GBM associated macrophages in the tumor microenvironment. Cartoon of cellular components of a GBM tumor with an immunosuppressive TME characterized by "M2-like macrophages" (left) and conversion to a more immune-reactive tumor microenvironment characterized by "M1-like macrophages and increased effector T-cells (right) as a result of MALT1 protease inhibition. C_FIG

cancer biology↗