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Sharma, A. K.

Publications and source records attributed to Sharma, A. K..

At least 37 records · Page 2Linked to original sources

Lamin A/C Deficiency Drives Genomic Instability and Poor Survival in Small-Cell Lung Cancer through Increased R-loop Accumulation

Lamin A/C (LMNA), a key component of the nuclear envelope, is essential for maintaining nuclear integrity and genome organization [1]. While LMNA dysregulation has been implicated in genomic instability across cancer and aging, the underlying mechanisms remain poorly understood [2]. Here, we investigate LMNAs role in small-cell lung cancer (SCLC), a highly aggressive malignancy characterized by extreme genomic instability [3, 4]. We demonstrate that LMNA depletion promotes R-loop accumulation, transcription-replication conflicts, replication stress, DNA breaks, and micronuclei formation. Mechanistically, LMNA loss disrupts nuclear pore complex distribution, reducing phenylalanine-glycine (FG)-nucleoporin incorporation and impairing RNA export efficiency. Furthermore, we show that LMNA expression is epigenetically repressed by EZH2 during SCLC differentiation from neuroendocrine (NE) to non-NE states. Clinically, low LMNA levels correlate with significantly worse survival in SCLC patients. These findings uncover a novel role for LMNA in safeguarding genome integrity and shaping tumor heterogeneity, with broad implications for cancer and aging. Significance StatementLamin A/C, a key structural component of the nuclear envelope, is frequently lost or mutated in cancer, laminopathies, and aging-related disorders. Lamin A/C loss is associated with genomic instability, but the underlying mechanisms remain incompletely understood. We demonstrate that LMNA loss drives genomic instability by promoting R-loop accumulation through disrupted nuclear pore dynamics and impaired RNA export. These findings reveal a previously unrecognized link between LMNA loss, nuclear envelope dysfunction, and genome instability. Targeting this pathway could help mitigate genomic instability in aging and laminopathies, while leveraging R-loop accumulation may enhance the efficacy of DNA-damaging therapies in cancer.

cancer biology↗

Single Nuclei-Derived Molecular Subtypes of Gastrointestinal Stromal Tumors Correlate with Clinicopathologic Features and Predict Clinical Outcomes

Historically, gastrointestinal stromal tumor (GIST) has been subtyped by oncogenic driver mutations. However, tumors with the same mutational profile can have variable biology. To further explore the impact of molecular diversity on GIST biology, we performed single nucleus RNA sequencing on 16 primary GIST and utilized an integrated single cell atlas of the normal GI tract composed from multiple publicly available datasets to identify six distinct GIST cell states. We then statistically estimated the relative abundances of these profiles in bulk transcriptomic data. These were used to define six common GIST molecular subtypes based upon one or two predominant tumor cell states. We found that these molecular subtypes correlate with tumor locations, mutational profiles, and patient outcomes, and validated these subtypes in an independent international cohort. These molecular subtypes have the potential to be used for clinical prognostication for patients with GIST, identifying new therapeutic targets, and studying the cell of transformation of GIST.

cancer biology↗

Genomic Dissection of Metabolism, Prophage Elements, and Ecological Adaptations in Candidatus Liberibacter asiaticus

Candidatus Liberibacter asiaticus (CLas) is an obligate intracellular pathogen that causes citrus greening disease. Prolonged host association has driven reductive evolution and functional adaptation, leaving central carbon metabolism disrupted by the absence of phosphoglucose isomerase (pgi) in glycolysis and transaldolase in the pentose phosphate pathway (PPP). Here, we characterized the bifunctional enzyme, pyrophosphate-fructose-6-phosphate 1-phosphotransferase (PFP), that connects glycolysis and PPP. PFP primarily converts D-fructose 6-phosphate (F6P) to D-fructose 1,6-bisphosphate (FBP). The proposed alternative function of PFP is the conversion of D-sedoheptulose 7-phosphate (S7P) to D-sedoheptulose 1,7-bisphosphate (SBP), and this reaction is part of the sedoheptulose 1,7-bisphosphate pathway (SBPP). To validate this, the recombinant CLas PFP was heterologously expressed, purified, and biochemically characterized. Biochemical characterization showed comparable affinity for F6P and S7P, with Km values of 66.62 {+/-} 5.4 uM and 57.5 {+/-} 2.85 uM respectively. In-silico analysis showed distinct motifs that reflect specificity for phosphoryl donors among phosphofructokinase isoforms. Biophysical characterization showed that PFP loses conformational stability above 50 degree C and at pH 11.0. The study demonstrates that CLas PFP catalyzes the conversion of S7P to SBP, validating its dual function.

biochemistry↗

Temporal changes in the protein cargo of extracellular vesicles and resultant immune reprogramming after severe burn injury in humans and mice.

IntroductionSevere injury, including burn trauma, leads to profound immune dysfunction, yet the mechanisms driving these changes remain incompletely defined. This lack of understanding has hindered efforts to modulate the immune response effectively. Additionally, a clear biomarker profile to guide clinicians in identifying burn patients at high risk for poor clinical outcomes is lacking. Extracellular vesicles (EVs) have emerged as novel mediators of immune dysfunction in various pathologies. Prior studies in mouse models have demonstrated that plasma EVs increase following burn injury and contribute to immune dysfunction. Furthermore, EVs have potential as biomarkers for predicting extended hospital stays in burn patients. This study hypothesizes that human EVs, purified early and late after burn injury, will exhibit immune reprogramming effects similar to those observed in mice and that specific EV protein cargo may serve as biomarkers of immune and physiological responses to burn injury. MethodsEVs were isolated from the plasma of burn-injury patients at early (<72h) and late ([&ge;]14 days) time points post-injury. Using unbiased immune transcriptome and bioinformatic causal network analyses, the immunomodulatory effects of these EVs were assessed in human THP-1 macrophages. Mass spectrometry-based quantitative proteomics and pathway analyses were conducted to characterize the protein cargo of EVs from both human and mouse models at different post-burn phases. ResultsEarly post-burn human EVs induced significant immune reprogramming in macrophages, increasing pro-inflammatory signaling while suppressing anti-inflammatory pathways. In contrast, late post-burn EVs exhibited an immunosuppressive profile, with downregulation of pro-inflammatory pathways and upregulation of anti-inflammatory signaling. Proteomic analyses revealed that human and mouse EVs contained unique and overlapping protein cargo across different time points. At day 7 post-burn, mouse EVs were enriched in circulation/complement and neuronal proteins, whereas by day 14, reductions in membrane and metabolism-associated proteins were observed. Similarly, in human EVs at 14 days post-burn, increased levels of circulation/complement, immune, and transport proteins were detected. ConclusionsEVs from burn-injury patients at distinct time points differentially modulate immune responses in macrophages, mirroring the temporal immune phenotypes observed in clinical settings. These findings suggest that EV-macrophage interactions play a crucial role in burn-induced immune dysfunction and highlight the potential of EV protein cargo as biomarkers for immune status and patient outcomes following burn injury. Summary SentenceHuman extracellular vesicles released into the plasma after severe burn injury can reprogram the immune system with corresponding immunomodulatory protein cargo.

immunology↗

Nectin-4 PET For Optimizing Enfortumab Vedotin Dose-Response In Urothelial Carcinoma

The optimization of dosing strategies is critical for maximizing efficacy and minimizing toxicity in drug development, particularly for drugs with narrow therapeutic windows such as antibody-drug conjugates (ADCs). This study demonstrates the utility of Nectin-4-targeted positron emission tomography (PET) imaging using [68Ga]AJ647 as a non-invasive tool for real-time assessment of target engagement in enfortumab vedotin (EV) therapy for urothelial carcinoma (UC). By leveraging the specificity of [68Ga]AJ647 for Nectin-4, we quantified dynamic changes in target engagement across preclinical models and established its correlation with therapeutic outcomes. PET imaging revealed dose-dependent variations in Nectin-4 engagement, with suboptimal EV doses resulting in incomplete Nectin-4 engagement and reduced tumor growth. Importantly, target engagement measured by PET emerged as a more reliable predictor of therapeutic efficacy than dose or baseline Nectin-4 expression alone. Receiver operating characteristic (ROC) analysis identified a target engagement threshold that is determinant of response, providing a quantitative benchmark for dose optimization. Furthermore, PET imaging measures provide a promising framework to account for key challenges in ADC development, including tumor heterogeneity, declining drug-to-antibody ratios over time, and limitations of systemic pharmacokinetic measurements to account for tumor-drug interactions. These findings underscore the transformative potential of integrating PET pharmacodynamic measures as early biomarkers to refine dosing strategies, improve patient outcomes, and accelerate the clinical translation of next-generation targeted therapeutics.

cancer biology↗

Metastatic organotropism in small cell lung cancer

Metastasis is the leading cause of cancer-related deaths, yet its regulatory mechanisms are not fully understood. Small-cell lung cancer (SCLC) is the most metastatic form of lung cancer, with most patients presenting with widespread disease, making it an ideal model for studying metastasis. However, the lack of suitable preclinical models has limited such studies. We utilized rapid autopsy-derived tumors to develop xenograft models that mimic key features of SCLC, including histopathology, rapid and widespread development of metastasis to the liver, brain, adrenal, bone marrow, and kidneys within weeks, and response to chemotherapy. By integrating in vivo lineage selection with comprehensive bulk and single cell multiomic profiling of transcriptomes and chromatin accessibility, we identified critical cellular programs driving metastatic organotropism to the liver and brain, the most common sites of SCLC metastasis. Our findings reveal the key role of nuclear-cytoskeletal interactions in SCLC liver metastasis. Specifically, the loss of the nuclear envelope protein lamin A/C, encoded by the LMNA gene, increased nuclear deformability and significantly increased the incidence of liver metastasis. Human liver metastases exhibited reduced LMNA expression compared to other metastatic sites, correlating with poorer patient outcomes and increased mortality. This study introduces novel preclinical models for SCLC metastasis and highlights pathways critical for organ-specific metastasis, offering new avenues for the development of targeted therapies to prevent or treat metastatic disease.

cancer biology↗

AVJ16 inhibits the RNA binding protein IGF2BP1 in lung adenocarcinomas and prevents tumor growth in mice

IGF2BP1 is an oncofoetal RNA binding protein that is expressed in many tumors. We have recently described a small molecule inhibitor of IGF2BP1, termed AVJ16, that prevents binding of the protein to its RNA targets by directly associating with the protein. Here, using a multi-omics approach, we have analyzed the effects of this inhibition on RNA binding, RNA expression, and protein expression. AVJ16 treatment downregulates RNAs encoding members of several pro-oncogenic signaling pathways, including Hedgehog, Wnt, and PI3K-Akt, and there is a strong correlation between IGF2BP1 RNA binding, RNA expression, and protein expression. AVJ16 treatment of lung adenocarcinoma (LUAD) cells in culture causes a strong reduction in proliferation, colony formation, invasion, and spheroid growth while enhancing apoptosis and cell death. All of these effects are limited to cells expressing IGF2BP1. LUAD cells treated with AVJ16 show a pronounced reduction in vital dye efflux, often correlated with enhanced chemosensitivity. In syngeneic LUAD xenografts in mice, IP injection of AVJ16 prevents tumor growth, and incubation with AVJ16 induces cell death in human organoids derived from IGF2BP1-expressing LUADs but not from healthy lung tissue. These results suggest that AVJ16 is a promising candidate for mono- and/or adjuvant therapy directed against tumors expressing IGF2BP1.

cancer biology↗

Unveiling Mechanistic and Structural Insights of EstS1 Esterase: A Potent Broad-Spectrum Phthalate Diester Degrading Enzyme

The ubiquitous presence of plastics and plasticizers around the globe has raised an alarming condition. Phthalate diesters are high-priority pollutants that mimic natural hormones and act as endocrine disruptors upon entering living systems. While certain bacterial esterases have been identified for their role in phthalate diester degradation, their structural and mechanistic characteristics remain largely unexplored. A thermostable and pH-tolerant EstS1 esterase from Sulfobacillus acidophilus catalyzes the conversion of low molecular weight phthalate diesters to monoesters. This study highlights the unique potential of EstS1 to degrade high molecular weight bis(2-ethylhexyl) phthalate (DEHP) by employing biophysical and biochemical approaches along with in-depth structural analysis utilizing high-resolution crystal structures in both apo and complex forms, with various substrates, products, and their analogs to elucidate mechanistic details. The catalytic tunnel mediating entry and exit of the substrate and product, respectively, centralized the Ser-His-Asp triad performing catalysis by bi-bi ping-pong mechanism, forming a tetrahedral intermediate. Additionally, structural analysis of the polypropylene analog jeffamine with EstS1 revealed effective covalent binding, demonstrating its multifunctional capability. Mutation analysis showed that the Met207Ala mutation abolished DEHP binding at the active site, confirming its essential role in supporting catalysis. These findings underscore the potential of EstS1 as a key tool for advancing technologies aimed at phthalate diesters biodegradation.

biophysics↗

Pharmacologic Inhibition of Ferroptosis Attenuates Experimental Abdominal Aortic Aneurysm Formation

The pathogenesis of abdominal aortic aneurysm (AAA) formation involves vascular inflammation, thrombosis formation and programmed cell death leading to aortic remodeling. Recent studies have suggested that ferroptosis, an excessive iron-mediated cell death, can regulate cardiovascular diseases, including AAAs. However, the role of ferroptosis in immune cells, like macrophages, and ferroptosis-related genes in AAA formation remains to be deciphered. Single cell-RNA sequencing of human aortic tissue from AAA patients demonstrates significant differences in ferroptosis-related genes compared to control aortic tissue. Using two established murine models of AAA and aortic rupture in C57BL/6 (WT) mice, we observed that treatment with liproxstatin-1, a specific ferroptosis inhibitor, significantly attenuated aortic diameter, pro-inflammatory cytokine production, immune cell infiltration (neutrophils and macrophages), increased smooth muscle cell -actin expression and elastic fiber disruption compared to mice treated with inactivated elastase in both pre-treatment and treatment after a small AAA had already formed. Lipidomic analysis using mass spectrometry shows a significant increase in ceramides and a decrease in intact lipid species levels in murine tissue compared to controls in the chronic AAA model on day 28. Mechanistically, in vitro studies demonstrate that liproxstatin-1 treatment of macrophages mitigated the crosstalk with aortic smooth muscle cells (SMCs) by downregulating MMP2 secretion. Taken together, this study demonstrates that pharmacological inhibition by liproxstatin-1 mitigates macrophage-dependent ferroptosis contributing to inhibition of aortic inflammation and remodeling during AAA formation.

immunology↗

Predicting Primary Graft Dysfunction in Lung Transplantation: Machine Learning-Guided Biomarker Discovery

BACKGROUNDThere is an urgent need to better understand the pathophysiology of primary graft dysfunction (PGD) so that point-of-care methods can be developed to predict those at risk. Here we utilize a multiplex multivariable approach to define cytokine, chemokines, and growth factors in patient-matched biospecimens from multiple biological sites to identify factors predictive of PGD. METHODSBiospecimens were collected from patients undergoing bilateral LTx from three distinct sites: donor lung perfusate, post-transplant bronchoalveolar lavage (BAL) fluid (2h), and plasma (2h and 24h). A 71-multiplex panel was performed on each biospecimen. Cross-validated logistic regression (LR) and random forest (RF) machine learning models were used to determine whether analytes in each site or from combination of sites, with or without clinical data, could discriminate between PGD grade 0 (n = 9) and 3 (n = 8). RESULTSUsing optimal AUROC, BAL fluid at 2h was the most predictive of PGD (LR, 0.825; RF, 0.919), followed by multi-timepoint plasma (LR, 0.841; RF, 0.653), then perfusate (LR, 0.565; RF, 0.448). Combined clinical, BAL, and plasma data yielded strongest performance (LR, 1.000; RF, 1.000). Using a LASSO of the predictors obtained using LR, we selected IL-1RA, BCA-1, and Fractalkine, as most predictive of severe PGD. CONCLUSIONSBAL samples collected 2h post-transplant were the strongest predictors of severe PGD. Our machine learning approach not only identified novel cytokines not previously associated with PGD, but identified analytes that could be used as a point-of-care cytokine panel aimed at identifying those at risk for developing severe PGD.

immunology↗

Lipoxin A4/FPR2 signaling mitigates ferroptosis of alveolar epithelial cells via NRF2-dependent pathway during lung ischemia-reperfusion injury

BACKGROUNDPost-lung transplantation (LTx) injury can involve sterile inflammation due to ischemia-reperfusion injury (IRI). We investigated the cell-specific role of ferroptosis (excessive iron-mediated cell death) in mediating lung IRI and determined if specialized pro-resolving mediators such as Lipoxin A4 (LxA4) can protect against ferroptosis in lung IRI. METHODSSingle-cell RNA sequencing of lung tissue from post-LTx patients was analyzed. Lung IRI was evaluated in C57BL/6 (WT), formyl peptide receptor 2 knockout (Fpr2-/-) and nuclear factor erythroid 2-related factor 2 knockout (Nrf2-/-) mice using a hilar-ligation model with or without LxA4 administration. Furthermore, the protective efficacy of LxA4 was evaluated employing a murine orthotopic LTx model and in vitro studies using alveolar type II epithelial (ATII) cells. RESULTSDifferential expression of ferroptosis-related genes was observed in post-LTx patient samples compared to healthy controls. A significant increase in the levels of oxidized lipids and reduction in the levels of intact lipids were observed in mice subjected to IRI compared to shams. Furthermore, pharmacological inhibition of ferroptosis with liproxstatin-1 mitigated lung IRI and lung dysfunction. Importantly, LxA4 treatment attenuated pulmonary dysfunction, ferroptosis and inflammation in WT mice subjected to lung IRI, but not in Fpr2-/- or Nrf2-/-mice, after IRI. In the murine LTx model, LxA4 treatment increased PaO2 levels and attenuated lung IRI. Mechanistically, LxA4-mediated protection involves increase in NRF2 activation and glutathione concentration as well as decrease in MDA levels in ATII cells. CONCLUSIONSLxA4/FPR2 signaling on ATII cells mitigates ferroptosis via NRF2 activation and protects against lung IRI.

immunology↗

An inhibitory acetylcholine receptor gates context dependent mechanosensory processing in C. elegans

An animals current behavior influences its response to sensory stimuli, but the molecular and circuit-level mechanisms of this context-dependent decision-making is not well understood. In the nematode C. elegans, inhibitory feedback from turning associated neurons alter downstream mechanosensory processing to gate the animals response to stimuli depending on whether the animal is turning or moving forward [1-3]. Until now, the specific neurons and receptors that mediate this inhibitory feedback were not known. We use genetic manipulations, single-cell rescue experiments and high-throughput closed-loop optogenetic perturbations during behavior to reveal the specific neuron and receptor responsible for receiving inhibition and altering sensorimotor processing. An inhibitory acetylcholine gated chloride channel comprised of lgc-47 and acc-1 expressed in neuron RIM receives inhibitory signals from turning neurons and performs the gating that disrupts the worms mechanosensory evoked reversal response.

neuroscience↗

Resolvin D2/GPR18 signaling enhances monocytic myeloid-derived suppressor cell function to mitigate abdominal aortic aneurysm formation

Abdominal aortic aneurysm (AAA) formation is a chronic vascular pathology characterized by inflammation, leukocyte infiltration and vascular remodeling. The aim of this study was to delineate the protective role of Resolvin D2 (RvD2), a bioactive isoform of specialized proresolving lipid mediators, via G-protein coupled receptor 18 (GPR18) receptor signaling in attenuating AAAs. Importantly, RvD2 and GPR18 levels were significantly decreased in aortic tissue of AAA patients compared with controls. Furthermore, using an established murine model of AAA in C57BL/6 (WT) mice, we observed that treatment with RvD2 significantly attenuated aortic diameter, pro-inflammatory cytokine production, immune cell infiltration (neutrophils and macrophages), elastic fiber disruption and increased smooth muscle cell -actin expression as well as increased TGF-{beta}2 and IL-10 expressions compared to untreated mice. Moreover, the RvD2-mediated protection from vascular remodeling and AAA formation was blocked when mice were previously treated with siRNA for GPR18 signifying the importance of RvD2/GPR18 signaling in vascular inflammation. Mechanistically, RvD2-mediated protection significantly enhanced infiltration and activation of monocytic myeloid-derived suppressor cells (M-MDSCs) by increasing TGF-{beta}2 and IL-10 secretions that mitigated smooth muscle cell activation in a GPR18-dependent manner to attenuate aortic inflammation and vascular remodeling via this intercellular crosstalk. Collectively, this study demonstrates RvD2 treatment induces an expansion of myeloid-lineage committed progenitors, such as M-MDSCs, and activates GPR18-dependent signaling to enhance TGF-{beta}2 and IL-10 secretion that contributes to resolution of aortic inflammation and remodeling during AAA formation.

immunology↗

MerTK-dependent efferocytosis by monocytic-MDSCs mediates resolution of post-lung transplant injury

ABSTRACTO_ST_ABSRationaleC_ST_ABSPatients with end stage lung diseases require lung transplantation (LTx) that can be impeded by ischemia-reperfusion injury (IRI) leading to subsequent chronic lung allograft dysfunction (CLAD) and inadequate outcomes. ObjectivesWe examined the undefined role of MerTK (receptor Mer tyrosine kinase) on monocytic myeloid-derived suppressor cells (M-MDSCs) in efferocytosis (phagocytosis of apoptotic cells) to facilitate resolution of lung IRI. MethodsSingle-cell RNA sequencing of lung tissue and BAL from post-LTx patients was analyzed. Murine lung hilar ligation and allogeneic orthotopic LTx models of IRI were used with Balb/c (WT), cebpb-/- (MDSC-deficient), Mertk-/- or MerTK-CR (cleavage resistant) mice. Lung function, IRI (inflammatory cytokine and myeloperoxidase expression, immunohistology for neutrophil infiltration), and flow cytometry of lung tissue for efferocytosis of apoptotic neutrophils were assessed in mice. Measurements and Main ResultsA significant downregulation in MerTK-related efferocytosis genes in M-MDSC populations of CLAD patients compared to healthy subjects was observed. In the murine IRI model, significant increase in M-MDSCs, MerTK expression and efferocytosis was observed in WT mice during resolution phase that was absent in cebpb-/- Land Mertk-/- mice. Adoptive transfer of M-MDSCs in cebpb-/- mice significantly attenuated lung dysfunction, and inflammation leading to resolution of IRI. Additionally, in a preclinical murine orthotopic LTx model, increases in M-MDSCs were associated with resolution of lung IRI in the transplant recipients. In vitro studies demonstrated the ability of M-MDSCs to efferocytose apoptotic neutrophils in a MerTK-dependent manner. ConclusionsOur results suggest that MerTK-dependent efferocytosis by M-MDSCs can significantly contribute to the resolution of post-LTx IRI.

immunology↗

Polymer Model Unveils Quantitative Association of Chromatin Conformation and Gene Regulation

The spatial organization of chromatin in the nucleus is of essence for regulating gene transcription. However, the mechanisms governing the intricate interplay of chromatin structure and gene transcription remain poorly understood. Hi-C experiments have unveiled a multiscale chromatin organization, significantly enriching our understanding of the structural control of gene expression. We introduce a computational framework to link chromatin structural modifications to gene regulation. This framework generates an ensemble of three-dimensional conformations of a given genomic locus using a bead-spring polymer model where the cHiC contact map is used as an input. We then correlate such chromatin conformations to the transcription level of the encoded genes using a Markov chain-based model, where binding/unbinding rates extracted from the molecular dynamics trajectories are used. By considering a specific example, we have demonstrated that the deletion of the CTCF binding domain between two consecutive TADs leads to a significant change in the enhancer-promoter interaction and gene transcription of the encoded genes, namely sox9 and kcnj2, responsible for limb development. Such a change in gene expression level is quantitatively consistent with experiments. Further insight from the polymer-based 3D conformation reveals that the higher gene expression level of the kcnj2 gene is caused by the specific enhancers of kcnj2, present in the sox9 TAD, which become accessible after boundary deletion. By quantifying the impact of these enhancers, our model can also be used to identify the functional enhancers. Together, the present computational framework not only advances our understanding of the relationship between the spatial architecture of the chromosome and the function of the cell but also provides invaluable insights into potential therapeutic interventions targeting aberrant gene regulation in pathological contexts.

biophysics↗

The common TMEM173 HAQ, AQ alleles rescue CD4 T cell death, restore T-regs, and prevent SAVI (N153S) inflammatory disease in mice

The significance of STING (encoded by the TMEM173 gene) in tissue inflammation and cancer immunotherapy has been increasingly recognized. Intriguingly, common human TMEM173 alleles R71H-G230A-R293Q (HAQ) and G230A-R293Q (AQ) are carried by [~]60% of East Asians and [~]40% of Africans, respectively. Here, we examine the modulatory effects of HAQ, AQ alleles on STING-associated vasculopathy with onset in infancy (SAVI), an autosomal dominant, fatal inflammatory disease caused by gain-of-function human STING mutations. CD4 T cellpenia is evident in SAVI patients and mouse models. Using STING knock-in mice expressing common human TMEM173 alleles HAQ, AQ, and Q293, we found that HAQ, AQ, and Q293 splenocytes resist STING-mediated cell death ex vivo, establishing a critical role of STING residue 293 in cell death. The HAQ/SAVI(N153S) and AQ/SAVI(N153S) mice did not have CD4 T cellpenia. The HAQ/SAVI(N153S), AQ/SAVI(N153S) mice have more ([~]10-fold, [~]20-fold, respectively) T-regs than WT/SAVI(N153S) mice. Remarkably, while they have comparable TBK1, IRF3, and NF{kappa}B activation as the WT/SAVI, the AQ/SAVI mice have no tissue inflammation, regular body weight, and normal lifespan. We propose that STING activation promotes tissue inflammation by depleting T-regs cells in vivo. Billions of modern humans have the dominant HAQ, AQ alleles. STING research and STING-targeting immunotherapy should consider TMEM173 heterogeneity in humans. TeaserCommon human HAQ, AQ TMEM173 alleles dominate the gain-of-function SAVI(N154S) TMEM173 mutant in mice.

immunology↗

TWISP: A Transgenic Worm for Interrogating Signal Propagation in C. elegans

Genetically encoded optical indicators and actuators of neural activity allow for all-optical investigations of signaling in the nervous system. But commonly used indicators, actuators and expression strategies are poorly suited for systematic measurements of signal propagation at brain scale and cellular resolution. Large scale measurements of the brain require indicators and actuators with compatible excitation spectra to avoid optical crosstalk. They must be highly expressed in every neuron but at the same time avoid lethality and permit the animal to reach adulthood. And finally, their expression must be compatible with additional fluorescent labels to locate and identify neurons, such as those in the NeuroPAL cell identification system. We present TWISP, a Transgenic Worm for Interrogating Signal Propagation, that address these needs and enables optical measurements of evoked calcium activity at brain scale and cellular resolution in the nervous system of the nematode Caenorhabditis elegans. We express in every neuron a non-conventional optical actuator, the gustatory receptor homolog GUR-3+PRDX-2 under the control of a drug-inducible system QF+hGR, and calcium indicator GCAMP6s, in a background with additional fluorophores of the NeuroPAL cell ID system. We show that this combination, but not others tested, avoids optical-crosstalk, creates strong expression in the adult, and generates stable transgenic lines for systematic measurements of signal propagation in the worm brain.

neuroscience↗

NMFClustering: Accessible NMF-based clustering utilizing GPU acceleration

SummaryNon-negative Matrix Factorization (NMF) is an algorithm that can reduce high dimensional datasets of tens of thousands of genes to a handful of metagenes which are biologically easier to interpret. Application of NMF on gene expression data has been limited by its computationally intensive nature, which hinders its use on large datasets such as single-cell RNA sequencing (scRNA-seq) count matrices. We have implemented NMF based clustering to run on high performance GPU compute nodes using CuPy, a GPU backed python library, and the Message Passing Interface (MPI). This reduces the computation time by up to three orders of magnitude and makes the NMF Clustering analysis of large RNA-Seq and scRNA-seq datasets practical. We have made the method freely available through the GenePattern gateway, which provides free public access to hundreds of tools for the analysis and visualization of multiple omic data types. Its web-based interface gives easy access to these tools and allows the creation of multi-step analysis pipelines on high performance computing (HPC) clusters that enable reproducible in silico research for non-programmers. Availability and ImplementationNMFClustering is freely available on the public GenePattern server at https://genepattern.ucsd.edu. Code for the NMFClustering is available under a BSD style license on github at https://github.com/genepattern/nmf-gpu. ContactTed Liefeld, jliefeld@cloud.ucsd.edu Supplementary InformationSupplementary data are available at Bioinformatics online and at https://datasets.genepattern.org/?prefix=data/test_data/NMFClustering/.

bioinformatics↗