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Patel, K.

Publications and source records attributed to Patel, K..

At least 55 records · Page 3Linked to original sources

Multiple factors regulate i-motif and G-quadruplex structures in vitro: analysis of repeated and non-repeated polyG/polyC clusters by circular dichroism

The B-form of DNA in the genome contains thousands of sequences that can form various noncanonical structures. Of particular interest are two structures namely G-quadruplex (G4), formed by two or more stacks of four guanine residues in a plane, and intercalating-motif (i-motif, iM) formed by alternately arranged C-C+ pairs. Circular dichroism (CD) spectroscopy is a fast biophysical technique to analyze G4s and iMs. We conducted a CD analysis of two types of DNA sequences, one containing tandem repeats and one without, for the generation of G4s and iMs under various environmental conditions, which include pH, buffer composition, boiling, with flanking sequences, complimentary DNA strands, and single-stranded DNA binding protein (SSB). Changes in pH and boiling caused drastic variations in the CD spectra of DNA containing tandem repeats of GGGGCC and GGCCCC from the C9ORF72 gene, although some changes in G4/iM-forming DNA from promoter-proximal regions of several oncogenes also occur. An increase in the number of hexanucleotide repeats generated complex CD patterns at specific pH due to the presence of both G and C bases. The presence of flanking sequences affects CD pattern of a mixture of G4- and iM-forming sequences of the c-MYC promoter-proximal region. SSB disassembled G4 and iMs of all sequences suggesting an in vivo role for SSBs in disassembly of G4s and iMs during various DNA transactions.

biophysics↗

Permissive and instructive Hox codes govern limb positioning

The positioning of limbs along the anterior-posterior axis varies widely across vertebrates. The mechanisms controlling this feature remain to be fully understood. For over 30 years, it has been speculated that Hox genes play a key role in this process but evidence supporting this hypothesis has been largely indirect. In this study, we employed loss- and gain-of-function Hox gene variants in chick embryos to address this issue. Using this approach, we found that Hox4/5 genes are necessary but insufficient for forelimb formation. Within the Hox4/5 expression domain, Hox6/7 genes are sufficient for reprogramming of neck lateral plate mesoderm to form an ectopic limb bud, thereby inducing forelimb formation anterior to the normal limb field. Our findings demonstrate that the forelimb program depends on the combinatorial actions of these Hox genes. We propose that during the evolutionary emergence of the neck, Hox4/5 provide permissive cues for forelimb formation throughout the neck region, while the final position of the forelimb is determined by the instructive cues of Hox6/7 in the lateral plate mesoderm. Impact statementElucidation of the Hox code defining forelimb positioning provides novel insights in lateral plate mesoderm patterning and the integration of vertebrate column structure and limb positioning.

developmental biology↗

Circadian clock neurons use activity-regulated gene expression for structural plasticity

Drosophila s-LNv circadian pacemaker neurons show dramatic structural plasticity, with their projections expanded at dawn and then retracted by dusk. This predictable plasticity makes s-LNvs ideal to study molecular mechanisms of plasticity. Although s-LNv plasticity is controlled by their molecular clock, changing s-LNv excitability also regulates plasticity. Here, we tested the idea that s-LNvs use activity-regulated genes to control plasticity. We found that inducing expression of either of the activity-regulated transcription factors Hr38 or Sr (orthologs of mammalian Nr4a1 and Egr1) is sufficient to rapidly expand s-LNv projections. Conversely, transiently knocking down expression of either Hr38 or sr blocks expansion of s-LNv projections at dawn. We show that Hr38 rapidly induces transcription of sif, which encodes a Rac1 GEF required for s-LNv plasticity rhythms. We conclude that the s-LNv molecular clock controls s-LNv excitability, which couples to an activity-regulated gene expression program to control s-LNv plasticity.

neuroscience↗

Proteomic Discovery of RNA-Protein Molecular Clamps Using a Thermal Shift Assay with ATP and RNA (TSAR)

Uncompetitive inhibition is an effective strategy for suppressing dysregulated enzymes and their substrates, but discovery of suitable ligands depends on often-unavailable structural knowledge and serendipity. Hence, despite surging interest in mass spectrometry-based target identification, proteomic studies of substrate-dependent target engagement remain sparse. Herein, we describe a strategy for the discovery of substrate-dependent ligand binding. Using proteome integral solubility alteration (PISA) assays, we show that simple biochemical additives can enable detection of RNA-protein-small molecule complexes in native cell lysates. We apply our approach to rocaglates, molecules that specifically clamp RNA to eukaryotic translation initiation factor 4A (eIF4A), DEAD-box helicase 3X (DDX3X), and potentially other members of the DEAD-box (DDX) helicase family. To identify unexpected interactions, we used a target class-specific thermal window and compared ATP analog and RNA base dependencies for key rocaglate-DDX interactions. We report and validate novel DDX targets of high-profile rocaglates - including the clinical candidate Zotatifin - using limited proteolysis-mass spectrometry and fluorescence polarization (FP) experiments. We also provide structural insight into divergent DDX3X affinities between synthetic rocaglates. Taken together, our study provides a model for screening uncompetitive inhibitors using a chemical proteomics approach and uncovers actionable DDX clamping targets, clearing a path towards characterization of novel molecular clamps and associated RNA helicases.

biochemistry↗

Trace DNA from kill sites identifies predating tigers

Predation ecology and evidence-based conflict management strategies require reliable and accurate identification of individual predators. Identifying predators is, however, complex, as they are secretive and individual identification is difficult. Trace DNA that predators leave behind at kill sites might provide an effective strategy to identify them but remains poorly evaluated at scale. We use non-invasive genetic samples from kill sites to assess their utility for predator identification. We systematically investigated 198 livestock kills in two critical source tiger populations in central India: Kanha and Bandhavgarh Tiger Reserves. We collected 342 salivary swabs from carcasses, 33 scat and 395 shed hair samples as potential sources of predator DNA, and individual tigers were identified using up to 123 SNP markers. All three sample sources identified predator species with high success (>95%). We identified individuals (with at least one sample per kill site, based on >40 SNPs) at 86% of all kill sites where tigers were detected. Shed hair samples were most effective for individual identification, followed by saliva and scat. Sample source and sampling season were the primary determinants of the number of SNPs typed per sample and the success of individual identification. Based on the site and type of sample collection, we classify species and individuals into three categories: true predator (high confidence as predator), circumstantial predator (medium confidence) and predator uncertain (low confidence). Individuals were classified as a true predator at 72 sites, circumstantial predator at 34 sites and predator uncertain at 49 sites. Our protocol allowed us to differentiate between predators and scavengers, even when multiple tigers were detected at the same kill site. Surprisingly, [~]40% of Bandhavgarhs tigers were identified at at least one kill site. We suggest that when paired with systematic kill site investigation and sample collection, these methods can be effectively used to understand predation ecology better and facilitate evidence-based conflict management.

genetics↗

Precise Timing Matters: Modulating Human Memory by Synchronizing Hippocampal Stimulation to Saccadic Event Related Potentials

Episodic memory, the ability to record and relive experiences, is intricately connected to visual exploration in most humans. This study explores the possibility that eye movements create physiological states relevant for memory, analogous to those associated with hippocampal theta. Previous work has demonstrated that saccadic eye movements, which occur roughly at theta frequency, elicit hippocampal event-related potentials (ERPs). Building on the Separate Phases of Encoding and Retrieval (SPEAR) model, we asked if the peaks and troughs of this saccadic ERP are differentially important for memory formation. Specifically, we applied saccade-contingent hippocampal electrical stimulation at estimated ERP peaks and troughs while individuals with epilepsy visually explored natural scenes across 59 sessions. We subsequently assessed their recognition memory for scenes and their recall of associated targets. Results indicate that memory is robust when stimulation precisely targets the peak or trough, contrasting with impairments observed with random stimulation. Moreover, memory impairment is prominent when stimulation is applied within 100 ms of saccade initiation, a time that reflects high medial temporal lobe inhibition. Our findings suggest that the hippocampus rapidly evolves through memory-relevant states following each eye movement, while also challenging the assumption that human saccadic ERP peaks and troughs mirror the encoding and retrieval phases of theta rhythms studied in rodents. The study sheds light on the dynamic interplay between eye movements, hippocampal activity, and memory formation, offering theoretical insights with potential applications for memory modulation in neurological disorders. Significance StatementWhy do eye-movements enhance memory formation? Here, we causally tested if eye-movements initiate short-lived states critical for memory formation within the hippocampus, a brain region known to support memory. We built a system that could precisely apply hippocampal electrical stimulation at key moments after eye-movements to test how the timing of this stimulation influenced peoples ability to form memories. We found that stimulation was particularly disruptive to memory formation when applied within 100 ms of initiating an eye movement. By contrast, memory was robust to stimulation precisely timed to the peak and trough of hippocampal eye-movement responses. We interpret this temporal evolution of memory-relevant states within a prominent model of how theta phases relate to rodent memory.

neuroscience↗

ORF48 is required for optimal lytic replication of Kaposis Sarcoma-Associated Herpesvirus

Kaposis sarcoma-associated herpesvirus (KSHV) establishes persistent infection in the host by encoding a vast network of proteins that aid immune evasion. One of these targeted innate immunity pathways is the cGAS-STING pathway, which inhibits the reactivation of KSHV from latency. Previously, we identified multiple cGAS/STING inhibitors encoded by KSHV, suggesting that the counteractions of this pathway by viral proteins are critical for maintaining a successful KSHV life cycle. However, the detailed mechanisms of how these viral proteins block innate immunity and facilitate KSHV lytic replication remain largely unknown. In this study, we report that ORF48, a previously identified negative regulator of the cGAS/STING pathway, is required for optimal KSHV lytic replication. We used both siRNA and deletion-based systems to evaluate the importance of intact ORF48 in the KSHV lytic cycle. In both systems, loss of ORF48 resulted in defects in lytic gene transcription, lytic protein expression, viral genome replication and infectious virion production. ORF48 genome deletion caused more robust and global repression of the KSHV transcriptome, possibly due to the disruption of RTA promoter activity. Mechanistically, overexpressed ORF48 was found to interact with endogenous STING in HEK293 cells. Compared with the control cell line, HUVEC cells stably expressing ORF48 exhibited repressed STING-dependent innate immune signaling upon ISD or diABZI treatment. However, the loss of ORF48 in our iSLK-based lytic system failed to induce IFN{beta} production, suggesting a redundant role of ORF48 on STING signaling during the KSHV lytic phase. Thus, ORF48 is required for optimal KSHV lytic replication through additional mechanisms that need to be further explored. Author SummaryKaposi sarcoma-associated herpesvirus (KSHV) causes persistent infection in a host that leads to two deadly cancers, Kaposi Sarcoma and Primary Effusion Lymphoma, especially in immunocompromised people. Unfortunately, there is no vaccine or viral-specific treatment for KSHV-related diseases, due to our limited knowledge of detailed immune evasion strategies by KSHV. KSHV blocks multiple immune pathways to maintain its lifelong infection, one of which is the DNA-sensing cGAS-STING pathway. Here, we reported that ORF48, a KSHV-encoded STING inhibitor is required for optimal KSHV lytic reactivation and viral production. A successful KSHV infection requires both intact ORF48 DNA and mRNA at different stages of its lytic life cycle. Further study reveals that ORF48 binds to STING and blocks STING-dependent innate immunity, and additional mechanisms may contribute to its role in lytic replication. Our findings provide insight into viral immune evasion strategies, which would contribute to a better understanding of all viral diseases.

microbiology↗

BPTF cooperates with MYCN and MYC to link neuroblastoma cell cycle control to epigenetic cellular states

The nucleosome remodeling factor BPTF is required for the deployment of the MYC-driven transcriptional program. Deletion of one Bptf allele delays tumor progression in mouse models of pancreatic cancer and lymphoma. In neuroblastoma, MYCN cooperates with the transcriptional core regulatory circuitry (CRC). High BPTF levels are associated with high-risk features and decreased survival. BPTF depletion results in a dramatic decrease of cell proliferation. Bulk RNA-seq, single-cell sequencing, and tissue microarrays reveal a positive correlation of BPTF and CRC transcription factor expression. Immunoprecipitation/mass spectrometry shows that BPTF interacts with MYCN and the CRC proteins. Genome-wide distribution analysis of BPTF and CRC in neuroblastoma reveals a dual role for BPTF: 1) it co-localizes with MYCN/MYC at the promoter of genes involved in cell cycle and 2) it co-localizes with the CRC at super-enhancers to regulate cell identity. The critical role of BPTF across neuroblastoma subtypes supports its relevance as a therapeutic target.

genomics↗

Lysosomal degradation of ACVR1-Activin complexes negatively regulates signaling of Activins and Bone Morphogenetic Proteins

BMP/TGF{beta} family ligands act mainly as factors that differentially initiate Smad1/5/8 or Smad2/3 signaling via heterotetrameric complexes comprised of two type I and two type II receptors (IIR). ActA (ActA) stands out as it activates Smad2/3 signaling through type I receptor ACVR1B, whereas it generates non-signaling complexes (NSCs) with ACVR1. In fibrodysplasia ossificans progressiva (FOP), a genetic disorder caused by missense mutations in ACVR1 (ACVR1.FOP), ACVR1.FOP*ActA*IIR complexes activate Smad1/5 signaling, mimicking those formed with BMPs. As the NSCs that ActA forms with ACVR1 are stoichiometrically identical with signaling complexes formed with ACVR1.FOP, we explored how NSCs differ from their signaling counterparts. We show that ACVR1*ActA*IIR complexes rapidly traffic to lysosomes, where their constituent components are degraded, reducing the cells responsiveness to BMPs along with ActAs availability. This property is specific to ActA as Activin B, AB, and AC do not form lysosomal trafficking complexes with ACVR1, but rather remain on the surface as NSCs. Lysosomal trafficking and degradation of ACVR1*ActA*IIR complexes is a novel regulatory mechanism of BMP/TGF{beta} signaling whose physiological roles remain largely unexplored.

cell biology↗

Sporadic phage defense in epidemic Vibrio cholerae mediated by the toxin-antitoxin system DarTG is countered by a phage-encoded antitoxin mimic

Bacteria and their viral predators (phages) are constantly evolving to subvert one another. Many bacterial immune systems that inhibit phages are encoded on mobile genetic elements that can be horizontally transmitted to diverse bacteria. Despite the pervasive appearance of immune systems in bacteria, it is not often known if these immune systems function against phages that the host encounters in nature. Additionally, there are limited examples demonstrating how these phages counter-adapt to such immune systems. Here, we identify clinical isolates of the global pathogen Vibrio cholerae harboring a novel genetic element encoding the bacterial immune system DarTG and reveal the immune systems impact on the co-circulating lytic phage ICP1. We show that DarTG inhibits ICP1 genome replication, thus preventing ICP1 plaquing. We further characterize the conflict between DarTG-mediated defense and ICP1 by identifying an ICP1-encoded protein that counters DarTG and allows ICP1 progeny production. Finally, we identify this protein as a functional antitoxin that abrogates the toxin DarT likely through direct interactions. Following the detection of the DarTG system in clinical V. cholerae isolates, we observed a rise in ICP1 isolates with the functional antitoxin. These data highlight the use of surveillance of V. cholerae and its lytic phages to understand the co-evolutionary arms race between bacteria and their phages in nature. ImportanceThe global bacterial pathogen Vibrio cholerae causes an estimated 1 to 4 million cases of cholera each year. Thus, studying the factors that influence its persistence as a pathogen is of great importance. One such influence is the lytic phage ICP1, as once infected by ICP1, V. cholerae is destroyed. To date, we have observed that the phage ICP1 shapes V. cholerae evolution through the flux of anti-phage bacterial immune systems. Here, we probe clinical V. cholerae isolates for novel anti-phage immune systems that can inhibit ICP1 and discover the toxin-antitoxin system DarTG as a potent inhibitor. Our results underscore the importance of V. cholerae and ICP1 surveillance to elaborate novel means by which V. cholerae can persist in both the human host and aquatic reservoir in the face of ICP1.

microbiology↗

A proteogenomic surfaceome study identifies DLK1 as an immunotherapeutic target in neuroblastoma

Cancer immunotherapies have produced remarkable results in B-cell malignancies; however, optimal cell surface targets for many solid cancers remain elusive. Here, we present an integrative proteomic, transcriptomic, and epigenomic analysis of tumor specimens along with normal tissues to identify biologically relevant cell surface proteins that can serve as immunotherapeutic targets for neuroblastoma, an often-fatal childhood cancer of the developing nervous system. We apply this approach to human-derived cell lines (N=9) and cell/patient-derived xenograft (N=12) models of neuroblastoma. Plasma membrane-enriched mass spectrometry identified 1,461 cell surface proteins in cell lines and 1,401 in xenograft models, respectively. Additional proteogenomic analyses revealed 60 high-confidence candidate immunotherapeutic targets and we prioritized Delta-like canonical notch ligand 1 (DLK1) for further study. High expression of DLK1 directly correlated with the presence of a super-enhancer spanning the DLK1 locus. Robust cell surface expression of DLK1 was validated by immunofluorescence, flow cytometry, and immunohistochemistry. Short hairpin RNA mediated silencing of DLK1 in neuroblastoma cells resulted in increased cellular differentiation. ADCT-701, a DLK1-targeting antibody-drug conjugate (ADC), showed potent and specific cytotoxicity in DLK1-expressing neuroblastoma xenograft models. Moreover, DLK1 is highly expressed in several adult cancer types, including adrenocortical carcinoma (ACC), pheochromocytoma/paraganglioma (PCPG), hepatoblastoma, and small cell lung cancer (SCLC), suggesting potential clinical benefit beyond neuroblastoma. Taken together, our study demonstrates the utility of comprehensive cancer surfaceome characterization and credentials DLK1 as an immunotherapeutic target. HighlightsO_LIPlasma membrane enriched proteomics defines surfaceome of neuroblastoma C_LIO_LIMulti-omic data integration prioritizes DLK1 as a candidate immunotherapeutic target in neuroblastoma and other cancers C_LIO_LIDLK1 expression is driven by a super-enhancer C_LIO_LIDLK1 silencing in neuroblastoma cells results in cellular differentiation C_LIO_LIADCT-701, a DLK1-targeting antibody-drug conjugate, shows potent and specific cytotoxicity in DLK1-expressing neuroblastoma preclinical models C_LI

cancer biology↗

An immunohistochemical atlas of necroptotic pathway expression

Necroptosis is a lytic form of regulated cell death reported to contribute to inflammatory diseases of the gut, skin and lung, as well as ischemic-reperfusion injuries of the kidney, heart and brain. However, precise identification of the cells and tissues that undergo necroptotic cell death in vivo has proven challenging in the absence of robust protocols for immunohistochemical detection. Here, we provide automated immunohistochemistry protocols to detect core necroptosis regulators - Caspase-8, RIPK1, RIPK3 and MLKL - in formalin-fixed mouse and human tissues. We observed surprising heterogeneity in protein expression within tissues, whereby short-lived immune barrier cells were replete with necroptotic effectors, whereas long-lived cells lacked RIPK3 or MLKL expression. Local changes in the expression of necroptotic effectors occurred in response to insults such as inflammation, dysbiosis or immune challenge, consistent with necroptosis being dysregulated in disease contexts. These methods will facilitate the precise localisation and evaluation of necroptotic signaling in vivo. HighlightsO_LI13 automated immunohistochemistry protocols for detecting the necroptotic pathway C_LIO_LINecroptotic pathway expression is confined to fast-cycling immune barriers C_LIO_LINecroptotic pathway expression changes at sites of immunoinflammatory challenge C_LIO_LIImmunodetection of necrosomes in IBD patients is a putative new diagnostic tool C_LI

cell biology↗

A 50-gene high-risk profile predictive of COVID-19 and Idiopathic Pulmonary Fibrosis mortality originates from a molecular imbalance in monocyte and T-cell subsets that reverses in survivors with post-COVID-19 Interstitial Lung Disease

BackgroundWe aim to study the source of circulating immune cells expressing a 50-gene signature predictive of COVID-19 and IPF mortality. MethodsWhole blood and Peripheral Blood Mononuclear cells (PBMC) were obtained from 231 subjects with COVID-19, post-COVID-19-ILD, IPF and controls. We measured the 50-gene signature (nCounter, Nanostring), interleukin 6 (IL6), interferon {gamma}-induced protein (IP10), secreted phosphoprotein 1 (SPP1) and transforming growth factor beta (TGF-{beta}) by Luminex. PCR was used to validate COVID-19 endotypes. For single-cell RNA sequencing (scRNA-seq) we used Chromium Controller (10X Genomics). For analysis we used the Scoring Algorithm of Molecular Subphenotypes (SAMS), Cell Ranger, Seurat, Propeller, Kaplan-Meier curves, CoxPH models, Two-way ANOVA, T-test, and Fishers exact. ResultsWe identified three genomic risk profiles based on the 50-gene signature, and a subset of seven genes, associated with low, intermediate, or high-risk of mortality in COVID-19 with significant differences in IL6, IP10, SPP1 and TGF{beta}-1. scRNA-seq identified Monocytic-Myeloid-Derived Suppressive cells (M-MDSCs) expressing CD14+HLA DRlowCD163+ and high levels of the 7-gene signature (7Gene-M-MDSC) in COVID-19. These cells were not observed in post-COVID-19-ILD or IPF. The 43-gene signature was mostly expressed in CD4 T and CD8 T cell subsets. Increased expression of the 43 gene signature was seen in T cell subsets from survivors with post-COVID-19-ILD. The expression of these genes remained low in IPF. ConclusionA 50-gene, high-risk profile in COVID-19 is characterized by a genomic imbalance in monocyte and T-cell subsets that reverses in survivors with post-COVID-19 Interstitial Lung Disease

genomics↗

Nucleo-cytoplasmic environment modulates spatio-temporal p53 phase separation

Phase separation of various transcription factors and nucleic acids into biomolecular condensates is known to play an essential role in the regulation of gene expression. Here, we show that p53, a tumor suppressor and transcription factor, phase separates and forms biomolecular condensates in the nucleus of cancer cells as well as when overexpressed in the various cell lines. Although the nuclear condensates of wild-type (WT) p53 maintain their liquid state and are able to bind DNA, cancer-associated mutations not only promote misfolding but also partially rigidify the p53 condensates, which are unable to bind the DNA. Irrespective of WT or mutant form, the cytoplasmic partitioning of p53 with time also results in biomolecular condensate formation, which eventually undergoes rigidification. In vitro, WT p53 core domain (p53C) forms biomolecular condensates, which rigidify with time and the process is further promoted by cancer-associated mutations. Both RNA and non-specific DNA promote LLPS of p53C, but specific DNA promotes the dissolution of p53C condensates. The result suggests that the cellular microenvironment regulates p53 LLPS, material property and its functions.

biophysics↗

Mast-Cell Expressed Membrane Protein-1 (MCEMP1) is expressed in classical monocytes and alveolar macrophages in Idiopathic Pulmonary Fibrosis and regulates cell chemotaxis, adhesion, and migration in a TGFβ dependent manner.

BackgroundMast-Cell Expressed Membrane Protein-1 (MCEMP1) is higher in Idiopathic Pulmonary Fibrosis (IPF) patients with increased risk of death and poor outcomes. Here we seek to establish the mechanistic role of MCEMP1 in pulmonary fibrosis. MethodsMCEMP1 expression was analyzed by single-cell RNA sequencing, immunofluorescence in Peripheral Blood Mononuclear Cells (PBMC) as well as in lung tissues from IPF patients and controls. Chromatin Immunoprecipitation (ChiP) and Proximity Ligation Assay (PLA) were used to study the transcriptional regulation of MCEMP1. Transient RNA interference and lentivirus transduction were used to knockdown and knock-in MCEMP1 in THP-1 cells to study chemotaxis, adhesion, and migration. Bulk RNA sequencing was used to identify the mechanisms by which MCEMP1 participates in monocyte function. Active RHO pull-down assay was used to validate bulk RNA sequencing results. ResultsWe identified increased MCEMP1 expression in classical monocytes and alveolar macrophages in IPF compared to controls. MCEMP1 was upregulated by TGF{beta} at the mRNA and protein levels in THP-1. TGF{beta}-mediated MCEMP1 upregulation results from the cooperation of SMAD3 and SP1 via concomitant binding to SMAD3/SP1 cis-regulatory elements within the MCEMP1 promoter. In terms of its function, we found that MCEMP1 regulates TGF{beta}-mediated monocyte chemotaxis, adhesion, and migration. 400 differentially expressed genes were found to increase after TGF{beta} stimulation of THP-1, further increased in MCEMP1 knock-in cells treated with TGF{beta} and decreased in MCEMP1 knockdown cells treated with TGF{beta}. GO annotation analysis of these genes showed enrichment for positive regulation of RHO GTPase activity and signal transduction. While TGF{beta} enhanced RHO GTPase activity in THP-1 cells, this effect was attenuated following MCEMP1 knockdown. ConclusionMCEMP1 is highly expressed in circulating classical monocytes and alveolar macrophages in IPF. MCEMP1 is regulated by TGF{beta} and participates in the chemotaxis, adhesion, and migration of circulating monocytes by modulating the effect of TGF{beta} in RHO activity. Our results suggest that MCEMP1 may regulate the migration and transition of monocytes to monocyte-derived alveolar macrophages during pulmonary fibrosis development and progression.

immunology↗

Stem cell-specific ecdysone signaling regulates the development and function of a Drosophila sleep homeostat

Complex behaviors arise from neural circuits that are assembled from diverse cell types. Sleep is a conserved and essential behavior, yet little is known regarding how the nervous system generates neuron types of the sleep-wake circuit. Here, we focus on the specification of Drosophila sleep-promoting neurons--long-field tangential input neurons that project to the dorsal layers of the fan-shaped body neuropil in the central complex (CX). We use lineage analysis and genetic birth dating to identify two bilateral Type II neural stem cells that generate these dorsal fan-shaped body (dFB) neurons. We show that adult dFB neurons express Ecdysone-induced protein E93, and loss of Ecdysone signaling or E93 in Type II NSCs results in the misspecification of the adult dFB neurons. Finally, we show that E93 knockdown in Type II NSCs affects adult sleep behavior. Our results provide insight into how extrinsic hormonal signaling acts on NSCs to generate neuronal diversity required for adult sleep behavior. These findings suggest that some adult sleep disorders might derive from defects in stem cell-specific temporal neurodevelopmental programs.

neuroscience↗

ExoChew: An exonuclease technique to generate single-stranded DNA libraries

Although DNA in the genome is double-stranded, single-stranded DNA is generated during various processes including DNA replication and repair. Some single-stranded DNAs can form noncanonical structures. Various proteins bind to the single-stranded DNAs site-specifically and/or structure-specifically to regulate various DNA transactions. Because of the transient nature of single-stranded DNAs in the cell, current in vivo techniques may not reveal all such sequences, structures, and protein-DNA complexes. To explore such sequences and structures genome-wide, it is necessary to generate single-stranded DNA libraries. Current in vitro methods involve heat denaturation of libraries of double-stranded DNA fragments followed by cooling to prevent reannealing; however, a significant amount of DNA can reanneal to regenerate double-stranded DNAs. In ExoChew method, double-stranded DNA fragment libraries are enzymatically converted to single-stranded DNA libraries. Genomic DNA is sonicated to generate pools of double-stranded DNA fragments of required size. Each pool of double-stranded DNA fragments is then treated with either T7 exonuclease or E. coli exonuclease III. which recognize and cleave double-stranded DNA from 5 ends or 3 ends, generating single-stranded DNA pools, respectively. The enzymatically generated single-stranded DNA pools can be used for genome-wide studies of protein-DNA interactions and structural studies of DNA.

molecular biology↗

Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine

Personalized interventions are deemed vital given the intricate characteristics, advancement, inherent genetic composition, and diversity of cardiovascular diseases (CVDs). The appropriate utilization of artificial intelligence (AI) and machine learning (ML) methodologies can yield novel understandings of CVDs, enabling improved personalized treatments through predictive analysis and deep phenotyping. In this study, we proposed and employed a novel approach combining traditional statistics and a nexus of cutting-edge AI/ML techniques to identify significant biomarkers for our predictive engine by analyzing the complete transcriptome of CVD patients. After robust gene expression data pre-processing, we utilized three statistical tests (Pearson correlation, Chi-square test, and ANOVA) to assess the differences in transcriptomic expression and clinical characteristics between healthy individuals and CVD patients. Next, the Recursive Feature Elimination (RFE) classifier assigned rankings to transcriptomic features based on their relation to the case-control variable. The top ten percent of commonly observed significant biomarkers were evaluated using four unique ML classifiers (Random Forest, Support Vector Machine, Xtreme Gradient Boosting Decision Trees, and k-Nearest Neighbors). After optimizing hyperparameters, the ensembled models, which were implemented using a soft voting classifier, accurately differentiated between patients and healthy individuals. We have uncovered 18 transcriptomic biomarkers that are highly significant in the CVD population that were used to predict disease with up to 96% accuracy. Additionally, we cross-validated our results with clinical records collected from patients in our cohort. The identified biomarkers served as potential indicators for early detection of CVDs. With its successful implementation, our newly developed predictive engine provides a valuable framework for identifying patients with CVDs based on their biomarker profiles.

genomics↗