Biology subjects

Agrawal, P.

Publications and source records attributed to Agrawal, P..

At least 19 recordsLinked to original sources

bioRxiv2026

MicroDLP: Microscope-Enabled Resolution-Switchable 3D Microprinting

Complex three-dimensional (3D) microarchitectures are increasingly important for microfluidics, microrobotics, organ-on-chip systems, biomedical devices, and architected materials. However, fabricating complex 3D microstructures with micrometre-scale precision remains a major manufacturing challenge. Integrating these fine features with larger supporting structures presents an additional challenge, requiring fabrication across multiple length scales within a single architecture. Although microscale 3D printing enables intricate geometries, the trade-off between resolution and build volume limits multiscale fabrication, while existing approaches often require complex optics and precise registration. Here, we introduce MicroDLP, a microscope-enabled digital light processing platform for versatile, resolution-switchable 3D microprinting. By integrating a projection module into a conventional inverted microscope, MicroDLP exploits its revolving objective turret to switch between 4x, 10x, and 20x objectives, providing projected pixel sizes from 1.89 to 0.378 um. We characterize photopolymerization, voxel geometry, and lateral feature resolution across magnifications to establish suitable microscale printing conditions. MicroDLP enables the fabrication of diverse and complex 3D microarchitectures, including freestanding trusses with 170 um struts, microvascular structures with 10 um features, interlocking gears, suspended microbridges, and microneedles with 3-5 um tips. Importantly, switching from 10x to 20x during fabrication produces monolithic 3D structures combining larger supporting foundations with fine micropillar arrays, without manual optical realignment. The shared optical pathway also enables coaxial in situ monitoring of photopolymerization. Together, these results establish MicroDLP as a versatile platform for microscale additive manufacturing, combining complex 3D microfabrication with resolution switching within a single monolithic structure.

bioengineering↗

bioRxiv2026

A Seven-Protein Assembly Promotes Stability, Neutralisation and Secretion of the T7SSb LXG-effector TelE

Streptococcus gallolyticus subsp. gallolyticus (SGG) is a gut pathobiont associated with colorectal cancer. Like many Firmicutes, SGG utilizes a specialized Type VII Secretion System (T7SSb) to export WXG100 and LXG proteins, the latter involved in bacterial competition. We previously identified TelE, an LXG protein whose C-terminus mediates membrane pore formation in Escherichia coli. In SGG UCN34, TelE (Gallo_0562) is co-expressed with six proteins (Gallo_0559 to Gallo_0565), including its immunity protein TipE (Gallo_0565). Here we show that the absence of those co-expressed proteins affects TelE stability and secretion. These proteins associate with TelE to form a soluble and stable seven-protein complex. Gallo_0559 and Gallo_0560 interact with the N-terminal LXG domain of TelE, Gallo_0561 binds to its central region, while the six-transmembrane protein Gallo_0563, together with Gallo_0564 and TipE associates with its C-terminal domain. These findings describe a new modular complex that stabilizes TelE while reducing its toxicity and optimizing its T7SSb-mediated delivery.

microbiology↗

bioRxiv2026

FRAPPe - a novel FRET-based biosensor to detect inorganic polyphosphates

Inorganic polyphosphate (polyP), a linear polymer of orthophosphate residues, is involved in a range of cellular processes, including phosphate storage, blood clotting, chromatin remodeling, RNA processing, and mitochondrial function. Despite its significance, tools for monitoring polyP with specificity and in real time are lacking, limiting insights into its dynamics. Here, we present FRAPPe (FRET-based Ratiometric Analysis of Polyphosphate), a FRET-based sensor for polyP. FRAPPe consists of an eCFP-eYFP FRET pair flanking CHAD, a polyP-binding domain. The sensor remains unresponsive to nucleic acids and other polyanions, while polyP binding induces a significant decrease in FRET, allowing quantitative estimation of polyP. We further show that FRAPPe can qualitatively estimate polyP levels from crude cell extracts, supporting its utility in high-throughput genetic and pharmacological screens to identify regulators of polyP metabolism and signaling.

biochemistry↗

bioRxiv2025

Antibody Mediated Diversification of Primary and Secondary Immune Responses

Humoral immune responses are characterized by increasing antibody affinity and diversity over time. Increased affinity is mediated by a combination of immunoglobulin gene somatic mutation and iterative cycles of selection in germinal centers. Less is understood about how diversity increases. Here we examine the role of antibody feedback in diversifying immune responses in mice that produce B cells that are incapable of secreting antibodies. To this end, we produced two strains of mice, one that expresses only membrane and secreted forms of IgM, and a second that produces only the membrane bound form of IgM. Analysis of primary and secondary immune responses show that antibody feedback significantly diversifies both primary and secondary immune responses even when antibodies are present at levels that are 10-30 fold lower than physiologic. The data have significant implication for sequential vaccination approaches aimed at shepherding immunity to produce broadly neutralizing antibodies to highly diversified pathogens such as HIV-1 and Influenza. SummaryHumoral immune responses diversify over time but whether secreted antibodies influence this process is unknown. Using antibody secretion-deficient mice this study shows a profound impact of secreted antibodies on the evolution of B cell diversity after vaccination.

immunology↗

bioRxiv2025

ZNF180 modulates tumor intrinsic immunotherapy resistance in melanoma through driving plasticity

BackgroundBased on our previous study, we have identified ZNF180, a zinc finger protein, as a pro-tumorigenic regulator in primary melanoma and a marker for poor prognosis. Herein, we report that ZNF180-regulated pathway, hence ZNF180-regulome, underlies resistance towards immune checkpoint inhibitions (ICIs). MethodsTo investigate regulatory roles of ZNF180 to confer these immune suppressive phenotypes, we performed ZNF180 knock-down in melanoma cells in vitro with different genetic backgrounds, namely A375 (BRAF-mutant) and SKMEL147 (NRAS-mutant) cells, and performed RNA- and ATAC-sequencing. We performed integrative analysis of RNA- and ATAC-sequencing data with publicly available sequencing data from ICI-treated cohorts to construct comprehensive model of ZNF180-regulome and its impacts on immune microenvironment. Further, we performed ZNF180 silencing in immune competent Yumm1.7 murine model to confirm the changes in immune microenvironments. ResultsZNF180-regulome was predictive of ICI responses in independent bulk sequencing cohorts, and ZNF180+ tumors persisted after the therapy with immune-suppressive features such as MHC-I loss and CD155 expressions, the primary ligand to TIGIT inhibitory receptor. Further, ZNF180 silencing revealed its regulations on AP-1 transcription factors to drive melanoma reprogramming towards de-differentiated MITFlowAXLhigh cells, an established melanoma subtypes associated with recurrence and ICI resistance. In tandem, we observed that ZNF180+ tumor neighborhood significantly excluded with CD4 T-cells in metastatic tumor, and its silencing in immune competent murine model increased CD4 helper T-cell infiltrations with significant tumor regression in vivo. ConclusionCollectively, these results indicate ZNF180 is a tumor intrinsic regulator of melanoma plasticity to drive de-differentiated phenotypes with immune-suppressive features including loss of immunogenicity, T-cell inhibitory signals through TIGIT/CD155 checkpoint and exclusion of CD4 helper T-cells. As ZNF180-regulome manifests in non-metastatic melanoma in contrast to the current focus of standard-of-care ICI on the metastatic disease, these results establish ZNF180-regulome as a biomarker and novel therapeutic avenue for early-stage, non-metastatic melanoma to intervene ICI resistance.

cancer biology↗

bioRxiv2025

Increased immunogen valency improves the maturation of vaccine-elicited HIV-1 VRC01-class antibodies

Antibodies belonging to the VRC01-class display broad and potent neutralizing activities and have been isolated from several people living with HIV (PLWH). A member of that class, monoclonal antibody VRC01, was shown to reduce HIV-acquisition in two phase 2b efficacy trials. VRC01-class antibodies are therefore expected to be a key component of an effective HIV-1 vaccine. In contrast to the VRC01-class antibodies that are highly mutated, their unmutated forms do not engage HIV-1 envelope (Env) and do not display neutralizing activities. Hence, specifically modified Env-derived proteins have been designed to engage the unmutated forms of VRC01-class antibodies, and to activate the corresponding naive B cells. Selected heterologous Env must then be used as boost immunogens to guide the proper maturation of these elicited VRC01-class antibodies. Here we examined whether and how the valency of the prime and boost immunogens influences VRC01-class antibody-maturation. Our findings indicate that, indeed the valency of the immunogen affects the maturation of elicited antibody responses by preferentially selecting VRC01-class antibodies that have accumulated somatic mutations present in broadly neutralizing VRC01-class antibodies isolated from PLWH. As a result, antibodies isolated from animals immunized with the higher valency immunogens display broader Env cross-binding properties and improved neutralizing potentials than those isolated from animals immunized with the lower valency immunogens. Our results are relevant to current and upcoming phase 1 clinical trials that evaluate the ability of novel immunogens aiming to elicit cross-reactive VRC01-class antibody responses. AUTHOR SUMMARYPA performed ELISA, B cell sorting, BCR sequencing analysis, oversaw the analysis of all immunochemical assays, interpreted the results and wrote the manuscript; AK processed tissues from immunized animals, performed B cell staining, and generated mAbs; KRS performed BLI and BCR sequencing; AM performed BCR sequencing; DR and FAM performed phylogenetic analysis and contributed to writing the manuscript; AR performed ELISA and processed tissues from immunized animals, ABS expressed and purified recombinant Envs; LKS expressed and purified mVRC01 mAb; XS and DM performed neutralization assays; LS conceived and oversaw the study and wrote the manuscript.

immunology↗

bioRxiv2025

DANCE: An open-source analysis pipeline and low-cost hardware to quantify aggression and courtship in Drosophila

Quantifying animal behavior is pivotal for identifying the underlying neuronal and genetic mechanisms involved. Computational approaches have enabled automated analysis of complex behaviors such as aggression and courtship in Drosophila. However, existing approaches rely on rigid, rule-based algorithms and expensive hardware, limiting sensitivity to behavioral variations and accessibility. Here, we describe the Drosophila Aggression and Courtship Evaluator (DANCE), a low-cost, open-source platform that combines machine learning-based classifiers and inexpensive hardware to quantify aggression and courtship. DANCE consists of six novel behavioral classifiers trained using a supervised machine learning algorithm. DANCE classifiers address key limitations of rule-based algorithms, capturing dynamic behavioral variations more effectively. DANCE hardware is constructed using repurposed medicine blister packs and acrylic sheets, with recordings performed using smartphones, making it affordable and accessible. Benchmarking demonstrated that DANCE hardware performs comparably to sophisticated, high-cost setups. We validated DANCE in diverse contexts, including social isolation versus enrichment, which modulates aggression and courtship; RNAi-mediated downregulation of the neuropeptide Dsk; and optogenetic silencing of dopaminergic neurons, which promotes aggression. DANCE provides a cost-effective and portable solution for studying Drosophila behaviors in resource-limited settings or near natural habitats. Its accessibility and robust performance democratize behavioral neuroscience, enabling rapid screening of genes and neuronal circuits underlying complex social behaviors.

neuroscience↗

bioRxiv2024

Predicting Prognostic Bidirectional Molecular Signatures Associating Myocardial Infarction and Lung Cancer: An In-Silico Perspective

Myocardial Infarction (MI) and lung cancers substantially contributors to morbidity and mortality. They share common risk factors such as smoking, and hypertension. There is a pressing need to identify bidirectional molecular signatures linking MI and lung cancer relationship to create a unique triage to improve the clinical outcomes of the patient. In the current work, we extracted the common differentially expressed genes (DEGs) between MI and lung cancer and identified 2339 upregulated and 2973 downregulated genes in MI datasets; 952 upregulated and 653 downregulated genes in LUAD; 1466 upregulated and 2816 downregulated genes in LUSC. Among these, 27 genes (11 upregulated and 16 downregulated) were common across MI, LUAD, and LUSC. Functional enrichment analysis revealed shared biological processes, such as inflammatory response, and cell differentiation. KEGG pathway analysis highlighted common pathways such as B cell receptor signaling, TNF signaling. A protein-protein interaction study with STRING revealed a variety of interaction partners; miRNA-mRNA network analysis characterizes conserved binding sites for 6 genes while overall survival analysis for lung cancer patients shows a significant association with prognosis. In addition, machine learning models built using the Support Vector Machine and Random Forest algorithms demonstrated high AUROC values of 0.79 and 0.81 respectively on balanced dataset in the classifying MI patients from non-MI patients. Lastly, based on drug repurposing analysis, we proposed FDA-approved drugs such as Venetoclax, Lomitapide, Regorafenib that could potentially target these genes, indicating novel therapeutic options for the co-occurring conditions of MI and lung cancer. Our findings highlight the similarities in molecular makeup between lung cancer and MI, providing information for future investigations and therapeutic approaches.

bioinformatics↗

bioRxiv2024

High Throughput Meta-analysis of Antimicrobial Peptides for Characterizing Class Specific Therapeutic Candidates: An in-silico Approach

The increasing incidence of antimicrobial resistance (AMR) is becoming a serious concern worldwide and requires newer drugs. Recent evidence has shown growing interest in developing peptide-based therapeutics to tackle AMR. In the current study, we performed a meta-analysis of nearly 8.6 million predicted antimicrobial peptides (AMPs) and assessed their antibacterial, antiviral, and antifungal activity. We created high-quality, class-specific datasets and performed several analyses, including amino acid composition, motif preference, physiochemical properties, etc. We observed significant differences in the residue composition, charge, molecular weight, pI value, and instability index of peptides among 3 AMP classes. We further developed multiple machine learning models to predict peptide activity using the dataset. Our Extratree model developed using composition-based features achieved the highest AUROC of 0.98 for antibacterial peptide (ABP), 0.99 for antiviral peptide (AVP), and 0.99 for antifungal peptide (AFP) prediction when tested on an independent dataset. Subsequent filtering of peptides based on moonlighting properties (toxicity, allergenicity, cell-penetrating ability, half-life, and secondary structure) yielded a list of peptides that exhibit substantial therapeutic potential. We further selected the top 10 peptides in each category based on their half-lives, predicted their 3D structures using ColabFold, a feature built into ChimeraX1.8 software, and used HDock to perform molecular docking analysis with a pathogenic protein selected from an organism in each class. Docking studies demonstrated strong interaction between peptides and proteins, and based on free energy, we ranked the peptides. Overall, we have put forth class-specific peptides with high therapeutic potential based on rigorous meta-analysis encompassing [~]8.6 million AMPs.

bioinformatics↗

bioRxiv2024

Unique Signatures of Highly Constrained Genes Across Publicly Available Genomic Databases

Publicly available genomic databases and genetic constraint scores are crucial in understanding human population variation and the identification of variants that are likely to have a deleterious impact causing human disease. We utilized the one of largest publicly available databases, gnomAD, to determine genes that are highly constrained for only LoF, only missense, and both LoF/missense variants, identified their unique signatures, and explored their causal relationship with human conditions. Those genes were evaluated for unique patterns including their chromosomal location, tissue level expression, gene ontology analysis, and gene family categorization using multiple publicly available databases. Those highly constrained genes associated with human disease, we identified unique patterns of inheritance, protein size, and enrichment in distinct molecular pathways. In addition, we identified a cohort of highly constrained genes that are currently not known to cause human disease, that we suggest will be candidates to pursue as novel disease-associated genes. In summary, these insights not only elucidate biological pathways of highly constrained genes that expand our understanding of critical cellular proteins but also advance research in rare diseases.

genetics↗

bioRxiv2024

Characterizing the role of exosomal miRNAs in metastasis

BackgroundExosomal microRNAs (exomiRs), transported via exosomes, play a pivotal role in intercellular communication. In cancer, exomiRs influence tumor progression by regulating key cellular processes such as proliferation, angiogenesis, and metastasis. Their role in mediating communication between cancer cells and the tumor microenvironment highlights their significance as potential diagnostic and therapeutic targets. MethodologyIn this study, we aimed to characterize the role of exomiRs in influencing the pre-metastatic niche (PMN). Across 7 tumor types, including 4 cell lines and three tumors, we extracted high confidence exomiRs (Log FC >= 2 in exosomes relative to control) and their targets (experimentally identified and targeted by at least 2 exomiRs). Subsequently, we identified enriched pathways and selected the top 100 high-confidence exomiR targets based on the frequency of their appearance in the enriched pathways. These top 100 targets were consistently used throughout the analysis. ResultsCancer cell line and tumor derived ExomiRs have significantly higher GC content relative to genomic background. Pathway enriched among the top exomiR targets included general cancer-associated processes such as "wound healing" and "regulation of epithelial cell proliferation", as well as cancer-specific processes, such as "regulation of angiogenesis in kidney" (KIRC), "ossification" in lung (LUAD), and "positive regulation of cytokine production" in pancreatic cancer (PAAD). Similarly, Pathways in cancer and MicroRNAs in cancer ranked among the top 10 enriched KEGG pathways in all cancer types. ExomiR targets were not only enriched for cancer-specific tumor suppressor genes (TSG) but are also downregulated in pre-metastatic niche formed in lungs compared to normal lung. Motif analysis shows high similarity among motifs identified from exomiRs across cancer types. Our analysis recapitulates exomiRs associated with M2 macrophage differentiation and chemoresistance such as miR-21 and miR-222-3p, regulating signaling pathways such as PTEN/PI3/Akt, NF-{kappa}B, etc. Cox regression indicated that exomiR targets are significantly associated with overall survival of patients in TCGA. Lastly, a Support Vector Machine (SVM) model using exomiR target gene expression classified responders and non-responders to neoadjuvant chemotherapy with an AUROC of 0.96 (in LUAD), higher than other previously reported gene signatures. ConclusionOur study characterizes the pivotal role of exomiRs in shaping the PMN in diverse cancers, underscoring their diagnostic and therapeutic potential.

bioinformatics↗

bioRxiv2024

Integrated in vivo functional screens and multi-omics analyses identify alpha-2,3-sialylation as essential for melanoma maintenance

Glycosylation is a hallmark of cancer biology, and altered glycosylation influences multiple facets of melanoma growth and progression. To identify glycosyltransferases, glycans, and glycoproteins essential for melanoma maintenance, we conducted an in vivo growth screen with a pooled shRNA library of glycosyltransferases, lectin microarray profiling of benign nevi and melanoma patient samples, and mass spectrometry-based glycoproteomics. We found that -2,3 sialyltransferases ST3GAL1 and ST3GAL2 and corresponding -2,3-linked sialosides are upregulated in melanoma compared to nevi and are essential for melanoma growth in vivo and in vitro. Glycoproteomics revealed that glycoprotein targets of ST3GAL1 and ST3GAL2 are enriched in transmembrane proteins involved in growth signaling, including the amino acid transporter Solute Carrier Family 3 Member 2 (SLC3A2/CD98hc). CD98hc suppression mimicked the effect of ST3GAL1 and ST3GAL2 silencing, inhibiting melanoma cell proliferation. We found that both CD98hc protein stability and its pro-survival effect in melanoma are dependent upon -2,3 sialylation mediated by ST3GAL1 and ST3GAL2. In summary, our studies reveal that -2,3-sialosides functionally contribute to melanoma maintenance, supporting ST3GAL1 and ST3GAL2 as novel therapeutic targets in these tumors.

cancer biology↗

bioRxiv2024

Aligning with the predecessors and counterarguments: A systematic review of the anatomical correlates for the newly discovered meningeal layer in the existing literature

A recent study reported the existence of a subarachnoid lymphatic-like membrane (SLYM) -an intermediate leptomeningeal layer between the arachnoid and pia mater in mice and human brains - dividing the subarachnoid space (SAS) into two functional compartments. Despite being a macroscopic structure, how it missed detection in previous studies is surprising. We systematically reviewed the published reports in animals and humans to explore whether prior descriptions of this meningeal layer have existed. An electronic search was conducted in PubMed/Medline, EMBASE, Google Scholar, Science Direct, and Web of Science databases using combinations of MeSH terms and keywords with Boolean operators from inception until 31st Dec 2023. We found at least eight studies that provided structural evidence of an intermediate leptomeningeal layer in the brain or spinal cord. However, unequivocal descriptions for this layer all along the central nervous system were scarce. Obscured names were used to describe it, i.e., the epipial layer, intermediate meningeal layer, intermediate lamella, and outer pial layer. Its microscopic/ultrastructural details closely resembled the SLYM. Further, we examined the counterarguments in current literature that are skeptical of this layers existence. Considering the significant physiological/clinical implications, exploring further structural and functional details of the new meningeal layer is a need of the hour.

neuroscience↗

bioRxiv2023

SonoPrint: Acoustically Assisted Volumetric 3D Printing for Composites

Advancements in additive manufacturing in composites have transformed various fields in aerospace, medical devices, tissue engineering, and electronics, enabling fine-tuning material properties by reinforcing internal particles and adjusting their type, orientation, and volume fraction. This capability opens new possibilities for tailoring materials to specific applications and optimizing the performance of 3D-printed objects. Existing reinforcement strategies are restricted to pattern types, alignment areas, and particle characteristics. Alternatively, acoustics provide versatility by controlling particles independent of their size, geometry, and charge and can create intricate pattern formations. Despite the potential of acoustics in most 3D printing, limitation arises from the scattering of the acoustic field between the polymerized hard layers and the unpolymerized resin, leading to undesirable patterning formation. However, this challenge can be addressed by adopting a novel approach that involves simultaneous reinforcement and printing the entire structure. Here, we present SonoPrint, an acoustically-assisted volumetric 3D printer that produces mechanically tunable composite geometries by patterning reinforcement microparticles within the fabricated structure. SonoPrint creates a standing wave field that produces a targeted particle motif in the photosensitive resin while simultaneously printing the object in just a few minutes. We have also demonstrated various patterning configurations such as lines, radial lines, circles, rhombuses, quadrilaterals, and hexagons using microscopic particles such as glass, metal, and polystyrene particles. Furthermore, we fabricated diverse composites using different resins, achieving 87 microns feature size. We have shown that the printed structure with patterned microparticles increased their tensile and compression strength by [~]38% and [~]75%, respectively.

bioengineering↗

bioRxiv2023

Predicting gene expression changes upon epigenomic drug treatment

BackgroundTumors are characterized by global changes in epigenetic changes such as DNA methylation and histone modifications that are functionally linked to tumor progression. Accordingly, several drugs targeting the epigenome have been proposed for cancer therapy, notably, histone deacetylase inhibitors (HDACi) such as Vorinostatis and DNA methyltransferase inhibitors (DNMTi) such as Zebularine. However, a fundamental challenge with such approaches is the lack of genomic specificity, i.e., the transcriptional changes at different genomic loci can be highly variable thus making it difficult to predict the consequences on the global transcriptome and drug response. For instance, treatment with DNMTi may upregulate the expression of not only a tumor suppressor but also an oncogene leading to unintended adverse effect. MethodsGiven the pre-treatment transcriptome and epigenomic profile of a sample, we assessed the extent of predictability of locus-specific changes in gene expression upon treatment with HDACi using machine learning. ResultsWe found that in two cell lines (HCT116 treated with Largazole at 8 doses and RH4 treated with Entinostat at 1{micro}M) where the appropriate data (pre-treatment transcriptome and epigenome as well as post-treatment transcriptome) is available, our model distinguished the post-treatment up versus downregulated genes with high accuracy (up to ROC of 0.89). Furthermore, a model trained on one cell line is applicable to another cell line suggesting generalizability of the model. ConclusionsHere we present a first assessment of the predictability of genome-wide transcriptomic changes upon treatment with HDACi. Lack of appropriate omics data from clinical trials of epigenetic drugs currently hampers the assessment of applicability of our approach in clinical setting.

bioinformatics↗

bioRxiv2023

ACKR3-arrestin2/3 complexes reveal molecular consequences of GRK-dependent barcoding

Atypical chemokine receptor 3 (ACKR3, also known as CXCR7) is a scavenger receptor that regulates extracellular levels of the chemokine CXCL12 to maintain responsiveness of its partner, the G protein-coupled receptor (GPCR), CXCR4. ACKR3 is notable because it does not couple to G proteins and instead is completely biased towards arrestins. Our previous studies revealed that GRK2 and GRK5 install distinct distributions of phosphates (or "barcodes") on the ACKR3 carboxy terminal tail, but how these unique barcodes drive different cellular outcomes is not understood. It is also not known if arrestin2 (Arr2) and 3 (Arr3) bind to these barcodes in distinct ways. Here we report cryo-electron microscopy structures of Arr2 and Arr3 in complex with ACKR3 phosphorylated by either GRK2 or GRK5. Unexpectedly, the finger loops of Arr2 and 3 directly insert into the detergent/membrane instead of the transmembrane core of ACKR3, in contrast to previously reported "core" GPCR-arrestin complexes. The distance between the phosphorylation barcode and the receptor transmembrane core regulates the interaction mode of arrestin, alternating between a tighter complex for GRK5 sites and heterogenous primarily "tail only" complexes for GRK2 sites. Arr2 and 3 bind at different angles relative to the core of ACKR3, likely due to differences in membrane/micelle anchoring at their C-edge loops. Our structural investigations were facilitated by Fab7, a novel Fab that binds both Arr2 and 3 in their activated states irrespective of receptor or phosphorylation status, rendering it a potentially useful tool to aid structure determination of any native GPCR-arrestin complex. The structures provide unprecedented insight into how different phosphorylation barcodes and arrestin isoforms can globally affect the configuration of receptor-arrestin complexes. These differences may promote unique downstream intracellular interactions and cellular responses. Our structures also suggest that the 100% bias of ACKR3 for arrestins is driven by the ability of arrestins, but not G proteins, to bind GRK-phosphorylated ACKR3 even when excluded from the receptor cytoplasmic binding pocket.

biochemistry↗

bioRxiv2023

Direct Intake Estimation and Longitudinal Tracking of Solid-food Consumption (DIETS) in Drosophila

The fruit fly Drosophila melanogaster offers a powerful model to study how diet affects the body and brain. However, existing methods for measuring their food intake often rely on dyes or tags mixed with food, which can be inaccurate due to how the flies absorb and eliminate them. Capillary-based assays like CAFE directly measure consumption, but only work with liquids and shorten fly lifespan. Additionally, capillary assays are incompatible with delivering viscous foods like high-fat diets. Even solidified high-fat diets tend to be sticky death traps for flies. Another longstanding challenge for fly researchers is that dietary restriction in flies involves diluting food, leading to compensatory feeding. To address these shortcomings, we have developed DIETS, a sensitive feeding assay that can be implemented even in low-resource settings. DIETS eliminates the need for labels and directly weighs the solid food consumed by small groups of flies over extended periods of hours to weeks. It allows us to deliver precise amounts of food to flies and implement accurate dietary restrictions. Importantly, DIETS is compatible with studying energy-dense high-fat diets. Using DIETS, we observed that, unlike a high-sugar diet, an isocaloric high-fat diet did not improve the flies ability to withstand starvation, even though they consumed more calories and had higher fat deposition.

animal behavior and cognition↗

bioRxiv2023

Network-based approach elucidates critical genes in BRCA subtypes and chemotherapy response in Triple Negative Breast Cancer

Breast cancers exhibit substantial transcriptional heterogeneity, posing a significant challenge to the prediction of treatment response and prognostication of outcomes. Especially, translation of TNBC subtypes to the clinic remains a work in progress, in part because of a lack of clear transcriptional signatures distinguishing the subtypes. Our recent network-based approach, PathExt, demonstrates that global transcriptional changes in a disease context are likely mediated by a small number of key genes, and these mediators may better reflect functional or translationally relevant heterogeneity. We apply PathExt to 1059 BRCA tumors and 112 healthy control samples across 4 subtypes to identify frequent, key-mediator genes in each BRCA subtype. Compared to conventional differential expression analysis, PathExt-identified genes (1) exhibit greater concordance across tumors, revealing shared as well as BRCA subtype-specific biological processes, (2) better recapitulate BRCA-associated genes in multiple benchmarks, and (3) exhibit greater dependency scores in BRCA subtype-specific cancer cell lines. Single cell transcriptomes of BRCA subtype tumors reveal a subtype-specific distribution of PathExt-identified genes in multiple cell types from the tumor microenvironment. Application of PathExt to a TNBC chemotherapy response dataset identified TNBC subtype-specific key genes and biological processes associated with resistance. We described putative drugs that target top novel genes potentially mediating drug resistance. Overall, PathExt applied to breast cancer refines previous views of gene expression heterogeneity and identifies potential mediators of TNBC subtypes, including potential therapeutic targets.

bioinformatics↗