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Biology subjects

Shah, J.

Publications and source records attributed to Shah, J..

At least 19 recordsLinked to original sources

3D Imaging of Honeybee Swarm Assembly and Disassembly

When honeybee colonies reproduce by fission, several thousand bees and their queen depart the parental nest and temporarily form a dense cluster on a tree branch or other surface while searching for a new nest site. Once the new nest site is selected, the swarm disassembles and flies toward it. How honeybees transition rapidly between dispersed flight and an aggregated cluster remains an open question. Here, we develop an experimental system and three-dimensional imaging pipeline to track individual flying bees together with the evolving morphology of the swarm during formation and dissolution. We report results from a representative swarming event. During assembly, swarms rapidly form low-density clusters before undergoing a slower contraction to a more dense steady state configuration. In contrast, disassembly occurs significantly faster than assembly and is characterized by strongly divergent flight, with bees departing the swarm in all directions. Overall, this method is able to demonstrate the coupled flight and morphological dynamics that underlie honeybee swarm assembly. Because the system is relatively low-cost and low-power, it is readily adaptable for three-dimensional imaging of other biological collectives in naturalistic environments.

animal behavior and cognition↗

What comes after de novo? Automated lead optimization of proteins with CRADLE-1

Lead optimization remains the longest and most expensive step in pre-clinical drug discovery, typically consuming 12-36 months whilst costing $5M-$15M per candidate. We introduce O_SCPLOWCRADLEC_SCPLOWO_SCPCAP-1C_SCPCAP, an automated framework for protein engineering. While O_SCPLOWCRADLEC_SCPLOWO_SCPCAP-1C_SCPCAP supports the full process of drug discovery and industrial protein engineering pipelines, including hit identification and de novo binder design, this work focuses on its application to multi-property lead optimization across protein modalities (VHHs, scFvs, IgGs, peptides, enzymes, CRISPR systems, vaccines). We show it is 4-7x faster than rational design, as measured by the number of wet lab rounds required. We provide in-vitro validation across all of the above modalities, typically optimizing multiple properties simultaneously (single and polyspecific binding down to picomolar, activity, thermostability,...). Technically, O_SCPLOWCRADLEC_SCPLOWO_SCPCAP-1C_SCPCAP starts with pre-trained foundation protein language models (PLMs), which are fine-tuned in unsupervised fashion on evolutionary neighborhoods, in supervised fashion using lab-in-the-loop data, and then deployed in a multi-model workflow. Of additional interest, we find that (a) the end-to-end system may be run in automated fashion; (b) wet lab data may be consumed in black box fashion without knowledge of the underlying biochemical mechanisms; (c) structural data may largely be superseded by sequence-function pairs.

bioengineering↗

High resolution and quantitative imaging of the postmortem brain

MRI of fixed tissue is an excellent way to study pathological changes caused by different diseases with great anatomical detail. It is, however, known that properties of tissue change with fixation. The aim of this study was to determine the variability of several quantitative MRI (qMRI) parameters in fixed brain tissue obtained from donors unaffected by neurological conditions and investigate the existence of quantitative parameters which vary little between specimens. We introduce a 3D method for high-resolution mapping of water content, T1 and T2* relaxation times and parameters characterising magnetisation transfer and apply it at 3T to 7 whole, fixed human brains (3 male, 4 female, aged between 47 and 79 years, mean age 67 years). The qMRI parameters determined include relaxation rates T1 and T2*, MT ratio and T1 and T2* after MT. From these we can further derive semiquantitative MT parameters such as the exchange rate (ktrans) and bound pool fraction (fbound). Correlations between these parameters are investigated. In addition, truly quantitative water content determined non-invasively with MRI is reported on whole human post mortem brains - to our knowledge, for the first time. Water content was found to have mean values of 73% for WM and 85% for GM with standard deviation below 2.5% over 7 brains, and thus a few percent units higher than in vivo (69% and 81%) and of comparable constancy.

biophysics↗

4D force patterning enables spatial control of angiogenesis

Engineering organized microvascular networks remains a critical challenge in tissue engineering and regenerative medicine. While biochemical approaches for patterning angiogenesis via growth factor delivery have shown promise, their inability to pattern sustained growth factors with spatiotemporal control limits effectiveness. Here, we demonstrate that dynamically patterned mechanical forces enable precise spatiotemporal control over angiogenic sprouting. We developed a magnetically actuated human vessel-on-a-chip platform that integrates a perfusable endothelialized microchannel within a collagen matrix and allows non-invasive and tunable mechanical stimulation across three spatial dimensions and time (4D). Using an automated 3-axis actuator, we systematically investigated how strain magnitude, frequency, and direction modulate endothelial cell behavior and vessel morphogenesis. Dynamic mechanical stimulation at physiological strain magnitudes (5-15%) enhanced endothelial alignment and barrier function while promoting angiogenesis in a strain-magnitude-dependent manner: lower dynamic strain (5%) maximized sprout initiation, whereas higher dynamic strain (15%) promoted elongation of sprouts. Sequential reorientation of strain direction reprogrammed sprouting trajectories along X, Y, and Z directions, generating complex sprout geometries such as L-shaped branches. RNA sequencing revealed mechanically induced transcriptional profiles distinct from unstimulated controls, characterized by upregulation of genes associated with angiogenesis, mechanotransduction, and extracellular matrix remodeling. Functional perturbation of Piezo1 reduced strain-induced sprouting without altering barrier stabilization, indicating that dynamic mechanical stimulation engages multiple mechanotransduction pathways to regulate angiogenesis. Collectively, these findings establish a strategy for spatiotemporally controlled angiogenesis through 4D force patterning to program vascular morphogenesis while preserving function. This approach provides a foundation for engineering hierarchically organized vascular networks for tissue regeneration. SignificanceGeneration of spatially organized, perfusable microvascular networks is essential for building functional human tissues. Biochemical approaches to pattern angiogenesis rely on diffusive growth factors, which limit control over spatiotemporal sprouting dynamics. Here, we demonstrate that dynamically patterned mechanical forces direct vascular morphogenesis across three spatial dimensions and time (4D). Using a magnetically actuated human vessel-on-a-chip, we show how strain magnitude and orientation govern angiogenic sprouting and reveal transcriptional programs linking mechanical cues to observed functional changes. For the first time, we show that dynamic reorientation of imposed forces can reprogram angiogenic trajectories in real-time. This platform enables programmable mechanical control of angiogenesis and systematic dissection of mechanotransduction pathways, advancing strategies for tissue vascularization, and modeling mechanically regulated vascular diseases.

bioengineering↗

Scm3 interacts with the N-terminal tail of Cse4 to regulate kinetochore assembly in budding yeast

The kinetochore is a multiprotein complex formed at the centromeres and is essential for the faithful chromosome segregation. In most of the organisms the kinetochore is assembled on a specialized centromeric nucleosome where histone H3 is replaced by a variant, named CENP-A. In budding yeast, the CENP-A homolog, Cse4 is recruited to the centromeric nucleosome through an interaction between its C-terminal domain and a specific chaperone, named Scm3. Interestingly, following Cse4 recruitment during S phase, Scm3 persists at the centromeres throughout the cell cycle. Recent in vitro studies have reported that Scm3 also interacts with N-terminal of Cse4 (N-C) that in turn facilitates a better interaction of Ame1-Okp1 (AO) of COMA subcomplex with N-C, which promotes kinetochore assembly. In this work, using genetic and biochemical assays we provide in vivo evidence of the interaction between Scm3 and N-C. Additionally, by artificially tethering Scm3, we show that their association has the potential to stabilize a missegregating chromosome with inactive centromere, perhaps by forming an active kinetochore at an ectopic site. We propose that at the centromeres, Scm3 has two jobs in tandem - Cse4 deposition and stabilization of N-C, which together culminates into proper kinetochore assembly. This work has clinical significance as both CENP-A and its chaperone are known to be upregulated in human cells under disease states which can predispose the cells to aneuploidy due to increased chances of forming ectopic kinetochores.

cell biology↗

Stc2a inhibits IGF-stimulated somatic growth in favor of organismal survival under hypoxia

In response to hypoxia, animals reduce somatic growth to shift energy resources toward the maintenance of vital functions and survival. Although this phenomenon is widespread in the animal kingdom, the factors and mechanisms involved remain poorly understood. Here we report that hypoxia causes major changes in zebrafish transcriptomic landscapes with hormonal activity or hormonal signaling identified as most prominently up-regulated GO term and KEGG pathway. Among the top in this group is Stanniocalcin 2a (Stc2a), a secreted glycoprotein that inhibits insulin-like growth factor (IGF) signaling by binding to pappalysin metalloproteinases and inhibiting their activities. The hypoxic induction of stc2a expression is attenuated in Hif2-deficient fish. Genetic deletion of Stc2a increased the developmental speed and growth rate, resulting in enlarged adult organ and body size. Under hypoxia, stc2a-/- fish grew faster than wild-type fish but showed reduced survival rate. These phenotypes were reversed by inhibiting pappalysin activity or blocking IGF signaling. These findings suggest that Stc2a limits IGF-mediated growth in favor of survival and that the induction of Stc2a is part of a conserved mechanism regulating the trade-off between somatic growth and survival under hypoxic stress.

physiology↗

QSProteome: A Community-Driven Interactive Platform for Large-Scale Exploration and Evaluation of Predicted Protein Complex Structures.

QSProteome (https://QSProteome.org) is a community-scale platform for modeling, evaluating, and refining quaternary protein structure. The resource hosts 35,528 unique modeled assemblies spanning over 42,000 genes, covering nearly all curated complexes in BioCyc and ComplexPortal databases. Each model is displayed on an interactive page with 3D visualization, chain-level confidence metrics, structural alignments, functional annotations, and automated stoichiometry checks against database expectations. A cloud-based server supports continuous user uploads and automated processing pipelines--enabling submission and validation of >54,000 models within 14 weeks. To promote iterative refinement, QSProteome includes a gamified re-curation workflow that transitions users from training modules into live curation, enabling the community-led assessment of 1,547 ABC transporter complexes. Together, these components form a dynamic, scalable infrastructure for proteome-scale structural biology. By unifying modeling, validation, and annotation in a reusable, searchable, and community-extensible framework, QSProteome enables proteome-scale structure accessibility and reuse--powering discovery, annotation, and collaborative refinement across the structural biology community.

bioinformatics↗

Distinct CD8+ T-cell types Associated with COVID-19 Severity in Unvaccinated HLA-A2+ Patients

Although emerging data have revealed the critical role of memory CD8+ T cells in preventing and controlling SARS-CoV-2 infection, virus-specific CD8+ T-cell responses against SARS-CoV-2 and its memory and innate-like subsets in unvaccinated COVID-19 patients with various disease manifestations in an HLA-restricted fashion remain to be understood. Here, we show the strong association of protective cellular immunity with mild COVID-19 and unique cell types against SARS-CoV-2 virus in an HLA-A2 restricted manner. ELISpot assays reveal that SARS-CoV-2-specific CD8+ T-cell responses in mild COVID-19 patients are significantly higher than in severe patients, whereas neutralizing antibody responses against SARS-CoV-2 virus significantly correlate with disease severity. Single-cell analyses of HLA-A2-restricted CD8+ T cells, which recognize highly conserved immunodominant SARS-CoV-2-specific epitopes, demonstrate divergent profiles in unvaccinated patients with mild versus severe disease. CD8+ T-cell types including cytotoxic KLRB1+ CD8 cells with innate-like T-cell signatures, IFNGhiID3hi memory cells and IL7R+ proliferative stem cell-like memory cells are preferentially observed in mild COVID-19, whereas distinct terminally-differentiated T-cell subsets are predominantly detected in severe COVID-19: highly activated FASLhi T-cell subsets and early-terminated or dysfunctional IL4R+ GATA3+ stem cell-like memory T-cell subset. In conclusion, our findings suggest that unique and contrasting SARS-CoV-2-specific CD8+ T-cell profiles may dictate COVID-19 severity. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=143 SRC="FIGDIR/small/632164v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@154796corg.highwire.dtl.DTLVardef@efca24org.highwire.dtl.DTLVardef@c01b9corg.highwire.dtl.DTLVardef@54ad83_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstract.C_FLOATNO SARS-CoV-2 epitope-specific CD8+ T-cell subtypes associated with mild or severe COVID-19 patients. Potent memory CD8+ T-cell subtypes with gene signature in mild COVID-19 patients (upper) and dysfunctional CD8+ T-cell subtypes with gene signature in severe COVID-19 patients (lower). C_FIG

immunology↗

Identification of the MRTFA/SRF pathway as a critical regulator of quiescence in cancer.

Chemoresistance is a major driver of cancer deaths. One understudied mechanism of chemoresistance is quiescence. We used single cell culture to identify, retrieve, and RNA-Seq profile primary quiescent ovarian cancer cells (qOvCa). We found that many qOvCa differentially expressed genes are transcriptional targets of the Myocardin Related Transcription Factor/Serum Response Factor (MRTF/SRF) pathway. We also found that genetic disruption of MRTF-SRF interaction, or an MRTF/SRF inhibitor (CCG257081) impact qOvCa gene expression and induce a quiescent state in cancer cells. Suggesting a broad role for this pathway in quiescence, CCG257081 treatment induced quiescence in breast, lung, colon, pancreatic and ovarian cancer cells. Furthermore, CCG081 (i) maintained a quiescent state in patient derived breast cancer organoids and, (ii) induced tumor growth arrest in ovarian cancer xenografts. Together, these data suggest that MRTF/SRF pathway is a critical regulator of quiescence in cancer and a possible therapeutic target. SignificanceQuiescence is a critical driver of chemoresistance. The MRFT-SRF pathway regulates cancer cell quiescence and inhibiting the MRTF-SRF pathway can prevent the outgrowth of quiescent cancer cells and improve cancer outcomes.

cancer biology↗

A First-in-Class Dual Degrader of Bcl-2/Bcl-xL Reverses HIV Latency and Eliminates Ex Vivo Reservoirs

The persistence of latent HIV-1 proviruses in CD4+ T cells is a major obstacle to curing HIV. The "shock and kill" strategy involves reversing latency with latency-reversing agents (LRAs) and selectively inducing cell death in infected cells. However, current LRAs have shown limited efficacy in eliminating the ex vivo HIV reservoir. We repurposed PZ703b, a pro-apoptotic protein degrader initially developed for anti-leukemia therapy, to target HIV eradication. PZ703b induced degradation of Bcl-2 and Bcl-xL, activating the non-canonical NF-kB pathway and caspases cascade, resulting in latency reversal and selective apoptosis of infected cells. Treatment of ex vivo CD4+ T cells from ART-suppressed HIV-1 patients achieved a [~]50% reduction in the replication-competent reservoir. Our study provides proof-of-concept for using protein degraders to reverse HIV latency and induce cell death, highlighting PZ703bs potential in HIV cure strategies. This approach may pave the way for novel therapeutic interventions aimed at eliminating the HIV-inducible reservoir.

molecular biology↗

The Simultaneous Measurement of Reversed Phase-Encoding EPI in a Single fMRI Session at 7T: Quantitative and Qualitative Evaluation of Geometric Distortion Correction in Submillimetre fMRI

The high temporal resolution of echo-planar imaging (EPI) has driven its widespread use in functional MRI (fMRI), and recent advancements in EPI have enabled the mapping of cortical layer-specific functional activities. Notwithstanding these technical innovations, geometric distortion correction in EPI remains essential to ensure accurate functional mapping onto anatomical references. A common approach for distortion correction involves the acquisition of an additional scan, with the phase-encoding direction reversed. However, this extra scan necessitates redundant acquisitions of calibration scans, significantly increasing acquisition time and energy deposition. To address this concern, this work presents a novel EPI scheme that simultaneously acquires both the original and reversed phase-encoding data within a single fMRI session. Furthermore, despite the widespread use of distortion correction, methods for qualitative and quantitative evaluation of its impact on submillimetre fMRI analysis have remained largely unexplored. This study acquires submillimetre visual fMRI data (0.73 x 0.73 mm2) at 7T using the suggested EPI scheme and evaluates the impact of distortion correction through various metrics proposed here, including spatial resolution, co-registration accuracy, functional mapping fidelity, and distribution of functional voxels. Our fMRI acquisition scheme effectively reduced redundant acquisition time and total energy deposition to subjects. Distortion-corrected fMRI data demonstrated significant improvements in co-registration with anatomical scans, thereby enhancing functional mapping accuracy. The improvements were achieved without significant degradation of spatial resolution or alteration of the functional activation distribution. These findings were verified through qualitative and quantitative assessments, highlighting the effectiveness of distortion correction in submillimetre fMRI. HighlightsO_LIWe present a novel fMRI scheme that effectively acquires reversed-PE EPI data C_LIO_LIOur fMRI scheme substantially reduces extra acquisition time and energy deposition C_LIO_LIThe impact of EPI distortion correction is evaluated for submillimetre fMRI C_LIO_LIWe propose diverse qualitative and quantitative metrics, enabling thorough analysis C_LIO_LIDistortion correction demonstrates its effectiveness for high-fidelity fMRI mapping C_LI

neuroscience↗

An In-Vitro Standardized Protocol for Preparing Smoke Extract Media from Cigarette, Electronic Cigarette and Waterpipe.

Cigarette smoke exposure is a major risk factor for various diseases, and in vitro studies using smoke medium (SM) are crucial for elucidating underlying mechanisms. However, the lack of standardized protocols for SM preparation has led to inconsistencies in experimental results. This paper presents an optimized protocol for reproducible generation of SM from conventional cigarette smoke extract (CSE), electronic cigarette smoke (ECS), and waterpipe vapour (WPV). The protocol involves: O_LIA custom-built apparatus for smoke capture in a cell culture medium C_LIO_LISpecific parameters mimicking human smoking topography C_LIO_LIRigorous aseptic techniques and safety measures C_LI Extensive details are provided for material preparation, apparatus setup, smoke generation procedures, and post-processing steps. This standardized method enables reliable in vitro exposure models, easing comparative studies across different tobacco products. To prove protocol consistency, we present optical. Additionally, we highlight the protocols utility by figuring out the SM quality through analysing O.D. data and morphological changes, cell viability assays, ELISA and gene expression analyses i.e., RNA sequencing through several in-vitro models, i.e., Human Umbilical Vein Endothelial Cells, (HUVECs, Merck), human leukaemia monocytic cell line (THP-1, Sigma) and induced pluripotent stem cells differentiated to cardiomyocytes (iPSC-CMs, Axol) respectively. This optimized protocol addresses variability in SM preparation, enabling consistent investigations into smoke-induced pathologies and potential therapeutic interventions. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=124 SRC="FIGDIR/small/606957v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@142ca65org.highwire.dtl.DTLVardef@1f5d797org.highwire.dtl.DTLVardef@11d1e63org.highwire.dtl.DTLVardef@b5fd55_HPS_FORMAT_FIGEXP M_FIG C_FIG Specifications table O_TBL View this table: org.highwire.dtl.DTLVardef@af8a3org.highwire.dtl.DTLVardef@49ccbforg.highwire.dtl.DTLVardef@121329forg.highwire.dtl.DTLVardef@828a3borg.highwire.dtl.DTLVardef@413930_HPS_FORMAT_FIGEXP M_TBL C_TBL

cell biology↗

Evaluating permutation-based inference for partial least squares analysis of neuroimaging data

Partial least squares (PLS) is actively leveraged in neuroimaging work, typically to map latent variables (LVs) representing brain-behaviour associations. LVs are considered statistically significant if they tend to capture more covariance than LVs derived from permuted data, with a Procrustes rotation applied to map each set of permuted LVs to the space defined by the originals, creating an "apples to apples" comparison. Yet, it has not been established whether applying the rotation makes the permutation test more sensitive to whether true LVs are present in a dataset, and it is unclear if significance alone is sufficient to fully characterize a PLS decomposition, given that complementary metrics like strength and split-half stability may offer non-redundant information about the LVs. Accordingly, we performed PLS analyses across a range of simulated datasets with known latent effects, observing that the Procrustes rotation systematically weakened the null distributions for the first LV. By extension, the first LV was nearly always significant, regardless of whether the effect was weak, undersampled, noisy, or simulated at all. But, if no rotation was applied, all possible LVs tended to be significant as we increased the sample size of UK Biobank datasets. Meanwhile, LV strength and stability metrics accurately tracked our confidence that effects were present in simulated data, and allowed for a more nuanced assessment of which LVs may be relevant in the UK Biobank. We end by presenting a list of considerations for researchers implementing PLS permutation testing, and by discussing promising alternative tests which may alleviate the concerns raised by our findings.

neuroscience↗

Multiomics reveals the genomic, proteomic and metabolic influences of histidyl dipeptides on heart

Histidyl dipeptides, are synthesized in the heart via enzyme carnosine synthase (Carns), which facilitates glycolysis and glucose oxidation by proton buffering and attenuate ischemia and reperfusion injury. However, a composite understanding of the histidyl dipeptide mediated responses in the heart are lacking. We performed multilayer omics in the cardio specific Carns overexpressing mice, showing higher myocardial levels of histidyl dipeptides lead to extensive changes in microRNAs that could target the expression of contractile proteins and enzymes involved in {beta}-fatty acid oxidation and citric acid cycle (TCA). Similarly, global proteomics showed contractile function, fatty acid degradation and TCA cycle, pathways were enriched in the CarnsTg heart. Parallel with these changes, free fatty acids, and TCA intermediate-succinic acid were lower under aerobic and significantly attenuated under anaerobic conditions in the CarnsTg heart. Integration of multiomics data shows {beta}-fatty acid oxidation and TCA cycle exhibit correlative changes at all three levels in CarnsTg heart, suggesting histidyl dipeptides are critical regulators of myocardial structure, function and energetics.

systems biology↗

Small-molecule modulators of TRMT2A decrease PolyQ aggregation and PolyQ-induced cell death

Polyglutamine (polyQ) diseases are characterized by an expansion of cytosine-adenine-guanine (CAG) trinucleotide repeats encoding for an uninterrupted prolonged polyQ tract. We previously identified TRMT2A as a strong modifier of polyQ-induced toxicity in an unbiased large-scale screen in Drosophila melanogaster. This work aimed at identifying and validating pharmacological TRMT2A inhibitors as treatment opportunities for polyQ diseases in humans. Computer-aided drug discovery was implemented to identify human TRMT2A inhibitors. Additionally, the crystal structure of one protein domain, the RNA recognition motif (RRM), was determined, and Biacore experiments with the RRM were performed. The identified molecules were validated for their potency to reduce polyQ aggregation and polyQ-induced cell death in human HEK293T cells and patient derived fibroblasts. Our work provides a first step towards pharmacological inhibition of this enzyme and indicates TRMT2A as a viable drug target for polyQ diseases.

molecular biology↗

Modulation of the spontaneous brain activity and functional connectivity in the triple resting-state networks following the visual oddball paradigm

The default mode network (DMN), the salience network (SN), and the central executive network (CEN) could be considered as the core resting-state brain networks (RSN) due to their involvement in a wide range of cognitive tasks. Despite the large body of knowledge relating to their regional spontaneous activity (RSA) and functional connectivity (FC) of these networks, less is known about the influence of task-associated activity on these parameters and on the interaction between these three networks. We have investigated the effects of the visual-oddball paradigm on three fMRI measures (amplitude of low-frequency fluctuations for RSA, regional homogeneity for local FC, and degree centrality for global FC) in these three core RSN networks. A rest-task-rest paradigm was used and the RSNs were identified using independent component analysis (ICA) on the resting-state data. We found that the task-related brain activity induced different patterns of significant changes within the three RS networks. Most changes were strongly associated with the task performance. Furthermore, the task-activity significantly increased the inter-network correlations between the SN and CEN as well as between the DMN and CEN, but not between the DMN and SN. A significant dynamical change in RSA, alongside local and global FC within the three core resting-state networks following a simple cognitive activity may be an expression of the distinct involvement of these networks in the performance of the task and their various outcomes.

neuroscience↗

Cingulin unfolds ZO-1 and organizes myosin-2B and gamma-actin to mechanoregulate apical and tight junction membranes

How junctional proteins regulate the mechanics of the plasma membrane and how actin and myosin isoforms are selectively localized at epithelial cell-cell junctions is poorly understood. Here we show by atomic force indentation microscopy, immunofluorescence analysis and FLIM membrane tension imaging that the tight junction (TJ) protein cingulin maintains apical surface stiffness and TJ membrane tortuosity and down-regulates apico-lateral membrane tension in MDCK cells. KO of cingulin in MDCK, mCCD and Eph4 cells results in a decrease in the juxta-membrane accumulation of labeling for cytoplasmic myosin-2B (NM2B), {gamma}-actin, phalloidin and ARHGEF18, but no detectable effect on myosin-2A (NM2A) and {beta}-actin. Loss of paracingulin leads to weaker mechanical phenotypes in MDCK cells, correlating with no detectable effect on the junctional accumulation of myosins and actins. Cingulin and paracingulin form biomolecular condensates, bind to the ZU5 domain of ZO-1, and are recruited as clients into ZO-1 condensates in a ZU5-dependent manner. Cingulin binding to ZO-1 promotes the unfolding of ZO-1, as determined by interaction with DbpA in cells lacking ZO-2 and in vitro. Cingulin promotes the accumulation of a pool of ZO-1 at the TJ and is required in a ZU5-dependent manner for the recruitment of phalloidin-labelled actin filaments into ZO-1 condensates, suggesting that ZU5-cingulin interaction promotes ZO-1 interaction with actin filaments. Our results indicate that cingulin tethers the juxta-membrane and apical branched {gamma}-actin-NM2B network to TJ to modulate ZO-1 conformation and the TJ assembly of a pool of ZO-1 and fine-tune the distribution of forces to apical and TJ membranes.

cell biology↗

Edaravone-Loaded Mesoscale Nanoparticles Treat Cisplatin-Induced Acute Kidney Injury

Cisplatin-induced acute kidney injury (CI-AKI) is a significant co-morbidity of chemotherapeutic regimens. While this condition is associated with substantially lower survival and increased economic burden, there is no pharmacological agent to effectively treat CI-AKI. The disease is hallmarked by acute tubular necrosis of the proximal tubular epithelial cells primarily due to increased oxidative stress. In our prior work, we developed a highly-selective kidney-targeted mesoscale nanoparticle (MNP) that accumulates primarily in the renal proximal tubular epithelial cells while exhibiting no toxicity. Here, we found that MNPs exhibit renal-selective targeting in multiple mouse models of tumor growth with virtually no tumor accumulation. We then evaluated the therapeutic efficacy of MNPs loaded with the reactive oxygen species scavenger edaravone in a mouse model of CI-AKI. We found a marked and significant therapeutic effect with this approach as compared to free drug or empty control MNPs, including improved renal function, histology, and diminution of oxidative stress. These results indicated that renal-selective MNP edaravone delivery holds substantial potential in the treatment of acute kidney injury among patients undergoing cisplatin-based chemotherapy.

bioengineering↗