Biology subjects

Aggarwal, A.

Publications and source records attributed to Aggarwal, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Proteolytic control of the SARS-CoV-2 furin cleavage site defines the phenotypic evolution from the pandemic to endemic state

The successive emergence of SARS-CoV-2 variants with altered tissue tropism has progressively decoupled transmissibility from lower respiratory tract pathogenicity. Omicron lineages transmit exceptionally well whilst limiting severe lung disease. Here, we demonstrate that this phenotype has evolved through two temporally distinct tissue-specific proteolytic controls at the Spike (S) furin cleavage site (FCS). At the virion level, cell-type-dependent furin-mediated FCS hyper-cleavage depletes S in lung but not nasal epithelial cells. At the infected cell membrane during cell-cell spread, TMPRSS2 mediates S FCS cleavage but is negatively regulated in the presence of ACE2. Tissue-specific solute carriers SLC6A19 and SLC6A20 sequester ACE2, thereby relieving inhibition of TMPRSS2 and enabling S FCS cleavage during cell-cell spread. Critically, whilst all SARS-CoV-2 lineages benefit from this latter pathway, Omicron variants have evolved exclusive dependence on it, a strategic consolidation that focuses S proteolytic activation to TMPRSS2 alone. The combined outcomes of S protein regulation across viral and cell membranes reveal how tissue-specific proteolytic optimisation drives Omicron's transmission fitness advantage in the upper respiratory tract but at the cost of heavy attenuation in the lower respiratory tract.

microbiology↗

bioRxiv2026

Exosome-Derived Proteomic Signatures Highlight Pathogenic Mechanisms in Moyamoya Disease

BackgroundThe etiology and molecular mechanisms of Moyamoya disease (MMD) remain unclear. Exosomes, as carriers of bioactive molecules, may reflect disease-specific alterations and serve as potential biomarkers. This study aimed to investigate disease mechanisms using proteomic profiling of serum-derived exosomes (SDEs) in MMD. Materials and MethodsPeripheral blood each from 15 MMD patients and 15 healthy-controls were used to isolate SDEs via ultracentrifugation. Proteins from pooled SDEs were extracted, digested, and analyzed by LC-MS/MS. Differentially expressed proteins were examined using MetaboAnalyst, DAVID, Enrichr, STRING, and Cytoscape. Key targets were validated at transcript and protein levels using RT-qPCR and ELISA in independent cohorts. ResultsA total of 2,554 proteins were identified, with 213 showing differential expression (118 upregulated, 95 downregulated; p [≤] 0.05). Functional and pathway analyses revealed enrichment in angiogenesis, cytoskeletal remodeling, and endothelial signaling. PRKG2 and MYC were upregulated, while RHOA was downregulated, highlighting their involvement in focal adhesion and PI3K-AKT pathways. Validation confirmed these findings. ConclusionDysregulated proteins were linked to RHOA-ROCK and PI3K-Akt signaling, suggesting their role in driving VSMC phenotypic switching, contributing to vascular occlusion. These findings indicate that altered exosomal-proteins may participate in maladaptive vascular remodeling, although the initial trigger for VSMC transition remains unknown.

systems biology↗

bioRxiv2026

FALCON: Closed-Loop Multi-Objective Optimization of Lipid Nanoparticles for Cell-Selective mRNA Delivery

Efficient, cell type-selective delivery of genetic payloads remains a central challenge in the development of gene and cell therapies. Lipid nanoparticles (LNPs) offer a versatile delivery platform, but their optimization is hindered by reliance on brute-force screening methods that are laborious, resource-intensive, and focus on single targets. Here, we present FALCON (Framework for Active Learning-driven Compositional Optimization of Nanoparticles), a closed-loop pipeline that leverages iterative screening, surrogate modeling, and multi-objective optimization to accelerate LNP compositional design. In B cell-targeted validation experiments, FALCON-optimized LNPs achieved a 1.8-fold increase in splenic B cell transfection in vivo compared with reference compositions. When optimized for selectivity, FALCON LNPs displayed an 84-fold improvement in selective transfection of splenic B cells over off-target liver populations and enabled spleen-tropic behavior across factorial panels of varying ionizable and helper lipid chemistries. In vaccine studies, these LNPs induced higher IgG2c antibody titers and a more Th1-biased immune profile. FALCON was also deployed to optimize LNPs for myeloid cell-selective delivery, achieving enhanced in vivo selectivity following systemic administration both across and within spleen and liver compartments. Our results establish FALCON as a useful tool for data-driven design of LNP compositions for precision gene delivery.

bioengineering↗

bioRxiv2026

Hierarchical classification of immune cell transcriptomes at population-scale

Accurate immune cell classification is essential for interpreting single-cell RNA sequencing (scRNA-seq) data. However, progress in automating cell type annotation is constrained by the lack of independent, high-resolution benchmarks, as routine data integration introduces statistical dependencies that inflate model generalizability. Here, we present the single-cell universal classification omnibus (Suco), a resource of independent, uniform expert annotations, and Compocyte, a modular hierarchical classifier. Together, they establish a framework that substantially outperforms existing classifiers while facilitating expert review of ambiguous annotations. Applying Compocyte across 50 studies, including three newly generated datasets, we classified 15.6 million leukocytes from 3,965 patients. Within this cohort, we identified a new tumor-associated resorptive macrophage phenotype, a non-canonical monocyte subtype in subclinical cytokine release syndrome, and the programmatic erosion of T cell memory stemness across metastatic sites. Suco and Compocyte thus provide a generalizable framework to uncover the principles governing human immunity at population scale. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=101 SRC="FIGDIR/small/728980v2_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@13a6e4borg.highwire.dtl.DTLVardef@11f1626org.highwire.dtl.DTLVardef@1e72bd4org.highwire.dtl.DTLVardef@1ee799b_HPS_FORMAT_FIGEXP M_FIG C_FIG In briefThe single-cell universal classification omnibus and the modular hierarchical classifier Compocyte enable annotating single cell RNA sequencing data from 3,965 patients, revealing novel resorptive macrophage and vaccination-associated monocyte states, alongside the erosion of T cell memory stemness as a hallmark of solid tumor metastases. HighlightsO_LISuco, a benchmark enabling novel single cell artificial intelligence models C_LIO_LICompocyte, a hierarchical cell type classifier outperforming current architectures C_LIO_LIMacrophages adopt osteoclast-like gene expression states across cancer types C_LIO_LIStem-like programs erode in metastasis-infiltrating T memory cells across tumors C_LI

bioinformatics↗

bioRxiv2026

Sex-specific weighting of shoal size and movement speed but no evidence of asymmetric dominance effect in zebrafish shoal-size preference

Social decisions often require animals to integrate information across multiple attributes of potential partners. Using biological motion stimuli, point-displays generated from tracked live shoals, we tested how adult zebrafish (Danio rerio) weigh shoal size and movement speed during social preference, and whether these preferences are susceptible to contextual manipulation by an asymmetrically placed alternative. In Experiment 1, we established a multi-attribute indifference point by presenting males and females with dichotomous contrasts in which shoal size and movement speed were traded off. Both sexes showed no preference when a larger, slower shoal (4 fish at 0.75x speed) was pitted against a smaller, faster shoal (2 fish at 1.25x speed), but preferred the smaller, faster shoal when the speed difference was greater (4 fish at 0.5x versus 2 fish at 1.25x), indicating that zebrafish are sensitive to graded differences in movement speed relative to numerical cues. In Experiment 2, unidimensional tests confirmed that both sexes preferred larger shoals when speed was held constant but revealed sex-based differences in speed sensitivity: males preferred faster-moving shoals at both shoal sizes tested, whereas females showed no significant speed preference. Male shoal size preferences were stronger at higher movement speeds, suggesting that speed modulates the strength of size preference. In Experiment 3, we tested the asymmetric dominance effect in males, the only sex sensitive to both dimensions, using the indifferent contrast from Experiment 1 as the primary options and four decoy shoals asymmetrically placed along either the size or speed dimension, under counterbalanced presentation orders. No decoy shifted male preference significantly from chance under any condition. These results indicate that zebrafish weigh social cues in a sex-specific manner, and that asymmetric decoy options do not induce preference biases in males when shoals vary along the dimensions of movement speed and size.

animal behavior and cognition↗

bioRxiv2026

Multi-modal tissue-aware graph neural network for in silico genetic discovery

Understanding how perturbations influence gene function in a tissue-specific manner is key to uncovering novel drug targets. However, current computational approaches emphasize global network or sequence-derived features over context-driven dependencies. We introduce Mahi, a scalable and interpretable graph neural network framework that learns gene representations by integrating chromatin accessibility, transcription factor binding, histone modifications, and protein structure features in tissue-specific contexts. Through pretraining on tissue-specific network topologies followed by multi-modal feature integration, Mahi learns context-aware gene embeddings across 290 tissues and cell-types. Mahi outperforms sequence-based models in predicting gene essentiality across 1,183 cancer cell lines, demonstrating the advantage of integrating molecular context and functional connectivity. The learned embedding space reveals tissue-specific functional organization, with genes forming distinct clusters reflecting their context-dependent roles. In silico gene knockout perturbations demonstrate Mahis ability to model intricate perturbation responses, identifying disease-relevant pathways and therapeutic targets. Together, these results demonstrate Mahi as a foundation for modeling tissue-specific gene function and perturbation responses, enabling applications in precision medicine, therapeutic target discovery, and prediction of context-dependent genetic vulnerabilities. All embeddings and the framework are publicly available to facilitate use by the scientific community.

genomics↗

bioRxiv2026

A Cationic Amphiphilic Drug (CAD) Defense System in the Nematode Caenorhabditis elegans

Cationic Amphiphilic Drugs (CADs) severely disrupt lysosomal function, which leads to a cellular pathology characterized by excess phospholipids called phospholipidosis. Through a forward genetic screen and mining of published datasets, we discovered that CADs induce the expression of the CYP-35B family of cytochrome P450s and the PGP-13 p-glycoprotein pump via the nuclear receptors NHR-70 and NHR-107 in the nematode C. elegans. A pgp-13 fluorescent reporter revealed hundreds of human drugs that upregulate the CAD defense system in vivo. Chemoinformatic analyses indicate that the pgp-13 reporter may be useful in identifying CADs that have pathogenic potential in humans. Mutant analyses coupled to metabolomics and structural modeling show that the CYP-35Bs are necessary and sufficient for CAD metabolism, and that CYP-35B2 D311 is key in mediating electrostatic interactions with the positively charged CADs. We also show that CAD metabolites are effluxed via PGP-13 acting partially redundantly with PGP-14 and that an intact defense system is necessary to resist CAD-induced pathology. Finally, we demonstrate that bacteria that likely cohabitate with C. elegans in nature trigger the CAD defense system, providing a plausible explanation for why a pathway that protects against anthropogenic small molecules exists in nematodes.

pharmacology and toxicology↗

bioRxiv2025

High-stability, clamp-free soluble Sarbecovirus spike trimers and their potential for pan-Sarbecovirus vaccine development.

Broadly effective vaccines are needed to protect against future pandemics caused by severe acute respiratory syndrome coronavirus (SARS CoV)-like coronaviruses (sarbecoviruses). The development of simple trimeric subunit vaccines based on the Sarbecovirus spike (S) has proven problematic due to the unstable nature of the S trimer. Here we developed clamp-free, highly stable soluble S trimers by truncating the stem helix to maximize yield and covalently linking the 3 monomers via engineered disulfides to increase thermostability. In K18hACE2 mice, covalently linked SARS CoV-2 S trimers elicited >10-fold higher neutralizing antibody (NAb) titres than parental unlinked trimers and protected the mice against viral challenge. A trivalent vaccine formulation comprised of covalently stabilized spikes derived from 3 divergent ACE2-using Sarbecovirus clades elicited broad and potent neutralizing activity in mice. The covalently linked S trimers were stable at 37{degrees}C for 112 days and remained intact following lyophilization and storage at ambient temperature for 6 months. This study establishes a framework for producing simple and stable highly immunogenic pan-Sarbecovirus S subunit vaccines that can be stored and distributed in the absence of a cold chain.

microbiology↗

bioRxiv2025

Poly(ADP-ribose) Polymerase 1 Deficiency Attenuates Amyloid Pathology, Neurodegeneration, and Cognitive Decline in a Familial Alzheimer Disease Model

Poly(ADP-ribose) (PAR) polymerase-1 (PARP1) has been implicated in DNA damage responses and neuroinflammation in Alzheimers disease (AD), yet its role in amyloid-{beta} (A{beta}) pathology remains unclear. Here, we show that PARP1 activation drives A{beta} pathology and neurodegeneration. Using a sensitive ELISA, we observed significantly elevated PAR levels in the cerebrospinal fluid (CSF) of patients with mild cognitive impairment (MCI) and AD compared to controls. In vitro, oligomeric A{beta}1-42 activated PARP1 and induced DNA damage, while genetic or pharmacological inhibition of PARP1 conferred neuroprotection. In vivo, PARP1 knockout in the 5XFAD mouse model of amyloidosis led to reduced amyloid plaque burden, preserved synaptic and neuronal integrity, attenuated glial activation and neuroinflammation, and rescued cognitive deficits. Mechanistically, PARP1 deficiency decreased amyloid precursor protein (APP) and BACE1 levels, altered {gamma}-secretase complex composition, and enhanced A{beta} degradation via neprilysin. These findings position PARP1 as a critical mediator of A{beta} toxicity and neurodegeneration, suggesting its inhibition as a promising therapeutic strategy for AD. Significance StatementOur study identifies poly(ADP-ribose) (PAR) as an elevated biomarker in the cerebrospinal fluid of patients with mild cognitive impairment and Alzheimers disease, correlating with established markers of amyloid pathology. We demonstrate that PARP1, the enzyme responsible for PAR synthesis, is activated by neurotoxic A{beta}1-42 and mediates neuronal death, amyloid plaque formation, neuroinflammation, and cognitive deficits in a mouse model of AD. Importantly, genetic ablation of PARP1 not only protects neurons from A{beta} toxicity but also reduces amyloid burden by suppressing A{beta} production and enhancing its degradation. These findings highlight PARP1 as a critical regulator of amyloid pathology and neurodegeneration, and suggest that PARP1 inhibition may offer a promising therapeutic avenue for Alzheimers disease by simultaneously targeting multiple pathogenic mechanisms.

neuroscience↗

bioRxiv2025

ARP2/3 complex mediates the neuropathology of PTEN-deficient human neural cells downstream of mTORC1 and mTORC2 hyperactivation

Mutations in the phosphatase and tensin homolog (PTEN) gene are linked to severe neurodevelopmental disorders. Loss of PTEN causes hyperactivation of both mechanistic target of rapamycin (mTOR) complexes, mTORC1 and mTORC2. Recent studies have shown that this dual hyperactivation is required for the neuropathology observed in PTEN-deficient human stem cell-derived neural cells. However, the molecular effectors that integrate these synergistic signals remain unknown. Here, we identify the actin-regulating ARP2/3 complex as a critical point of convergence downstream of mTORC1 and mTORC2. We show that concurrent hyperactivation of both complexes drives increased filamentous actin and elevated levels of the ARP2/3 complex subunits in PTEN-deficient human neural precursors and neurons. Pharmacological or genetic inhibition of ARP2/3 is sufficient to rescue multiple disease-relevant phenotypes, including neural precursor hyperproliferation, neuronal hypertrophy, and electrical hyperactivity, without affecting the upstream mTORC1 or mTORC2 hyperactivation. Together, these findings reveal the PTEN-mTOR-ARP2/3 signaling axis as a core mechanism of neuropathology and highlight ARP2/3 inhibition as a potential therapeutic strategy for PTEN-related neurodevelopmental disorders.

neuroscience↗

bioRxiv2025

Platelets drive immune suppression and glioblastoma growth in a sex-dependent manner via PAR4 signaling

Sex differences in cancer outcome, including that of glioblastoma (GBM), are shaped by biological, hormonal, and immunological factors and impact disease progression, treatment responses, survival, and tumor microenvironment (TME) interactions. Platelets regulate the immune responses and tumor progression in many cancers, but it is not clear how they contribute to these sex-based differences by affecting the dynamics of the TME. Here, we show that GBM patients exhibit heightened platelet reactivity driven by PAR4 signaling. In murine GBM models, both pharmacological inhibition of PAR4 using BMS986120 and genetic deletion of PAR4 significantly prolong survival in females but not males. This survival advantage is estrogen dependent: it is preserved in chromosomal male-hormonal female mice within the four-core genotype model and is rescued in ovariectomized mice treated with estrogen. The survival benefit is TME specific and is mediated by platelet-driven enhancement of CD8 T cell infiltration into the tumor. Inhibition of platelet PAR4 signaling increases calcium signaling through an estrogen-dependent interaction between PAR4 and estrogen receptor {beta} (ER{beta})--a receptor interaction not previously described. PAR4-activated platelets within the TME suppress CD8 T cell function, and depletion of CD8 T cells abolishes both the tumor-induced platelet reactivity and the survival benefit conferred by PAR4 inhibition. These findings establish platelet-mediated PAR4 signaling as a critical driver of tumor progression and identify sex-specific immune responses as key to therapeutic efficacy.

cancer biology↗

bioRxiv2025

A sensitive orange fluorescent calcium ion indicator for imaging neural activity

Genetically encoded calcium indicators (GECIs) are vital tools for fluorescence-based visualization of neuronal activity with high spatial and temporal resolution. However, current highest-performance GECIs are predominantly green or red fluorescent, limiting multiplexing options and efficient excitation with fixed-wavelength femtosecond lasers operating at 1030 nm. Here, we introduce OCaMP (also known as O-GECO2), an orange fluorescent GECI engineered from O-GECO1 through targeted substitutions to improve calcium affinity while retaining the favorable photophysical properties of mOrange2. OCaMP exhibits improved two-photon cross-section, responsiveness, photostability, and calcium affinity relative to O-GECO1. In cultured neurons, zebrafish, and mouse cortex, OCaMP outperforms the red GECIs jRCaMP1a and jRGECO1a in sensitivity, kinetics, and signal-to-noise ratio. These properties establish OCaMP as a robust tool for high-fidelity neural imaging optimized for 1030 nm excitation and a compromise-free option within the spectral gap between existing green and red GECIs.

neuroscience↗

bioRxiv2025

Replication of SARS-CoV-2 Omicron lineages is defined by TMPRSS2 use in environments where ACE2 is complexed with solute carriers SLC6A19 and SLC6A20.

The Omicron variant of SARS-CoV-2 emerged in late 2021 and since then Omicron subvariants have continued to evolve and dominate globally. The viral S protein evolved towards highly efficient antibody evasion and replicative capacity in the upper respiratory tract resulting in high transmissibility. At the same time, the mutations acquired in the S protein diminish infection of the lung epithelium and pathogenic potential. The changing entry requirements for Omicron sub-lineages that lead to this shift in tropism remain poorly understood. We resolve the changing replication requirements of SARS-CoV-2 to be related to two distinct pools of ACE2. The first pool relates to ACE2s role in the renin angiotensin system (RAS) and this pool can complex with TMPRSS2 (RAS-ACE2). The second pool relates to ACE2s role as a protein solute carrier chaperone than cannot complex with TMPRSS2 (Chaperone ACE2). Here, we demonstrate that pre-Omicron lineages replicate in a TMPRSS2 dependent manner across both ACE2 pools, whilst Omicron lineages can only spread and replicate using chaperone ACE2. This provides a mechanistic basis for the evolving infectivity requirements of SARS-CoV-2 and furthermore provides approaches to track and monitor ACE2 utilizing coronaviruses. Graphical AbstractMechanistic basis for shift in SARS-CoV-2 tropism with the arrival of Omicron. A. Chaperone ACE2 is defined structurally as a heterodimer of dimers with a solute carrier protein-SLC6A19 or SLC6A20. Here this ACE2 structure can exist uncomplexed from TMPRSS2 and enables TMPRSS2 use by both pre-Omicron and Omicron lineages. B. Renin Angiotensin ACE2 is defined by ACE2 with an exposed collectrin-like domain (CLD), which enables binding of TMPRSS2 or ADAM-17. Here ACE2 can form a complex with TMPRSS2 in a manner that allows pre-Omicron but not Omicron lineages to utilize TMPRSS2 to facilitate infection. Here Omicron lineages are heavily attenuated as they cannot use TMPRSS2 to spread. C. to E. Based on single cell profiles, ACE2 can exist as a chaperone with SLC6A20 in C. the Nasal Cavity or D. primarily as RAS-ACE2 in the lung to respond to acute lung injury. E. The largest pool of ACE2 in our body resides within the small intestine on enterocytes and this further facilitates replication in this tissue by pre-Omicron and Omicron lineages. O_FIG O_LINKSMALLFIG WIDTH=198 HEIGHT=200 SRC="FIGDIR/small/663433v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@172aa47org.highwire.dtl.DTLVardef@109285eorg.highwire.dtl.DTLVardef@394f8corg.highwire.dtl.DTLVardef@958e31_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2025

LCK-targeting molecular glues overcome resistance to inhibitor-based therapy in T-cell acute lymphoblastic leukemia

Drug resistance is a major challenge in cancer therapy, especially in the context of kinase inhibitors. While targeted protein degradation (TPD) was a distinct mode of action compared to inhibition-based therapeutic targeting, the potential value of TPD in drug-resistant cancer remains unclear. Here, we report the discovery of cereblon-recruiting molecular glue degraders (MGDs) targeting LCK, an oncogenic kinase in T-cell acute lymphoblastic leukemia (T-ALL). By high-throughput screening and medicinal chemistry optimization, we developed a series of MGDs that induced CRBN-dependent degradation of LCK as well as potent cytotoxicity in T-ALL in vitro. Structure-activity relationship analysis and ternary complex modeling revealed a non-canonical degron at the LCK-CRBN interface involving the G-loop, whose mutation disrupts this interaction. Unlike inhibitors and inhibitor-based PROTACs, these MGDs engage LCK in regions distal to the ATP binding site and thus their activities in T-ALL are not affected by gate-keeper LCK mutations that drive resistance to inhibitor-based therapeutics. Taken together, our data underscore the potential of LCK-targeting MGDs as a strategy to overcome kinase inhibitor resistance in T-ALL, highlighting a potentially generalizable strategy in cancer therapy.

cancer biology↗

bioRxiv2025

Single cell functional immunogenomics of the fallopian tube reveals a precursor immune surveillance network for ovarian cancer prevention

The fallopian tube (FT) is increasingly recognized as the site of origin for high-grade serous ovarian cancer (HGSOC), yet its immune landscape and potential role in tumor surveillance remain poorly understood. Here, we employ single-cell RNA sequencing (scRNA-seq) and paired single-cell T-cell receptor sequencing (scTCR-seq) to profile tissue-resident memory-like T cells (TRMLs) from matched non- cancerous FT, metastatic omental tumors, and peripheral blood in HGSOC patients. Surprisingly, we identify a substantial clonal and functional overlap between TRMLs from non-cancerous FT and tumor- infiltrating TRMLs, with 18.4% of tumor TRML clonotypes being shared with FT TRMLs, significantly exceeding overlap with circulating T cells. Shared TCR clonotypes are preferentially enriched in exhausted CD8+ T cells (CD8-Tex) and proliferative exhausted CD8+ subsets, suggesting prior antigenic exposure. Notably, we identify a previously uncharacterized CD8+ SIK3-high subset enriched in tumors, with gene expression signatures implicating epigenetic plasticity and metabolic adaptation. Functionally, non-cancerous FT-derived TRMLs recognize autologous tumor antigens, as evidenced by robust IFN-{gamma} responses in tumor organoid co-culture assays and CD137 upregulation. Whole-genome and transcriptomic analyses reveal shared somatic mutations between the FT and tumor, supporting the FT as the tumors evolutionary origin. Predicted tumor neoantigens elicit TRML responses in the non-cancerous FT, and single-cell TCR profiling confirms that neoantigen-reactive T cells in FT share clonotypes with tumor-infiltrating TRMLs, further reinforcing their role in early immune surveillance. Importantly, FT-derived TRMLs exhibit lower exhaustion signatures than their tumor counterparts, suggesting their potential as a preferable source for adoptive T cell therapies. Our findings uncover a precursor immune surveillance network in the FT and provide a rationale for leveraging FT-resident T cells in cancer immunotherapy and prevention.

immunology↗

bioRxiv2025

Glutamate indicators with increased sensitivity and tailored deactivation rates

Identifying the input-output operations of neurons requires measurements of synaptic transmission simultaneously at many of a neurons thousands of inputs in the intact brain. To facilitate this goal, we engineered and screened 3365 variants of the fluorescent protein glutamate indicator iGluSnFR3 in neuron culture, and selected variants in the mouse visual cortex. Two variants have high sensitivity, fast activation (< 2 ms) and deactivation times tailored for recording large populations of synapses (iGluSnFR4s, 153 ms) or rapid dynamics (iGluSnFR4f, 26 ms). By imaging action-potential evoked signals on axons and visually-evoked signals on dendritic spines, we show that iGluSnFR4s/4f primarily detect local synaptic glutamate with single-vesicle sensitivity. The indicators detect a wide range of naturalistic synaptic transmission, including in the vibrissal cortex layer 4 and in hippocampal CA1 dendrites. iGluSnFR4 increases the sensitivity and scale (4s) or speed (4f) of tracking information flow in neural networks in vivo.

neuroscience↗

bioRxiv2025

Epigenetic Control of TERRA by FTSJ3 is Critical for Telomerase-Driven Cancers

Telomerase reverse transcriptase (hTERT) overexpression, a hallmark of most cancers, drives tumorigenesis by enabling limitless replicative potential. Direct targeting of hTERT is challenging, necessitating alternative strategies. Through genome-wide synthetic dosage lethality (SDL) screening in cancer models, including patient-derived organoids, we identify FTSJ3, an RNA 2-O-methyltransferase, as a critical vulnerability in hTERT-overexpressing cells. FTSJ3 methylates telomeric repeat-containing RNA (TERRA), a modification essential for recruiting SUV39H1 to telomeric ends to mediate H3K9 trimethylation and establish stable heterochromatin. Loss of FTSJ3 disrupts this cascade, impairing H3K9 trimethylation, HP1-alpha recruitment, and telomeric heterochromatin maintenance. Notably, this reveals an unexpected dependency on TERRA methylation for telomeric heterochromatin stability in hTERT-driven cancers. Non-malignant cells, lacking telomerase activity and de novo telomere repeat synthesis, are unaffected by FTSJ3 suppression. Our findings establish the FTSJ3/TERRA/SUV39H1 axis as a critical mechanism supporting telomeric heterochromatin stability in hTERT-driven cancers. This telomere-directed epigenetic strategy provides a robust framework for translational therapeutic innovation.

cancer biology↗

bioRxiv2024

Grid to Place Cell Connectivity in Eleven Different Rooms

Abstract. The goal of this work was to uncover the minimum number of grid cells that can re-create the firing patterns of place cells in eleven different enclosures. This is useful for understanding firing patterns of place cells to design a very compact neurally-inspired spatial navigation system in hardware. For the project, we took place cell firing data from the Moser lab. Of the 342 place cells recorded, we selected one of the place cells firing in a single enclosure, one in six and one in all eleven enclosures. In MATLAB, we created grid cell firing patterns for 11250 grid cells. Connection weights between the place and grid cells were learned using machine learning- gradient descent algorithm. In all three cases, the place fields could be learned from at least 36 grid cells with three spatial firing frequencies, 2 directions for each frequency and 6 different phases for each direction. Including fewer phases reduced precision in deciphering the place. Weights learned were normally distributed with a wider spread and multimodal distribution for rooms with uneven, larger or multiple firing fields and narrower distribution otherwise. In rooms with no firing, all the weights varied a little around zero.

neuroscience↗