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Rao, A.

Publications and source records attributed to Rao, A..

At least 37 records · Page 2Linked to original sources

ABCC1 protects skin dendritic cells from FITC-induced toxicity by efflux and extracellular glutathione buffering

Dendritic cell (DC) migration is critical for initiating adaptive immune responses. Previous work suggested a role for ATP-binding cassette transporter C1 (ABCC1) in skin DC migration following cutaneous fluorescein isothiocyanate (FITC) exposure, but the precise mechanism involved was unclear. Here we establish that the primary contribution of ABCC1 to skin DC function following FITC exposure is not modulation of migration, but enhancement of survival. Our findings demonstrate that ABCC1 operates on a dual level: intracellularly, by transporting toxic FITC and fluorescein out of DCs, and extracellularly, by contributing to a glutathione (GSH) buffer zone that protects surrounding cells. DCs are particularly susceptible to FITC-mediated toxicity, possibly due to their high endocytic activity. This study elucidates the critical dependence of DCs on ABCC1 and extracellular GSH for resistance to toxic organic molecules and thereby identifies potential therapeutic avenues targeting ABCC1 to modulate immune responses. Significance StatementAdaptive immunity is critically dependent on dendritic cells (DCs) and their ability to take up foreign molecules for processing and presentation to T cells. DCs in the skin are exposed to a diversity of environmental chemicals and whether they have mechanisms to protect themselves from chemical-induced toxicity has been unclear. In this work we investigate the role of the multi-drug resistance transporter ABCC1 (MRP1) in DC biology. We reveal that ABCC1 shields DCs from chemical poisoning following skin exposure to fluorescein isothiocyanate (FITC). ABCC1 is needed both cell intrinsically and cell extrinsically to achieve the full protective effect. This discovery underscores a previously unrecognized reliance of DCs on ABCC1 function and opens new opportunities for therapeutic manipulation of these cells.

immunology↗

TET2-dependent differential 5hmC deposition balances adult neural stem cell activation and differentiation

Ten-eleven translocation (TET) enzymes are key regulators of active DNA demethylation, converting 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC) and thereby shaping the epigenetic landscape and cellular identity. While their roles have been characterized in pluripotent and some multipotent stem cells, their function in adult neural stem cells (NSCs) of the subventricular zone (SVZ) remains poorly understood. Here, we show that TET2 is critical for the maintenance and differentiation of adult NSCs, orchestrating locus-specific 5hmC deposition across promoters, gene bodies, and enhancers. Importantly, 5hmC remodeling segregates into two functionally distinct programs: promoter-associated gains of 5hmC are strongly TET2-dependent and drive transcription of genes controlling neural differentiation and calcium signaling, whereas gene body- and enhancer-associated 5hmC gains partially depend on TET2 and sustain proliferative and metabolic pathways, thereby maintaining stemness. Loss of TET2 disrupts these 5hmC programs, downregulates key differentiation- and calcium-related genes, and impairs the normal differentiation-associated increase in intracellular calcium, revealing a functional consequence of altered epigenetic regulation. Together, our findings uncover a pivotal role for TET2 in coordinating complementary epigenetic and transcriptional programs that balance stemness and differentiation in adult NSCs.

neuroscience↗

Longitudinal Analysis of Matched Patient Biospecimens Reveals Neural Reprogramming of Cancer-Associated Fibroblasts Following Chemotherapy in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC), the most common subtype of pancreatic cancer, is a deadly disease with a complex tumor microenvironment (TME). How chemotherapy alters the TME, and whether these changes drive chemoresistance, is poorly understood. We examined matched pre- and post-treatment tissue specimens and found near-universal enrichment of axonal guidance genes in cancer-associated fibroblasts (CAFs) after treatment. These CAFs were enriched near sites of perineural invasion, coinciding with regions of increased tumor cell proliferation, and were enriched in tumor areas distant from nerves after chemotherapy. Metastatic recurrence lesions had the highest prevalence of these CAFs versus primary tumors and untreated metastasis. These CAFs showed elevated non-canonical Wnt mediators and axonal guidance genes, which complemented matching cognate binding partners in tumor epithelial cells, suggesting a role in tumor-stroma crosstalk. Our findings implicate fibroblast-derived axonal-guidance genes in promoting PDAC invasion and point to a promising target for this disease. Statement of SignificanceTherapeutic resistance remains a major challenge in pancreatic cancer. Our findings shed light on the changes in the complex tumor microenvironment in response to chemotherapy and identify fibroblasts high in axonal-guidance genes that may drive tumor progression and chemoresistance, thus uncovering a potential avenue for targeting pancreatic cancer.

cancer biology↗

Genomic characterization of type I-E* CRISPR-Cas systems in Klebsiella pneumoniae: association of spacer diversity and antimicrobial resistance

BackgroundKlebsiella pneumoniae, known to acquire antimicrobial resistance genes (ARGs) through horizontal gene transfer, possess type I CRISPR-Cas systems. This study investigated the association of multidrug resistance (MDR) and CRISPR-Cas in septicemic K. pneumoniae, along with comparative analysis of CRISPR-positive global K. pneumoniae. MethodsArchived K. pneumoniae from septicemic neonates (2008-2020) were assessed for CRISPR-Cas system, cas gene expression and correlation with ARG carriage. Whole-genome sequencing was performed and diversity of spacers, protospacers adjacent motifs (PAMs), targeted plasmids, were evaluated. Comparative analyses were performed for CRISPR-positive global K. pneumoniae. ResultsTwenty-five percent of study K. pneumoniae possessed complete type I-E* CRISPR-Cas comparable to 22% of global K. pneumoniae, which were distributed equally to type I-E & I-E*. CRISPR-positive study strains (83%) were MDR, and exhibited no significant association of CRISPR-Cas with MDR phenotype. Spacers noted in non-MDRs were diverse, showed increased average count and identified more diverse PAMs compared to spacers from MDR strains. Plasmids harboring ARGs such as blaNDM, blaCTX-M, qnrS1, mcr-8, etc. were frequently targeted by spacers from non-MDRs. Presence of CRISPR-Cas system in epidemic MDR clones such as ST14/15/23 in I-E* (local, global) and ST147 in I-E (global), indicated a lineage-specific association with CRISPR-Cas subtypes. ConclusionThis study demonstrated the co-existence of CRISPR-Cas systems within both MDR and non-MDR K. pneumoniae, with no significant correlation with either group. However, presence of diverse spacers in non-MDR strains that identified more PAMs and targeted ARG-bearing plasmid implied role of CRISPR-Cas system in limiting ARG acquisition.

genomics↗

Crosstalk between the Methyl-Cytosine Dioxygenase TET3 and the Methyl-CpG-binding protein MECP2 Controls Neuronal Maturation

Active DNA demethylation depends on Ten-Eleven-Translocation (TET) enzymes, which oxidize 5-methylcytosine (mC) to 5-hydroxymethylcytosine (hmC) and further derivatives. Mutations in TET3, encoding the predominant neuronal isoform, lead to Beck-Fahrner syndrome, a neurodevelopmental disorder. Using human iPSC-derived neurons, we show that TET3 is dispensable for neuronal specification but critical for subsequent maturation. Differentiating TET3-deficient neurons exhibit delayed transcriptional and proteomic transitions, altered synaptic signatures, and impaired network activity, indicating delayed functional maturation. Mechanistically, we identified an interaction between TET3 and the mC/hmC-binding protein MECP2, pathogenic variants of which cause Rett syndrome. MECP2 negatively regulates TET3 activity, as demonstrated in functional assays and by inverse hmC patterns in MECP2- and TET3-deficient neurons. Despite this, MECP2- and TET3-deficient neurons exhibit highly similar phenotypes later in differentiation. Our findings uncover a functional interplay between TET3 and MECP2 that coordinates DNA methylation and chromatin dynamics during neuronal maturation, suggesting a shared pathogenic mechanism in Beck-Fahrner and Rett syndromes.

neuroscience↗

Spatial transcriptomics of glioblastoma defines biologically and clinically significant reprogramming patterns across unique spatial microenvironments

Intratumoral heterogeneity is thought to hinder targeted therapy in glioblastoma (GBM), but the extent of variation in known targets and tumor cell-intrinsic and extrinsic regulatory mechanisms within tissue remains unclear. In this work, we use Visium spatial transcriptomics to profile 44 tumor slides and 128,176 niche-annotated ST spots, including 14 new slides from 7 GBM specimens, along with spatial annotation from the Ivy Glioblastoma Atlas Project. First, we characterize the differential expression of AVB3, EGFR, VEGF, and PDGFRA pathway activities across space, elucidating the limited success of individual targeted therapies. Second, we identify transcription factor modules driving intratumoral heterogeneity and characterize a novel transcription factor module at the interface between core tumor and the invasive edge. Third, we identify cell type-specific receptor-ligand signaling enriched in specific spatial niches and relate these to specific molecular program alterations. Finally, we identify and characterize transcriptional pathways and their activity across spatial niches through transcription network analysis and demonstrate how these pathways can inform a combined therapeutic approach. Together, through novel insights into the spatial patterning of transcription factor regulation, cellular interactions, and biological pathway activity, our work informs rational combination therapies targeting spatial niche specific vulnerabilities.

bioinformatics↗

Clinical cure of chronic hepatitis B is dependent on activation and perpetuation of robust CD4+ T cell responses

Chronic infection with hepatitis B virus (HBV), a major global pathogen, often leads to immune-mediated progressive liver injury and liver cancer. While seroclearance of the surface antigen (HBsAg) defines clinical cure and reduces disease-associated risks, HBsAg clearance is rarely observed and remains therapeutically elusive. Here we overcome some of the challenges to studying immune mechanisms of HBsAg clearance in chronic hepatitis B (CHB) using our mouse model of age-dependent HBsAg clearance and persistence, and samples from our BeNEG-DO clinical trial that provided longitudinal PBMCs from patients who either cleared HBsAg or retained stable HBsAg levels after stopping nucleos(t)ide analog therapy. We show that young mice fail to clear HBsAg and have impaired ability to efficiently initiate and sustain HBV-specific CD4+ T cell responses. We also demonstrate a role for CD4+ T cells in hepatic leukocyte organization and cytotoxicity, and in HBV-specific CD8+ T cell cytotoxicity and HBsAg clearance. Upstream of the CD4+ T cell response, we reveal that hepatic dendritic cells, particularly cDC2s, direct effective CD4+ T cell activation and differentiation. Studies in CHB patients identified immune features of HBsAg clearance that overlap with the mouse model, including TH1 and cytotoxic CD4+ T cell activation and CD8+ T cell cytotoxic effector function. These findings identify an essential role for potent CD4+ T cell activation in the clinical cure of CHB and illuminate potential immunotherapeutic targets for enhancing CD4+ T cell responses to achieve greater HBsAg clearance rates. One Sentence SummaryUsing a mouse model of hepatitis B and longitudinal PBMCs from patients with chronic hepatitis B, we identify shared mechanisms of HBsAg seroclearance.

immunology↗

Surfaceome CRISPR activation screening uncovers ligands regulating tumor sensitivity to NK cell killing

Natural killer (NK) cell-based immunotherapies represent a promising avenue for cancer treatment due to their ability to eliminate cancer cells independently of antigen presentation and potential for "off-the-shelf" use. However, the molecular determinants governing tumor cell susceptibility to NK cell-mediated cytotoxicity remain incompletely understood. Here we employed CRISPR activation (CRISPRa) screening to systematically identify cancer cell surface regulators of NK cell killing across multiple cancer types. Using a comprehensive surfaceome-focused library, we screened human and murine cancer cell lines co-cultured with NK cells, identifying both known and novel ligands that modulate NK cell cytotoxicity. Our screens revealed established factors including CD43 (encoded by SPN), while uncovering previously uncharacterized regulators such as CD44, PDPN, and Siglec-1/CD169. Validation through complementary cDNA overexpression and genetic knockout approaches confirmed that disruption of CD43, CD44, PDPN, and Siglec-1 significantly altered cancer cell susceptibility to NK killing both in vitro and in humanized mouse models. Analysis of clinical datasets show that expression of identified factors correlates with patient survival outcomes in an NK-context dependent manner supporting their therapeutic relevance. Most notably, our mechanistic studies demonstrate that CD43-mediated NK cell resistance operates independently of its previously proposed interaction with Siglec-7 on NK cells. Furthermore, we find that targeting CD43 on either NK cells or engineered T cells substantially enhances their cytotoxic activity against leukemia cell lines. These results establish gain-of-function screening as a powerful approach for discovering immunoregulatory surface proteins and identify multiple promising targets for enhancing NK cell-based cancer immunotherapies.

immunology↗

Loss of TET function in T regulatory cells yields ex-Treg cells biased toward T follicular helper cells, causingautoimmune diseases through autoantibody production

T regulatory cells (Treg cells) express the transcription factor FOXP3 and maintain immune homeostasis by attenuating effector responses. Treg cells are prone to lose FOXP3 and convert to pathological ex-Treg cells under conditions of strong or chronic inflammation. One mechanism for loss of FOXP3 expression involves increased DNA methylation of intronic enhancers CNS1 and CNS2 in the Foxp3 locus; these enhancers are maintained in a demethylated state by TET enzymes, 5-methylcytosine (5mC) dioxygenases that generate 5-hydroxymethylcytosine (5hmC) and other oxidized methylcytosines that are essential intermediates in all pathways of DNA demethylation. We previously showed that FOXP3+ Treg cells from Tet2/3-deficient (Tet2/3 DKO) mice displayed increased methylation of CNS1 and CNS2 and converted to FOXP3-negative ex-Treg cells considerably more efficiently than WT Treg cells. Here we extend our previous analysis of Foxp3-Cre Tet2/3fl/fl mice. We classified the mice as DKO- moderate or DKO-severe based on the total number of leukocytes in the spleen and peripheral lymph nodes and investigated the phenotypic and molecular basis for the progressive inflammation occurring in these mice. RNA-seq as well as histological and immunocytochemical analyses showed a striking expansion of T follicular helper (Tfh) cells and plasma cells in Tet2/3 DKO-severe mice. RNA-seq analyses also revealed increased induction of interferon-stimulated genes (ISGs) in CD4+ FOXP3- T cells from these mice, and single-cell (sc) RNA-seq analyses suggested strongly that this was due to skewed differentiation of both Tet2/3 DKO FOXP3+ Treg cells and Tet2/3 DKO FOXP3- ex-Treg cells into Tfh-like cells. Base-resolution "6-base" sequencing showed the expected loss of 5hmC and increased 5mC in Tfh cells purified from Tet2/3 DKO-severe mice, and suggested that the observed bias in gene expression patterns could arise both from a direct increase in methylation of essential enhancers stemming from TET deficiency, or because methylation interfered with binding of methylation-sensitive transcriptional regulators including CTCF.

immunology↗

SHADE: A Multilevel Bayesian Approach to Modeling Directional Spatial Associations in Tissues

MotivationSpatial dependencies in tissue microenvironments, particularly asymmetric interactions between cell types, are central to understanding immune dynamics, tumor behavior, and tissue organization. Existing spatial statistical methods often assume symmetric associations or analyze images independently, limiting biological interpretability and inference quality. ResultsWe introduce SHADE (Spatial Hierarchical Asymmetry via Directional Estimation), a Bayesian hierarchical framework that models asymmetric spatial associations and multilevel structure in multiplexed imaging data. SHADE captures directional relationships via smooth spatial interaction curves (SICs), provides interpretable distance-resolved summaries of cell-cell interactions, and supports multiscale inference across tissue sections, patients, and cohorts. Simulation studies demonstrate improved inference quality and robustness, and application to colorectal cancer imaging data reveals biologically meaningful differences in immune and stromal organization. Availability and ImplementationSource code and analysis scripts are freely available at http://github.com/jeliason/SHADE and http://github.com/jeliason/shade_paper_code, implemented in R and Stan.

bioinformatics↗

The interferon response signature links to increased expression of transposable elements in neutrophils of systemic lupus erythematosus patients

BackgroundSystemic lupus erythematosus (SLE) is a spontaneous systemic auto-immune condition for which the inciting factors and genetic basis are generally unknown. Although heterogeneous in its manifestations and severity, SLE involves chronic inflammation along with sustained autoantibody production. The root causes and pathophysiology of the inflammation and breaches of tolerance are incompletely understood, but neutrophils are thought to be important elements of the pathophysiology. Type I interferons (IFN) in the bloodstream and an IFN-stimulated gene (ISG) signature in circulating leukocytes, including neutrophils, are common features in many patients. Earlier work has provided evidence of increased levels of transcripts derived from transposable elements (TEs) in peripheral blood cells of SLE patients. Using six leukocyte types, including neutrophils, we tested the correlation of TE expression with disease severity and explored the relationships between increased ISG and TE expression with attention to the genomic locations of the expressed TEs. ResultsWe reanalysed previously published data from neutrophils and other leukocytes of SLE patients sub-divided into ISG-high (termed IFNpos, n=12) and ISG-low (termed IFNneg, n=11) patients in the original study, examining RNA-seq data from B and T lymphocytes, conventional and plasmacytoid dendritic cells (DC), monocytes and PMN of IFNpos and IFNneg SLE patients compared to healthy controls. SLE patients pre-stratified as IFNneg showed no significant increase in TE expression. All IFNpos cell types had similar amounts of total TE-encoded RNA, but among the 6 cell types, PMN had the highest number of differentially expressed TEs and ISGs in IFNpos SLE patients compared to healthy controls. There was a strong correlation between expression of several specific TE families and disease activity assessed at the time of the visit. Most upregulated TEs ([~]80%) were present in introns of upregulated genes, and [~]67% of these were ISGs. By mapping expressed TEs in ISGs, we found that high intronic TE expression correlated strongly with increased ISG expression as well as with splicing alterations in annotated exons flanking expressed TEs. Consistent with autonomous TE expression, upregulated TEs were also observed at intergenic sites distant from annotated genes, perhaps due to weakening of heterochromatin integrity. ConclusionsOur findings show a strong association and suggest mechanistic relationships between increased TE expression and IFN responses in multiple types of leukocytes centrally involved in SLE pathogenesis. Although limited by short-read RNA-seq technology, our analyses support selective upregulation of some TEs independent from the regulation of conventional genes, concurrent with many intron-localized TEs whose expression tracks with ISGs. The data emphasize the need for long-reads sequencing to understand the causes and consequences of high TE expression in SLE and other autoimmune/inflammatory disorders. Important questions include whether TE expression in introns of ISGs and other genes is independently regulated or reflects exonization or partial intron retention, and how frequently it correlates with splicing variations in adjacent exons.

immunology↗

STING: A Graph Neural Network Approach for Computational Inference of Spatial Transcriptomic Profiles

Spatial transcriptomics enables the measurement of mRNA counts at spatial locations within a tissue but faces challenges such as high experimental costs, technical expertise requirements, and low RNA detection efficiency at high resolution. We present STING (Spatial Transcriptomics Inference using Graph neural networks), a computational approach that infers spatial gene expression patterns with high efficiency. STING integrates convolutional neural networks (CNNs) pre-trained on histological images with graph neural networks (GNNs) to model spatial proximity, representing tissue sections as nearest-neighbor graphs where spatially adjacent spots are interconnected. We train GNNs on these graphs to predict gene expression at additional tissue locations, including unseen samples. Evaluated on two public spatial transcriptomics datasets (59 and 36 tissues), STING achieves a Pearson correlation coefficient (PCC) of up to 0.79 for super-resolution and 0.69 for tissue-wide inference, outperforming existing methods in accuracy. Our results demonstrate that STING is an effective and computationally efficient tool for predicting spatial gene expression, with significant applications in cancer research, personalized medicine, and beyond.

bioinformatics↗

Substrate viscoelasticity regulates fibroblast adhesion and migration

Mechanical properties of the extracellular matrix (ECM) modulate cell-substrate interactions and influence cellular behaviors such as contractility, migrations, and proliferation. Although the effects of substrate stiffness on mechanobiology have been well studied, the role of ECM viscoelasticity in fibrotic progression remains less understood. To examine how viscoelasticity affects the biophysical properties and regulates the signaling of human mammary fibroblasts, we engineered elastic (E) and viscoelastic (VE) polyacrylamide hydrogels with comparable storage moduli ([~]14.52 {+/-} 1.03 kPa) but distinctly different loss moduli. Fibroblasts cultured on E hydrogels spread extensively (2428.93 {+/-} 864.71 m{superscript 2}), developed prominent stress fibers with higher zyxin intensity, and generated higher traction stresses (2931.57 {+/-} 1732.61 Pa). In contrast, fibroblasts on VE substrates formed smaller focal adhesion areas (54.2% reduction), exhibited lower critical adhesion strengths (51.8%), and generated 21% lower traction stresses (p < 0.001), indicating weaker adhesions. These substrates also promoted migrations and showed enhanced proliferation accompanied by reduced YAP activity, suggesting a mechanotransduction shift that may involve alternative signaling pathways. In contrast, E substrates showed YAP nuclear translocation, consistent with greater cytoskeletal tension and contractility. These findings highlight the importance of energy dissipation mechanisms in regulating fibroblast function on substrates mimicking the fibrotic milieu. Our results demonstrate that tuning the ECM viscoelasticity is a useful strategy to regulate cell behaviors in tissue engineered scaffolds, and develop better disease modeling for regenerative medicine.

bioengineering↗

Differential interfacial tension between oncogenic and wild-type populations forms the mechanical basis of tissue-specific oncogenesis in epithelia

Why does the same oncogenic mutation drive tumor formation in some tissues but not in others? While cancer driver mutations are well-documented, their tissue-specific effects remain largely attributed to genetic factors, leaving the biophysical aspects underexplored. Here, we demonstrate that mechanical interactions, specifically interfacial tension between newly transformed and wildtype epithelial cells are critical in determining survival and growth of HRasV12 oncogenic mutants in human mammary and bronchial epithelia, leading to contrasting outcomes in the two tissues. In mammary epithelium, isolated oncogenic cells are extruded-a typical mechanism of defense against cancer in epithelia-while oncogenic groups become spatially confined in a kinetically arrested, jammed state, marked by an actomyosin belt at the interface. In contrast, bronchial epithelium permits persistent spreading of the same oncogenic cells, which form long protrusions regardless of colony size. Furthermore, oncogenic clusters in these two tissues exhibit distinct biophysical properties, including variations in cell shapes, intracellular pressure, cell-cell tension, and cellular motility. Using a cell shape-tension coupled bi-disperse vertex model, we reveal that differences in interfacial tension at mutant-wild-type boundaries dictate whether oncogenic cells are eliminated, restrained, or expanded and that modulating the heterotypic interfacial tension alters mutant cell fate within the epithelium. Together, our findings uncover a mechanical basis for tissue-specific oncogenesis by highlighting how differential cellular mechanics at the oncogenic-host cell interface regulate tumor initiation and progression.

biophysics↗

Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy

Segmenting acute and hyper-acute brain lesions in neona-tal hypoxic-ischemic encephalopathy (HIE) from diffusion-weighted MRI (DWI) is critical for prognosis and treatment planning but remains challenging due to severe class imbalance and lesion variability. We propose a computationally efficient 2D segmentation framework leveraging ADC and ZADC maps as a three-channel input to UNet++ with an Inception-v4 encoder and scSE attention for enhanced spatial-channel recalibration. To address class critical imbalance and lack of volumetric context in 2D methods, we introduce a novel boundary-and-region-aware weighted loss integrating Tversky, Log-Hausdorff, and Focal losses. Our method surpasses state-of-the-art 2D approaches and achieves competitive performance against computationally intensive 3D architectures, securing a Dice Similarity Coefficient (DSC) of 0.6060, Mean Average Surface Distance (MASD) of 2.6484, and Normalized Surface Distance (NSD) of 0.7477. These results establish a new benchmark for neonatal HIE lesion segmentation, demonstrating superior detection of both acute and hyper-acute lesions while mitigating the challenge of loss collapse. The code is available at Neonatal-HIE-SPARSeg.

bioinformatics↗

CTCF directly binds G-quadruplex structures to regulate genome topology and gene expression

DNA G-quadruplexes (G4s) are non-B form secondary DNA structures that are highly conserved across evolution. G4 structures occupy key regulatory sites in the mammalian genomes and are implicated in several cellular processes. However, the mechanisms by which G4s contribute to distinct facets of genome function are not well understood. Here, we conduct a proteomics screen with G4s of diverse topologies to uncover novel G4 binding activities in genomic regulators of nucleosome remodeling, paraspeckle assembly, RNA splicing, and 3D genome organization. Among the most prominent hits, we identify the genomic architectural protein, CTCF, as one of the strongest G4 binders. Building on this discovery, we perform extensive biochemical validation of CTCF-G4 interaction and identify CTCF mutants, with pronounced affinity for G4s over its consensus DNA motif. By implementing well-established approaches and developing new G4 mapping tools, we define a comprehensive catalog of genomic G4s and investigate their association with CTCF binding. Using genetic reconstitution of mouse embryonic stem cells with a G4-specific CTCF mutant, we ascribe genomic functions to CTCF-G4 interactions in regulation of CTCF occupancy, chromatin looping and gene expression. Interestingly, our studies reveal a subset of G4-linked chromatin loop anchors that form "persistent loops" which are retained even upon CTCF depletion. Collectively, our work establishes the G4 binding activity of CTCF and provides new insights into the functional significance of G4 structures.

molecular biology↗

Data-driven discovery of cell-type-directed network-correcting combination therapy for Alzheimer's disease

Alzheimers disease (AD) is a multifactorial neurodegenerative disorder characterized by heterogeneous molecular changes across diverse cell types, posing significant challenges for treatment development. To address this, we introduced a cell-type-specific, multi-target drug discovery strategy grounded in human data and real-world evidence. This approach integrates single-cell transcriptomics, drug perturbation databases, and clinical records. Using this framework, letrozole and irinotecan were identified as a potential combination therapy, each targeting AD-related gene expression changes in neurons and glial cells, respectively. In an AD mouse model, this combination therapy significantly improved memory function and reduced AD-related pathologies compared to vehicle and single-drug treatments. Single-nuclei transcriptomic analysis confirmed that the therapy reversed disease-associated gene networks in a cell-type-specific manner. These results highlight the promise of cell-type-directed combination therapies in addressing multifactorial diseases like AD and lay the groundwork for precision medicine tailored to patient-specific transcriptomic and clinical profiles. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/627436v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@1e67fd5org.highwire.dtl.DTLVardef@1d2b779org.highwire.dtl.DTLVardef@10b6efforg.highwire.dtl.DTLVardef@1a44394_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗

Complement C3d enables protective immunity capable of distinguishing spontaneously transformed from non-transformed cells

Immune-surveillance depends in part on the recognition of peptide variants by T cell antigen receptors. Given that both normal B cells and malignant B cells accumulate mutations we chose a murine model of multiple myeloma to test conditions to induce cell-mediated immunity targeting malignant plasma cell (PC) clones but sparing of normal PCs. Revealing a novel function for intracellular C3d, we discovered that C3d engaged T cell responses against malignant plasma cells in the bone marrow of mice that had developed multiple myeloma spontaneously. Our results show that C3d internalized by cells augments immune surveillance by several mechanisms. In one, C3d induces a master transcription regulator, E2f1, to increase the expression of long non-coding (lnc) RNAs, to generate peptides for MHC-I presentation and increase MHC-I expression. In another, C3d increases expression of RNAs encoding ribosomal proteins linked to processing of defective ribosomal products (DRiPs) that arise from non-canonical translation and known to promote immunosurveillance. Cancer cells are uniquely susceptible to increased expression and presentation of mutant peptides given the extent of protein misfolding and accumulation of somatic mutations. Accordingly, although C3d can be internalized by any cell, C3d preferentially targets malignant clones by evoking specific T cell mediated immunity (CMI) and sparing most non-transformed polyclonal B cells and plasma cells with lower mutation loads. Malignant plasma cell deletion was blocked by cyclosporin or by CD8 depletion confirming that endogenous T cells mediated malignant clone clearance. Besides the potential for therapeutic application our results highlight how intracellular C3d modifies cellular metabolism to augment immune surveillance. One Sentence SummaryWe show that intracellular soluble fragment 3d of complement (C3d) induces regression of spontaneous multiple myeloma in mice reducing tumor burden by 10 fold, after 8 weeks. C3d enables cell-mediated immunity to target multiple myeloma clones sparing non-transformed polyclonal B cells and plasma cells with lower mutation loads. We show that C3d increases the expression of ribosomal subunits associated with the translation of defective ribosomal products (DRiPs). C3d also decreases expression of protein arginine methyl transferase (PRMT) 5 which in turn relieves E2f1 repression increasing the expression of Lnc RNAs and derived peptides that evoke anti-tumor cellular immunity. The approach increases MHC-I expression by tumor cells and generates a CMI response that overcomes tumor immune-evasion strategies. SignificanceTumors are immunogenic in part because of somatic mutations that originate novel peptides that once presented on MHC engage cell-mediated immunity (CMI). However, in spite of the higher mutation load most tumors evade immunity. We discovered that a component of the complement system (C3d) overcomes tumor immune evasion by augmenting expression of ribosomal proteins and lncRNAs linked to the presentation of novel peptides by tumor cells. C3d induced CMI targets cancer cells sparing non transformed cells uncovering a novel function for complement in immune surveillance.

immunology↗