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Sivakumar, N.

Publications and source records attributed to Sivakumar, N..

12 recordsLinked to original sources

Intravital single-cell behavior profiling reveals disrupted germinal center B cell motility and interactions by EZH2 gain-of-function mutation

Germinal center (GC) B-cells give rise to the majority of non-Hodgkin lymphomas, underscoring the need to pinpoint critical processes that initiate and drive lymphomagenesis. Lymphoma driver mutations can alter GC B cell functions and B cell fate decisions. Here, we studied how EZH2 oncogenic mutation in GC B cells alters cellular motility and interactions with T follicular helper (Tfh) cells and follicular dendritic cells (FDCs) to determine B cell fate. By combining intravital imaging, single-cell behavior analyses, and RNA sequencing, we uncover how lymphoma-associated EZH2 mutations reprogram the behaviors of GC B cells in vivo. We found that EZH2 mutations increased single-cell motility speeds and morphological plasticity of GC B cells, redirecting migration toward the FDC-rich light zone subregions rather than to the dark zone. Although mutant EZH2 GC B cells exhibited normal engagement quality with FDCs, they showed shorter interaction times and reduced surface engagement with Tfh cells. Notably, EZH2 mutant B cells required prior contact with FDC before engaging with Tfh cells, thus impairing DZ recycling. This motility phenotype scaled with local mutant clone abundance, suggesting a behavioral strategy underlying how mutant cells outcompete WT cells. Lastly, we developed scMOTIPh, a computational framework that integrates single-cell behavioral features with transcriptomic profiles. Applying scMOTIPh to mutant GC B cells within the FDC-rich zone revealed enhanced ATP production, metabolic and antigen-presentation programs, and suppression of cell-death pathways, which is consistent with a tendency for malignant transformation and survival fitness. These findings provide an in vivo, single-cell view of how an epigenetic lesion rewires the local microenvironment by modulating single-cell behaviors within native GCs, revealing a dynamic mechanism for early lymphomagenesis.

immunology↗

Comparative analyses of prolonged stress responses of breast carcinoma cells after hypofractionated irradiation in vitro and in vivo

The anticancer efficacy of radiotherapy (RT) is limited by acquired radioresistance (RR). Here, we aim to characterize prolonged responses of breast carcinoma cells to hypofractionated irradiation (hFI). To this end, murine mammary 4T1 tumor cells (4T1WT) were subjected to a clinically oriented hFI protocol (56 Gy cumulative dose) to select radioresistant cells in vitro (4T1RS). Furthermore, hFI of subcutaneously growing 4T1CTR tumors (hFI; 24 Gy cumulative dose) was performed to radioselected 4T1IR cells in vivo. Following single irradiation in vitro, radioselected 4T1RS cells revealed increased proliferation, attenuated G2/M arrest and reduced apoptosis as compared to parental 4T1WT cells. Moreover, 4T1RS cells showed increased expression of DNA-damage response (DDR)-related proteins (pKAP1, pCHK2, {gamma}H2AX) and improved DSB repair efficiency as demonstrated by nuclear {gamma}H2AX foci analyses. The mRNA expression of factors regulating cell cycle progression, DDR, apoptosis and oxidative stress was substantially different between both cell variants in vitro. Ten days after hFI of in vivo growing tumors, residual DNA damage and apoptosis were increased in the radioselected 4T1IR tumors, whereas proliferation was reduced as compared to non-irradiated 4T1CTR control tumors. Both irradiated and non-irradiated tumors revealed complex differences in the mRNA expression profile of susceptibility- and metastasis related genes, including GADD45a, DUSP1, CDKN1a and NQO1 as well as CD44 and Rho-related factors, respectively. Moreover, hFI stimulated the infiltration of MPO-positive immune cells into tumor tissue while the presence of CD3-positive cells was reduced in the tumor area. In addition, hFI in vivo resulted in a dysregulated mRNA expression of various immune cell markers, Rho-regulatory factors, tissue remodeling molecules and cell adhesion factors. Summarizing, we identified long-lasting adaptive changes following hFI in vitro and in vivo that are associated with DNA replication, DNA repair, senescence and apoptosis as well as immune cell infiltration and tissue remodeling.

cell biology↗

Cellular coding of ingestion in the caudal brainstem

The termination of a meal is triggered by sensory feedback from the stomach and intestines that reports on ingested food1-10 and is relayed to the caudal nucleus of the solitary tract (cNTS) in the brainstem11-14. This sensory feedback is thought to gradually intensify as a meal progresses, resulting in the progressive activation of cNTS circuits that promote satiety15,16, but this idea has never been tested by recording the single-cell activity of cNTS neurons while animals eat. Here, we have used a preparation for calcium imaging in the caudal brainstem of behaving animals17 to characterize how food ingestion is encoded in the cNTS. We find that when food is delivered directly to the stomach, most cNTS neurons exhibit ramping activation over many minutes that tracks cumulative food consumed and depends on canonical gut-brain pathways. However, when the same food is consumed by mouth, this widespread ramping activation is gone, and most cNTS neurons instead exhibit phasic, seconds-timescale responses to oral contact with food. We show that these rapid responses are driven by a combination of mechanical, gustatory and nutritive signals from the mouth and throat and do not require traditional gut-brain pathways, including gut-innervating vagal afferents, although GI feedback modulates their duration. We show that one source of this rapid input is descending projections from the paraventricular hypothalamus, which track ingestion dynamics and are required for proper meal termination. These findings reveal that sensory feedback from the stomach and intestines, which is directly transmitted to the cNTS and thought to be critical for satiety, is not the major driver of cNTS activity during ingestion. Instead, these circuits make extensive use of rapid, pregastric signals that report on the dynamics of behavior.

neuroscience↗

Data-driven simulations elucidate how lymphocyte motility behaviors drive cell-cell interactions within germinal centers

Lymphocytes rely on cell motility to surveil immune microenvironments and engage in contact-mediated interactions with other cells as part of the adaptive immune response. Within the germinal center (GC) light zone, germinal center B-cells (GCBs) and T-follicular helper cells (Tfhs) engage in cell-cell interactions that enable antibody affinity maturation. The number and duration of GCB-Tfh interactions correlate with the success of the germinal center in effectively generating antibodies that can bind and neutralize antigens. Prior studies have shown that GCBs and Tfhs exploit distinct motility patterns to surveil the GC light zone and engage in these cell-cell interactions. However, the quantitative relationship between lymphocyte motility parameters (such as speed and tortuosity) and GCB-Tfh interactions has not been systematically explored. Here, we analyzed single-cell trajectories of GCBs and Tfhs from two-photon intravital microscopy videos of GCs within mouse popliteal lymph nodes. We found that these cells exhibit seven distinct motility behaviors, each with characteristic speeds and tortuosities. GCBs tended to move in slow and tortuous paths, while Tfhs adopted faster and more directed trajectories. We then developed a three-dimensional agent-based model (ABM) to simulate these experimentally-observed GCB and Tfh motility behaviors and predict their impact on GCB-Tfh interactions. Using the ABM, we found that the baseline motility behaviors of GCBs and Tfhs allow GCBs to maximize interactions with distinct Tfhs in a confined space.

systems biology↗

Synaptic imbalance and increased inhibition impair motor function in SMA

Movement is executed through the balanced action of excitatory and inhibitory neurotransmission in motor circuits of the spinal cord. Short-term perturbations in one of the two types of transmission are counteracted by homeostatic changes of the opposing type. Prolonged failure to balance excitatory and inhibitory drive results in dysfunction at the single neuron, as well as neuronal network levels. However, whether dysfunction in one or both types of neurotransmission leads to pathogenicity in neurodegenerative diseases characterized by select synaptic deficits is not known. Here, we used mouse genetics, functional assays, morphological methods, and viral-mediated approaches to uncover the pathogenic contribution of unbalanced excitation-inhibition neurotransmission in a mouse model of spinal muscular atrophy (SMA). We show that vulnerable motor circuits in the SMA spinal cord fail to respond homeostatically to the reduction of excitatory drive and instead increase inhibition. This imposes an excessive burden on motor neurons and further restricts their recruitment to activate muscle contraction. Importantly, genetic or pharmacological reduction of inhibitory synaptic drive improves neuronal function and provides behavioural benefit in SMA mice. Our findings identify the lack of excitation-inhibition homeostasis as a major maladaptive mechanism in SMA, by which the combined effects of reduced excitation and increased inhibition diminish the capacity of premotor commands to recruit motor neurons and elicit muscle contractions.

neuroscience↗

Deep Learning Detection of Subtle Torsional Eye Movements: Preliminary Results

The control of torsional eye position is a key component of ocular motor function. Ocular torsion can be affected by pathologies that involve ocular motor pathways, spanning from the vestibular labyrinth of the inner ears to various regions of the brainstem and cerebellum. Timely and accurate diagnosis enables efficient interventions and management of each case which are crucial for patients with dizziness, vertical double vision, or imbalance. Such detailed evaluation of eye movements may not be possible in all frontline clinical settings, particularly for detecting torsional abnormalities. These abnormalities are often more challenging to identify at the bedside compared to horizontal or vertical eye movements. To address these challenges, we used a dataset of torsional eye movements recorded with video-oculography (VOG) to develop deep learning models for detecting ocular torsion. Our models achieve 0.9308 AUROC and 86.79 % accuracy, leveraging ocular features particularly pertinent to tracking torsional eye position.

neuroscience↗

Negative feedback control of hunger circuits by the taste of food

The rewarding taste of food is critical for motivating animals to eat, but whether taste has a parallel function in promoting meal termination is not well understood. Here we show that hunger-promoting AgRP neurons are rapidly inhibited during each bout of ingestion by a signal linked to the taste of food. Blocking these transient dips in activity via closed-loop optogenetic stimulation increases food intake by selectively delaying the onset of satiety. We show that upstream leptin receptor-expressing neurons in the dorsomedial hypothalamus (DMHLepR) are tuned to respond to sweet or fatty tastes and exhibit time-locked activation during feeding that is the mirror image of downstream AgRP cells. These findings reveal an unexpected role for taste in the negative feedback control of ingestion. They also reveal a mechanism by which AgRP neurons, which are the primary cells that drive hunger, are able to influence the moment-by-moment dynamics of food consumption.

neuroscience↗

Drosophila melanogaster is a powerful host model to study mycobacterial virulence

Drosophila melanogaster (Drosophila), the common fruit fly, is one of the most extensively studied animal models we have, with a broad, advanced, and organized research community with tools and mutants readily available at low cost. Yet, Drosophila has barely been exploited to understand the underlying mechanisms of mycobacterial infections, including those caused by the top-killer pathogen Mycobacterium tuberculosis (Mtb). In this study, we aimed to investigate whether Drosophila is a suitable host model to study mycobacterial virulence, using Mycobacterium marinum (Mmar) to model mycobacterial pathogens. First, we validated that an established mycobacterial virulence factor, EccB1 of the ESX-1 Type VII secretion system, is required for Mmar growth within the flies. Second, we identified Mmar virulence factors in Drosophila in a high-throughput genome-wide manner using transposon insertion sequencing (TnSeq). Of the 181 identified virulence genes, the vast majority (91%) had orthologs in Mtb, suggesting that the encoded virulence mechanisms may be conserved across Mmar and Mtb. Finally, we validated one of the novel Mmar virulence genes we identified, a putative ATP-binding protein ABC transporter encoded by mmar_1660, as required for full virulence during both Drosophila and human macrophage infection. Together, our results show that Drosophila is a powerful host model to study and identify novel mycobacterial virulence factors relevant to human infection.

microbiology↗

Enteroendocrine cell types that drive food reward and aversion

Animals must learn through experience which foods are nutritious and should be consumed, and which are toxic and should be avoided. Enteroendocrine cells (EECs) are the principal chemosensors in the GI tract, but investigation of their role in behavior has been limited by the difficulty of selectively targeting these cells in vivo. Here we describe an intersectional genetic approach for manipulating EEC subtypes in behaving mice. We show that multiple EEC subtypes inhibit food intake but have different effects on learning. Conditioned flavor preference is driven by release of cholecystokinin whereas conditioned taste aversion is mediated by serotonin and substance P. These positive and negative valence signals are transmitted by vagal and spinal afferents, respectively. These findings establish a cellular basis for how chemosensing in the gut drives learning about food.

physiology↗

Agent-Based Model of Multicellular Spheroid Pattern Formation Driven by Synthetic Cell Adhesion Signaling Circuits

Differential adhesion within cell populations enables the emergence of unique patterns in heterogeneous multicellular systems. This process has been previously explored using synthetically engineered heterogenous multicell spheroid systems, in which cell subpopulations engage in bidirectional intercellular signaling to regulate the expression of different cadherins. While engineered cell systems provide excellent experimental tools to observe pattern formation in cell populations, computational models may be leveraged to more systematically explore the key parameters that drive the emergence of different patterns. We developed and validated two- and three-dimensional agent-based models (ABMs) of spheroid patterning for cells engineered with a bidirectional signaling circuit that regulates N- and P-cadherin expression. The model was used to predict how varying initial cell seedings, cadherin induction probabilities, or homotypic adhesion strengths between cells impact spheroid patterning, and unsupervised machine learning techniques were used to map system parameters to unique spheroid patterns. The model was then deployed to design new synthetic cell signaling circuits based on a desired final multicell pattern.

systems biology↗

Hypothalamic estrogen receptor alpha mediates key side effects of tamoxifen therapy in mice

Adjuvant tamoxifen therapy for invasive breast cancer improves patient survival. Unfortunately, long-term treatment comes with side effects that impact health and quality of life, including hot flashes, changes in bone density, and fatigue. Partly due to a lack of proven animal models, the tissues and cell types that mediate these negative side effects are largely unknown. Here we show that mice undergoing a 28-day course of tamoxifen treatment experience dysregulation of core and skin temperature, changes in bone density, and decreased physical activity, recapitulating key aspects of the human physiological response. Single cell RNA sequencing reveals that tamoxifen treatment induces significant and widespread gene expression changes in different cell types of the hypothalamus, most strongly in neurons and ependymal cells. These expression changes are dependent on estrogen receptor alpha (ER), as conditional knockout of ER in the hypothalamus ablated or reversed tamoxifen-induced gene expression. Accordingly, ER-deficient mice do not exhibit changes in thermal regulation, bone density, or movement in response to tamoxifen treatment. These findings provide mechanistic insight into the effects of tamoxifen on the hypothalamus and support a model in which hypothalamic ER mediates several key side effects of tamoxifen therapy.

neuroscience↗

Global assessment of Mycobacterium avium subspecies hominissuis genetic requirement for growth and virulence.

Nontuberculous mycobacterial infections caused by the opportunistic pathogen Mycobacterium avium subsp. hominissuis (MAH) are currently receiving renewed attention due to increased incidence combined with difficult treatment. Insights into the disease-causing mechanisms of this species have been hampered by difficulties in genetic manipulation of the bacteria. Here, we identified and sequenced a highly transformable, virulent MAH clinical isolate susceptible to high-density transposon mutagenesis, facilitating global gene disruption and subsequent investigation of MAH gene function. By transposon insertion sequencing (TnSeq) of this strain, we defined the MAH genome-wide genetic requirement for virulence and in vitro growth, and organized ~3500 identified transposon mutants for hypothesis-driven research. The majority (71 %) of the genes we identified as essential for MAH in vitro had a growth-essential mutual ortholog in the related and highly virulent M. tuberculosis (Mtb). However, passaging our library through a mouse model of infection revealed a substantial number (54% of total hits) of novel virulence genes. Strikingly, > 97 % of the MAH virulence genes had a mutual ortholog in Mtb. Two of the three virulence genes specific to MAH (i.e. no Mtb mutual orthologs) were PPE proteins, a family of proteins unique to mycobacteria and highly associated with virulence. Finally, we validated novel genes as required for successful MAH infection; one encoding a probable MFS transporter and another a hypothetical protein located in immediate vicinity of six other identified virulence genes. In summary, we provide new, fundamental insights into the underlying genetic requirement of MAH for growth and host infection.\n\nAuthor summaryPulmonary disease caused by nontuberculous mycobacteria is increasing worldwide. The majority of these infections are caused by the M. avium complex (MAC), whereof >90% arise from Mycobacterium avium subsp. hominissuis (MAH). Treatment of MAH infections is currently difficult, with a combination of antibiotics given for at least 12 months. To control MAH by improved therapy, prevention and diagnostics, we need to understand the underlying mechanisms of infection. While genetic manipulation of pathogens is crucial to study pathogenesis, M. avium (Mav) has been found notoriously hard to engineer. Here, we identify an MAH strain highly susceptible to high-density transposon mutagenesis and transformation, facilitating genetic engineering and analysis of gene function. We provide crucial insights into this strains global genetic requirements for growth and infection. Surprisingly, we find that the vast majority of genes required for MAH growth and virulence (96% and 97%, respectively) have mutual orthologs in the tuberculosis-causing pathogen M. tuberculosis (Mtb). However, we also find growth and virulence genes specific to MAC species. Finally, we validate novel mycobacterial virulence factors that might serve as future drug targets for MAH-specific treatment, or translate to broader treatment of related mycobacterial diseases.

microbiology↗