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Mueller, S.

Publications and source records attributed to Mueller, S..

At least 55 records · Page 3Linked to original sources

Gut-Brain Hydraulics: Brain motion and CSF circulation is driven by mechanical coupling with the abdomen

The brain moves within the skull, but the drivers and function of this motion are not understood. We visualized brain motion relative to the skull in awake head-fixed mice using high-speed, multi-plane two-photon microscopy. Brain motion was primarily rostrally and laterally directed, and was tightly correlated with locomotion, but not with respiration or the cardiac cycle. Electromyography recordings in abdominal muscles and microCT reconstructions of the trunk and spinal vasculature showed that brain motion was driven by abdominal muscle contractions that activate a hydraulic-like vascular connection between the nervous system and the abdominal cavity. Externally-applied abdominal pressure generated brain motion similar to those seen during abdominal muscle contractions. Simulations showed that brain motion drives substantial volumes of interstitial fluid through and out of the brain (at volumetric rates several times higher than production) into the subarachnoid space, in the opposite direction of fluid flow seen during sleep. The brain is hydraulically linked to the abdominal compartment, and fluid flow in the brain is coupled to body movements, providing a mechanism by which the mechanics of the viscera directly impact brain health.

neuroscience↗

A common neuronal basis for Pavlovian and instrumental learning in amygdala circuits

Reward-predictive Pavlovian cues can selectively invigorate instrumental behaviors. Accumulating evidence pinpoints the basolateral amygdala (BLA) as a key brain structure to assign outcome-specific motivational significance to Pavlovian cues or Instrumental actions. However, whether neuronal representations of Pavlovian and Instrumental learnings are processed in different BLA circuits and how the resulting memories interact is unknown. Here, we used calcium imaging and optogenetic manipulation of the BLA neurons in mice that acquired and expressed Pavlovian and Instrumental behaviors in a multi-phase behavioral task called specific Pavlovian to Instrumental Transfer (sPIT). We first confirmed that Pavlovian cues selectively invigorate instrumental actions and showed that this effect, referred as the sPIT effect, depends on BLA activity. Then, by tracking the activity of single BLA neurons across days, we found that BLA neurons integrate common reward-anticipation information relevant for Pavlovian and instrumental learning. Interestingly, this reward-anticipation information re-emerged during subsequent memory transfer and covaried with sPIT effect. These findings reveal that the BLA encodes an outcome-specific motivational state that generalizes across Pavlovian and instrumental behaviors to promote and guide reward-seeking behavior.

neuroscience↗

2-Deoxy-D-glucose chemical exchange-sensitive spin-lock MRI of cerebral glucose metabolism after stroke in the rat

Rapid breakdown of cerebral glucose metabolism is a hallmark in stroke pathology. Metabolic activity delineates the penumbra from the infarct core, representing tissue that is potentially salvageable by therapeutic interventions. Tools to image dynamics of glucose and its spatial distribution could provide biomarkers of disease severity and of the success of therapeutic interventions. Here, we developed a new protocol to measure glucose metabolism in a rat model of stroke using chemical exchange-sensitive spin-lock (CESL) MRI of the glucose analog 2-deoxy-D-glucose (2DG). We further implemented a protocol that combines 2DG-CESL-MRI with perfusion and diffusion MRI to relate this new signal to established definitions of hypoperfused tissue, cytotoxic edema and the penumbra. We found that 2DG-CESL-MRI provides a biomarker of disturbed glucose metabolism after stroke with high effect size. This is the first study to investigate CESL MRI of 2DG in the context of metabolism imaging in rodent stroke.

neuroscience↗

Lactylation fuels nucleotide biosynthesis and facilitates deuterium metabolic imaging of tumor proliferation in H3K27M-mutant gliomas

Oncogenes hyperactive lactate production, but the mechanisms by which lactate facilitates tumor growth are unclear. Here, we demonstrate that lactate is essential for nucleotide biosynthesis in pediatric diffuse midline gliomas (DMGs). The oncogenic histone H3K27M mutation upregulates phosphoglycerate kinase 1 (PGK1) and drives lactate production from [U-13C]-glucose in DMGs. Lactate activates the nucleoside diphosphate kinase NME1 via lactylation and promotes the synthesis of nucleoside triphosphates essential for tumor proliferation. Importantly, we show that this mechanistic link between glycolysis and nucleotide biosynthesis provides a unique opportunity for deuterium metabolic imaging of DMGs. Spatially mapping 2H-lactate production from [6,6-2H]-glucose allows visualization of the metabolically active tumor lesion and provides an early readout of response to standard-of-care radiation and targeted therapy that precedes extended survival and reflects pharmacodynamic alterations at the tissue level in preclinical DMG models in vivo at clinical field strength (3T). In essence, we have identified an H3K27M-lactate-NME1 axis that promotes DMG proliferation and facilitates non-invasive metabolic imaging of DMGs. STATEMENT OF SIGNIFICANCEThis study establishes a role for lactate in driving nucleotide biosynthesis in DMGs. Importantly, imaging lactate production from glucose using DMI provides a readout of tumor proliferation and early response to therapy in clinically relevant DMG models. Our studies lay the foundation for precision metabolic imaging of DMG patients.

cancer biology↗

Nurr1 orchestrates claustrum development and functionality

Claustrum is the part of the forebrain known to be most widely interconnected tissue with almost all global regions. It is believed to be involved in coordinating multiple cognitive behaviors including consciousness formation. However, little is known about the molecular mechanisms underlying its development and involvement in behavioral control. Here we show that Nurr1 (Nr4a2) is the key transcription factor orchestrating claustral morphogenesis, functional connectivity and thus behaviors. Nurr1 deficient claustral cells aberrantly migrate into insular cortex, shaping claustrum into an abnormal wing-like structure, and ectopically turn on insular corticex genetic program. Accordingly, functional connectivity of the claustrum is not properly formed and relevant behaviors are dysregulated in Nurr1 deficient mice. We show that Nurr1 regulates claustral neuron positioning by suppressing G-protein signaling.

neuroscience↗

The cysteine-reactive covalent RNF4 ligand CCW16 induces ferroptosis in AML cells by activation of ROS signaling

The SUMO-targeted E3 ubiquitin ligase RNF4 plays an important role in safeguarding genome and proteome integrity. RNF4 recognizes polySUMO modified proteins and induces their proteolytic or non-proteolytic ubiquitylation. Given the key function of RNF4 in maintaining proteome and genome stability, we explored its role in cancer cell survival and as a potential cancer drug target. We found that RNF4 is overexpressed in acute myeloid leukemia and high expression levels correlate with poor survival of patients. Depletion of RNF4 exerts antiproliferative effects in AML cells and increased their sensitivity towards antileukemic drugs thus validating RNF4 as a potential vulnerability in AML. To develop PROTACs for targeted degradation of RNF4, we aimed to exploit the recently described cysteine-reactive RNF4 ligand CCW16, and synthesized a set of CCW16-derived degrader molecules using established VHL- and CRBN-E3 ligands. We validated covalent binding of CCW16 and CCW16-derived PROTACs to cysteine residues outside the RING domain of RNF4 using recombinant protein. However, none of the synthesized PROTACs were active in degrading RNF4 in a panel of different cell lines. Consistent with the high reactivity of the chosen electrophile, we detected in the cellular context covalent attachment of CCW16 to accessible cysteines in a large number of proteins including covalent linkage with the catalytic residues in members of the peroxiredoxin family. Furthermore, exposure of cells to CCW16-derived PROTACs induced upregulation of heme oxygenase 1, a ferroptosis marker and impaired cell viability in a distinct, RNF4-independent, ferroptotic cell death pathway.

cell biology↗

Neural mechanisms of adaptive value coding in the amygdala

To address their needs, animals must optimize behavior by integrating external cues with internal state signals, such as hunger or thirst, environmental conditions, and past experiences. Accordingly, the perceived value of a reward varies depending on an animals current needs. Updating the specific value of rewards predicted by external cues depends on the basolateral amygdala (BLA). However, neurophysiological investigations have centered around the assumption of stimulus-invariant value representations and have not been able to account for behavioral findings that support the BLAs ability to represent stimulus-specific value of distinct appetitive or aversive outcomes. To address how the BLA encodes and updates stimulus-specific value representations, we exposed head-fixed mice to distinct sets of gustatory rewards while tracking perceived value using lick microstructural analysis. Two-photon calcium imaging of BLA principal neurons revealed that the magnitude of the BLA population response scaled with perceived reward value and that the values of different rewards were encoded by distinct neuronal subpopulations. Moreover, reward representations rapidly re-scaled when mice were exposed to a reward that was larger than all previous rewards. Finally, value representations depended on an animals internal state as thirst selectively increased the responses to water rewards whereas aversive experiences strongly attenuated responses to sucrose. Our findings demonstrate that value representations in the BLA are stimulus-specific and highly adaptive to account for changes in relative reward value and to reflect an animals current affective and homeostatic state. This mechanism enables sensory-specific value updates necessary for state-adapted decision making and learning.

neuroscience↗

Characterizing human CMV-specific CD8+ T cells using multi-layer single-cell omics

In this study we established a comprehensive workflow to collect multi-omics single-cell data using a commercially available micro-well based platform. This included whole transcriptome, cell surface markers (targeted sequencing-based cell surface proteomics), T cell specificities, adaptive immune receptor repertoire (AIRR) profiles and sample multiplexing. With this technique we identified novel paired T cell receptor sequences for three prominent human CMV epitopes. In addition, we review the ability of dCODE dextramers to detect antigen-specific T cells at low frequencies by estimating sensitivities and specificities when used as reagents for single-cell multi-omics. MotivationIn this study, we report the first five-layer multi-omics dataset using the BD Rhapsody single-cell platform for the characterization of human antigen-specific T cells. Modalities include whole transcriptome, T cell receptor (TCR) sequences, T cell antigen specificity measured by dCODE dextramers, surface marker proteins and combinatorial sample multiplexing combining two distinct hashing approaches.

genomics↗

Forest dieback in drinking water protection areas - a hidden threat to water quality

For centuries, forests have been considered a natural safeguard for drinking water quality. We challenge this view in light of the rising frequency of climate extremes, such as droughts coinciding with high temperatures, which have caused unprecedented pulses of forest dieback globally. Drought-induced forest diebacks may jeopardize the crucial role of forests in protecting water quality, potentially even turning forests into sources of contamination. To underscore the critical importance of the topic, here we provide the first comprehensive assessment of forest cover, type, and dieback (assessed as canopy cover loss) across drinking Water Protection Areas (WPAs) in Germany, one of the countries hit most severely by the unprecedented Central European drought of 2018-2020. Our findings reveal a high forest cover of 43% in WPAs, from which a substantial amount of 5% canopy cover got lost within only three years as a direct or indirect consequence of the drought. Spruce-dominated forests, constituting 28% of all forests in WPAs, were particularly susceptible, but other dominant tree species also experienced anomalously high mortality rates. Combining this assessment with exemplary records of nitrate concentrations in the groundwater of WPAs revealed that forest dieback can significantly impair drinking quality. On average, nitrate concentrations more than doubled in WPAs with severe forest dieback, whereas nitrate concentrations did not significantly change in undisturbed WPAs. However, we also found pronounced differences between WPAs affected by forest dieback, underlining the need for further data and research to derive a generalizable understanding of the underlying mechanisms and controls. Based on this assessment, we deduce critical data and knowledge gaps essential to developing well-informed prediction, adaptation, and mitigation strategies. We call for interdisciplinary research addressing the hidden threat forest dieback poses for our drinking water resources.

biochemistry↗

Macrovascular contributions to resting-state fMRI signals: A comparison between EPI and bSSFP at 9.4 Tesla

The draining-vein bias of T2*-weighted sequences, like gradient echo echo-planar imaging (GRE-EPI), can limit the spatial specificity of functional MRI (fMRI). The underlying extravascular signal changes increase with field strength (B0) and the perpendicularity of draining veins to the main axis of B0, and are therefore particularly problematic at ultra-high field (UHF). In contrast, simulations showed that T2-weighted sequences are less affected by the draining-vein bias, depending on the amount of rephasing of extravascular signal. As large pial veins on the cortical surface follow the cortical folding tightly, their orientation can be approximated by the cortical orientation to [Formula]. In our work, we compare the influence of the cortical orientation to [Formula] on the resting-state fMRI signal of three sequences aiming to understand their macrovascular contribution. While 2D GRE-EPI and 3D GRE-EPI (both T2*-weighted) showed a high dependence on the cortical orientation to [Formula], especially on the cortical surface, this was not the case for 3D balanced steady-state free precession (bSSFP) (T2/T1-weighted). Here, a slight increase of orientation dependence was shown in depths closest to WM. And while orientation dependence decreased with increased distance to the veins for both EPI sequences, no change in orientation dependence was observed in bSSFP. This indicates the low macrovascular contribution to the bSSFP signal, making it a promising sequence for layer fMRI at UHF.

neuroscience↗

Functional characterization of pathway inhibitors for the ubiquitin-proteasome system (UPS) as tool compounds for CRBN and VHL-mediated targeted protein degradation

Small molecule degraders such as PROteolysis TArgeting Chimeras (PROTACs) or molecular glues are new modalities for drug development and important tools for target validation. Both modalities recruit an E3 ubiquitin ligase to a protein of interest (POI) either via two independent, but linked ligands (PROTACs) or through binding of a small molecule that alters the E3 binding surface to recruit a neo-substrate (molecular glues). If optimized appropriately, both modalities result in the degradation of the POI. Due to the complexity of the induced multistep degradation process, controls for degrader evaluation are critical and they are commonly used in the literature. However, comparative studies and evaluation of cellular potencies of these control compounds and their appropriate uses have not been published so far. Additionally, the high diversity of mechanisms requires diverse small molecule controls to ensure appropriate inhibition of the investigated system while keeping potential cellular toxicity and unintended effects on cellular pathways as low as possible. Here, we scrutinized a diverse set of ubiquitin pathway inhibitors and evaluated their potency and utility within the CRBN and VHL mediated POI degradation pathway. We used the HiBiT system to measure the levels of target rescue after treatment with control compounds. Additionally, cell health was investigated using a multiplex high content assay. This assay panel allows us to determine non-toxic effective concentrations for control experiments and to perform rescue experiments in the absence of cellular toxicity, which has a profound effect on target degradation by ubiquitin-dependent and -independent pathways.

biochemistry↗

GABA production induced by imipridones is a targetable and imageable metabolic alteration in diffuse midline gliomas

Diffuse midline gliomas (DMGs) are lethal primary brain tumors in children. The imipridones ONC201 and ONC206 induce mitochondrial dysfunction and have emerged as promising therapies for DMG patients. However, efficacy as monotherapy is limited, identifying a need for strategies that enhance response. Another hurdle is the lack of biomarkers that report on drug-target engagement at an early timepoint after treatment onset. Here, using 1H-magnetic resonance spectroscopy, which is a non-invasive method of quantifying metabolite pool sizes, we show that accumulation of {psi}-aminobutyric acid (GABA) is an early metabolic biomarker that can be detected within a week of ONC206 treatment, when anatomical alterations are absent, in mice bearing orthotopic xenografts. Mechanistically, imipridones activate the mitochondrial protease ClpP and upregulate the stress-responsive transcription factor ATF4. ATF4, in turn, upregulates glutamate decarboxylase, which synthesizes GABA, and downregulates ABAT, which degrades GABA, leading to GABA accumulation in DMG cells and tumors. Functionally, GABA secreted by imipridone-treated cells acts in an autocrine manner via the GABAB receptor to induce expression of superoxide dismutase (SOD1), which mitigates imipridone-induced oxidative stress and, thereby, curbs apoptosis. Importantly, blocking autocrine GABA signaling using the clinical stage GABAB receptor antagonist SGS-742 exacerbates oxidative stress and synergistically induces apoptosis in combination with imipridones in DMG cells and orthotopic tumor xenografts. Collectively, we identify GABA as a unique metabolic adaptation to imipridones that can be leveraged for non-invasive assessment of drug-target engagement and therapy. Clinical translation of our studies has the potential to enable precision metabolic therapy and imaging for DMG patients. One Sentence SummaryImipridones induce GABA accumulation in diffuse midline gliomas, an effect that can be leveraged for therapy and non-invasive imaging.

cancer biology↗

Pore formation at the lytic synapse triggers the canonical pyroptotic cell death pathway

Prokaryotic pore-forming toxins drive inflammasome activation and pyroptosis through K+-dependent activation of the canonical NLRP3/caspase-1/gasdermin D signaling axis. In this study, we hypothesized that perforin, a eukaryotic pore-forming protein released into the lytic synapse by antigen-specific cytotoxic T lymphocytes (CTLs) upon cognate antigen recognition, mimics the pro-pyroptotic activity of ancestral pore-forming toxins, complementing its role as a conduit for granzymes. Utilizing imaging and molecular approaches, we demonstrate that perforation of target cells upon CTL attack elicits swift K+ efflux followed by NLRP3-dependent activation of proinflammatory caspase-1 and its major substrate, the pyroptotic executioner gasdermin D (GSDMD). Acute target cell death upon CTL attack is gasdermin-dependent and demonstrates morphological and molecular features of pyroptosis, including pyroptotic body formation, cell bloating, plasma membrane rupture, and release of intracellular contents. Perforation of target cells by soluble perforin is sufficient to trigger rapid K+ efflux, caspase-1 activation, and pyroptosis. By contrast, sustained interaction with CTLs unmasks a delayed apoptotic phenotype in the remaining target cells. Interestingly, exposure of target cells to exogenous supramolecular attack particles (SMAPs) recapitulates this apoptotic phenotype, suggesting that soluble perforin and SMAPs play dichotomous roles in target cell death. Our results reveal a novel mechanism for engagement of pyroptotic machinery upon CTL attack, in which perforin itself can autonomously engage programmed cell death (PCD), highlighting the complexity and diversity of the CTL lytic arsenal.

immunology↗

Ide copy number variant does not influence lesion size and mortality in two C57BL/6J mouse models of cerebrovascular ischemia nor in human cerebrovascular disease. An exploratory study

Contrary to the common belief, the most commonly used laboratory mouse inbred strains are shaped by a distinctive genetic and phenotypic diversity. In the past 10 years next generation sequencing unveiled a wide spectrum of genetic variants in different mouse inbred strains and the meticulous observation of researchers pointed to a variegate intra-and inter-strain phenotypic diversity. Although a genotype-phenotype correlation has been described for some traits, the relationship between several endophenotypes and causative genetic variability remains still unknown. Recently, we characterized the brain collateral plasticity in two brain ischemia C57BL/6J mouse models (i.e bilateral common carotid artery stenosis [BCCAS] and 60-min transient unilateral middle cerebral artery occlusion [MCAO]) and observed a Mendelian-like fashion of inheritance of the posterior communicating artery (PcomA) plasticity. Interestingly, a copy number variant (CNV) spanning Ide locus was reported to segregate in an analogous Mendelian-like pattern in the C57BL/6J colonies of the Jackson Laboratory. Given the critical role of Ide in vascular plasticity, Ide CNV was an excellent candidate to explain PcomA variability in C57BL/6J inbred mice. To investigate this hypothesis, we applied a combination of complementary techniques (i.e T2-weighted magnetic resonance imaging [MRI], time of flight [TOF] angiography [MRA], cerebral blood flow [CBF] imaging and histology) to characterize the collaterome in C57BL/6J BCCAS and MCAO mice and performed on these Taqman genotyping, exome sequencing, and RNA sequencing. We report an Ide CNV in a BCCAS mouse with 2 patent PcomAs. We then investigated the hypothesis that IDE gain and loss of function mutations may have influenced the vascular phenotype in a cohort of 438,250 cases and controls (UK Biobank) and 15,790 neurological patients (Genomics England), respectively. We identified four IDE CNVs resulting in a loss of function (LoF) in one patient with hereditary ataxia, a patient with hereditary congenital heart disease and two healthy individuals. In addition, we report four IDE LoF point mutations (p.Leu5X, p.Met394ValfsX29, p.Pro14SerfsX26, p.Leu889X) present in controls or inherited from healthy parents. Ide CNV and LoF variants do not crucially influence PcomA variability in C57BL/6J inbred mice and do not cause a vascular phenotype in humans.

genetics↗

Synthesis and evaluation of chemical linchpins for highly selective CK2α targeting

Casein kinase-2 (CK2) are serine/threonine kinases with dual co-factor (ATP and GTP) specificity, that are involved in the regulation of a wide variety of cellular functions. Small molecules targeting CK2 have been described in the literature targeting different binding pockets of the kinase with a focus on type I inhibitors such as the recently published chemical probe SGC-CK2-1. In this study, we investigated whether known allosteric inhibitors binding to a pocket adjacent to helix D could be combined with ATP mimetic moieties defining a novel class of ATP competitive compounds with a unique binding mode. Linking both binding sites requires a chemical linking moiety that would introduce a 90-degree angle between the ATP mimetic ring system and the D targeting moiety, which was realized using a sulfonamide. The synthesized inhibitors were highly selective for CK2 with binding constants in the nM range and low micromolar activity. While these inhibitors need to be further improved, the present work provides a structure-based design strategy for highly selective CK2 inhibitors.

biochemistry↗

Plasma membrane and cytoplasmic compartmentalization: a dynamic structural framework required for pollen tube tip growth

Rapid, unidirectional pollen tube tip growth is essential for fertilization and is widely employed as a model of polar cell expansion, a process crucial for plant morphogenesis. Different proteins and lipids with key functions in the control of polar cell expansion are associated with distinct domains of the plasma membrane (PM) at the pollen tube tip. These domains need to be dynamically maintained during tip growth, which depends on massive secretory and endocytic membrane traffic. Very little is currently known about the regulatory and cellular mechanisms responsible for the compartmentalization of the pollen tube PM. To provide a reliable structural framework for the further characterization of these mechanisms, an integrated quantitative map was compiled of the relative positions in normally growing tobacco pollen tubes of PM domains 1) enriched in key signaling proteins or lipids, 2) displaying high membrane order, or 3) in contact with cytoplasmic structures playing important roles in apical membrane traffic. Previously identified secretory and endocytic PM domains were also included into this map. Internalization of regulatory proteins or lipids associated with PM regions overlapping with the endocytic domain was assessed based on brefeldin A (BFA) treatment. These analyses revealed remarkable aspects of the structural organization of tobacco pollen tube tips, which enhance our understanding of tip growth by providing important insights into 1) RAC/ROP signaling, 2) phosphatidylinositol 4,5-bisphosphate (PI4,5P2) metabolism and functions, 3) trafficking of signaling lipids, 4) functions of domains displaying high membrane order, and 5) Ca2+ regulation of secretion. SummaryQuantitative mapping of plasma membrane and cytoplasmic domains at the tip of elongating tobacco pollen provides important insights into regulatory and cellular mechanisms essential for tip growth.

cell biology↗

Perceived biodiversity: is what we measure also what we see and hear?

1. Biodiversity is crucial for human health and well-being. Perceived biodiversity - peoples subjective experience of biodiversity - seems to be particularly relevant for mental well-being. 2. Using photographs and audio recordings of forests that varied in levels of species richness, we conducted two sorting studies to assess how people perceive visual and acoustic diversity and whether their perceptions align with measured tree and bird species richness ( actual diversity). Per study, 48 participants were asked to sort the stimuli according to any similarity-based sorting criteria they liked ( open sorts) and perceived diversity ( closed sorts). 3. The main perceived visual forest characteristics identified by participants in the open visual sorts were vegetation density, light conditions, forest structural attributes and colours. The main perceived acoustic forest characteristics identified in the open acoustic sorts comprised bird song characteristics, physical properties such as volume, references to the time of day or seasonality and evoked emotions. 4. Perceived visual and acoustic diversity were significantly correlated with actual tree and bird species richness, respectively. Notably, the relationship was twice as strong for the acoustic sense. The acoustic sense may thus be crucial to obtain a more thorough understanding of perceived biodiversity. 5. We further computed several visual and acoustic diversity indices from the photos and audio recordings, e.g. colourfulness or acoustic complexity, and assessed their relevance for perceived and actual diversity. While all acoustic diversity indices were significantly associated with perceived acoustic diversity and bird richness, we could not identify a visual diversity index that captured perceived visual diversity and tree richness. 6. Our results suggest that people can perceive species richness. Our identified visual and acoustic forest characteristics may help to better understand perceived diversity and how it differs from actual diversity. We present acoustic diversity indices that quantify aspects of perceived and actual acoustic diversity. These indices may serve as cost-efficient tools to manage and plan greenspaces to promote biodiversity and mental well-being.

ecology↗

Unveiling the Power of High-Dimensional Cytometry Data with cyCONDOR

High-dimensional cytometry (HDC) is a powerful technology for studying single-cell phenotypes in complex biological systems. Although technological developments and affordability have made HDC broadly available in recent years, technological advances were not coupled with an adequate development of analytical methods that can take full advantage of the complex data generated. While several analytical platforms and bioinformatics tools have become available for the analysis of HDC data, these are either web-hosted with limited scalability or designed for expert computational biologists, making their use unapproachable for wet lab scientists. Additionally, end-to-end HDC data analysis is further hampered due to missing unified analytical ecosystems, requiring researchers to navigate multiple platforms and software packages to complete the analysis. To bridge this data analysis gap in HDC we developed cyCONDOR, an easy-to-use computational framework covering not only all essential steps of cytometry data analysis but also including an array of downstream functions and tools to expand the biological interpretation of the data. The comprehensive suite of features of cyCONDOR, including guided pre-processing, clustering, dimensionality reduction, and machine learning algorithms, facilitates the seamless integration of cyCONDOR into clinically relevant settings, where scalability and disease classification are paramount for the widespread adoption of HDC in clinical practice. Additionally, the advanced analytical features of cyCONDOR, such as pseudotime analysis and batch integration, provide researchers with the tools to extract deeper insights from their data. We used cyCONDOR on a variety of data from different tissues and technologies demonstrating its versatility to assist the analysis of high dimensionality data from preprocessing to biological interpretation.

bioinformatics↗