Biology subjects

Park, J.

Publications and source records attributed to Park, J..

At least 343 records · Page 19Linked to original sources

bioRxiv2022

Seasonal siderophore uptake and biosynthesis associated with carbon flux at Station ALOHA

The North Pacific subtropical gyre is a globally important contributor to carbon uptake and an oligotrophic ecosystem primarily limited by nitrogen. The microbial community is also seasonally exposed to low iron due to biological consumption and seasonally variable iron delivery. In this study, we examined changes in iron uptake rates, dissolved siderophore concentrations, and siderophore biosynthesis at Station ALOHA across time (2013-2016) and depth (surface to 500 m) to observe changes in iron acquisition and internal cycling by the microbial community. The genetic potential for siderophore biosynthesis was widespread throughout the upper water column, and biosynthetic gene clusters peaked in spring and summer along with siderophore concentrations, suggesting changes in nutrient delivery, primary production, and carbon export impact iron acquisition over the seasonal cycle. Dissolved iron turnover times, calculated from iron-amended experiments conducted using surface (15 m) and mesopelagic (300 m) waters, ranged from 9-252 days. The shortest average turnover times at both depths were associated with inorganic iron additions (14{+/-}9 days) and the longest with iron bound to strong siderophores (148{+/-}225 days). Uptake rates of siderophore-bound iron were faster in the mesopelagic waters than in the surface, leading to high Fe:C uptake ratios of heterotrophic bacteria in the upper mesopelagic. The rapid cycling and high demand for Fe at 300 m suggests differences in microbial metabolism and iron acquisition in the mesopelagic compared to surface waters. Together, changes in siderophore production and consumption over the seasonal cycle suggest organic carbon availability impacts iron cycling at Station ALOHA. Scientific Significance StatementMicrobial community production in the subtropical oligotrophic North Pacific is limited by macronutrients such as nitrogen. However, dissolved iron is another important micronutrient that has seasonal inputs from dust and passing eddies, keeping the availability of iron low and episodic. Little attention has been paid to the microbial strategies for dealing with low iron to support primary production in the oligotrophic ocean, or how limited iron availability impacts the processing of sinking particulate organic carbon in this region. In this study, we explore iron cycling including siderophore production and uptake by the microbial community throughout the water column at Station ALOHA to examine how the microbial community adapts and responds to changing iron and carbon availability on seasonal timescales.

bioinformatics↗

bioRxiv2022

Tunable image-mapping optical coherence tomography

We present tunable image-mapping optical coherence tomography (TIM-OCT), which can provide optimized imaging performance for a given application by using a programmable phase-only spatial light modulator in a low-coherence full-field spectral-domain interferometer. The resultant system can provide either a high lateral resolution or a high axial resolution in a snapshot without moving parts. Alternatively, the system can achieve a high resolution along all dimensions through a multiple-shot acquisition. We evaluated TIM-OCT in imaging both standard targets and biological samples. Additionally, we demonstrated the integration of TIM-OCT with computational adaptive optics in correcting sample-induced optical aberrations.

bioengineering↗

bioRxiv2022

Preserved neural population dynamics across animals performing similar behaviour

Animals of the same species often exhibit similar behaviours that are advantageously adapted to their body and their environment. These behaviours are shaped by selection pressures over evolutionary timescales at the species level, yet each individual produces these behaviours using a different, uniquely constructed brain. It remains unclear how these common behavioural adaptations emerge from the idiosyncratic neural circuitry of a given individual. Here, we hypothesised that the adaptive behaviour of a species requires specific neural population latent dynamics. These latent dynamics should thus be preserved and identifiable across individuals within a species, regardless of the idiosyncratic aspects of each individuals brain. Using recordings of neural populations from monkey and mouse motor cortex, we show that individuals from the same species share surprisingly similar neural dynamics when they perform the same behaviour. The similarity in neural population dynamics extends beyond cortical regions to the dorsal striatum, an evolutionarily older structure, and also holds when animals con-sciously plan future movements without overt behaviour. These preserved dynamics are behaviourally-relevant, allowing decoding of intended and ongoing movements across individuals. We posit that these emergent neural population dynamics result from evolutionarily-imposed constraints on brain development, and reflect a fundamental property of the neural basis of behaviour.

neuroscience↗

bioRxiv2022

A genome-wide atlas of recurrent repeat expansions in human cancer

Expansion of a single repetitive DNA sequence, termed a tandem repeat (TR), is known to cause more than 50 diseases. However, repeat expansions are often not explored beyond neurological and neurodegenerative disorders. In some cancers, mutations accumulate in short tracts of TRs (STRs), a phenomenon termed microsatellite instability (MSI); however larger repeat expansions have not been systematically analyzed in cancer. Here, we identified TR expansions in 2,622 cancer genomes, spanning 29 cancer types. In 7 cancer types, we found 160 recurrent repeat expansions (rREs); most of these (155/160) were subtype specific. We found that rREs were non-uniformly distributed in the genome with an enrichment near candidate cis-regulatory elements, suggesting a role in gene regulation. One rRE located near a regulatory element in the first intron of UGT2B7 was detected in 34% of renal cell carcinoma samples and was validated by long-read DNA sequencing. Moreover, targeting cells harboring this rRE with a rationally designed, sequence-specific DNA binder led to a dose-dependent decrease in cell proliferation. Overall, our results demonstrate that rREs are an important but unexplored source of genetic variation in human cancers, and we provide a comprehensive catalog for further study.

genomics↗

bioRxiv2022

Deciphering the Evolutionary History of Complex Rearrangements in Head and Neck Cancer Patients Using Multi-Omic Approach

Despite the large efforts in international cancer genome consortium studies, there are still a large proportion of tumors with complex genomic rearrangement often remained without a clinically relevant molecular characterization. Integration of multi-omic data helps elucidating evolutionary history of such cases and identifying predictive molecular markers. Here we present the findings of our proof-of-principle study that investigated the evolutionary history of complex rearrangements in primary head and neck tumor genomes integrating long-read whole-genome, Hi-C, and RNA sequencing. We report a HPV-positive case with development of complex genomic rearrangements tracing back to HPV-mediated genomic instability and a HPV-negative case with an enhancer hi-jacking in a region of chromothripsis predicted to co-occur with a neoloop and a super-enhancer. These structural alterations resulted in overexpression of the oncogenes CCND1 and ALK, respectively, validated with immunohistochemistry assay. Furthermore, we introduce a novel analytic approach utilizing long-read whole-genome data distinguishing somatic mutations before and after structural variants. Our findings highlight the need for multi-modal sequencing strategies to increase our understanding of cancer evolution and rare biomarkers in poorly understood cancers.

genomics↗

bioRxiv2022

Bernstein polynomial approximation of fixation probability in finite population evolutionary games

We use the Bernstein polynomials of degree d as the basis for constructing a uniform approximation to the rate of evolution (related to the fixation probability) of a species in a two-component finite-population frequency-dependent evolutionary game setting. The approximation is valid over the full range 0 [≤] w [≤] 1, where w is the selection pressure parameter, and converges uniformly to the exact solution as d [->] {infty}. We compare it to a widely used non-uniform approximation formula in the weak-selection limit (w [~] 0) as well as numerically computed values of the exact solution. Because of a boundary layer that occurs in the weak-selection limit, the Bernstein polynomial method is more efficient at approximating the rate of evolution in the strong selection region (w [~] 1) (requiring the use of fewer modes to obtain the same level of accuracy) than in the weak selection regime.

evolutionary biology↗

bioRxiv2022

A Tale of Two Trees: Modeling Apical and Basal Tree Contribution to L2/3 V1 Pyramidal Cell Orientation Selectivity

Pyramidal neurons, a mainstay of cortical regions, receive a plethora of inputs from various areas onto their morphologically distinct apical and basal trees. Both trees differentially contribute to the somatic response, defining distinct anatomical and possibly functional sub-units. To elucidate the contribution of each tree to the encoding of visual stimuli at the somatic level, we modeled the response pattern of a L2/3 V1 pyramidal neuron to orientation tuned synaptic input. Towards this goal, we used a morphologically detailed computational model of a single cell that replicates electrophysiological and two-photon imaging data. Our simulations predict a synergistic effect of apical and basal trees on somatic action potential generation: basal tree activity, in the form of either depolarization or dendritic spiking, is necessary for producing somatic activity, despite the fact that most somatic spikes are heavily driven by apical dendritic spikes. This model provides evidence for synergistic computations taking place in the basal and apical trees of the L2/3 V1 neuron along with mechanistic explanations for tree-specific contributions and emphasizes the potential role of predictive and attentional feedback input in these cells. O_FIG O_LINKSMALLFIG WIDTH=181 HEIGHT=200 SRC="FIGDIR/small/501858v2_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@1b69239org.highwire.dtl.DTLVardef@13a0a32org.highwire.dtl.DTLVardef@1738a7corg.highwire.dtl.DTLVardef@88e826_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOAbstract FigureC_FLOATNO Graphical Representation of AP Generation in a L2/3 V1 Pyramidal Neuron Model Action potential generation requires the spatiotemporal coincidence of apical sodium spikes with either basal sodium spikes or significant basal depolarizations, allowing the neuron to respond to salient stimuli that may or may not be affected by attentional and/or predictive signals from higher-order areas. C_FIG

neuroscience↗

bioRxiv2022

PERIOD phosphorylation leads to feedback inhibition of CK1 activity to control circadian period

PERIOD (PER) and Casein Kinase 1{delta} regulate circadian rhythms through a phosphoswitch that controls PER stability and repressive activity in the molecular clock. CK1{delta} phosphorylation of the Familial Advanced Sleep Phase (FASP) serine cluster embedded within the Casein Kinase 1 binding domain (CK1BD) of mammalian PER1/2 inhibits its activity on phosphodegrons to stabilize PER and extend circadian period. Here, we show that the phosphorylated FASP region (pFASP) of PER2 directly interacts with and inhibits CK1{delta}. Co-crystal structures in conjunction with accelerated molecular dynamics simulations reveal how pFASP phosphoserines dock into conserved anion binding sites near the active site of CK1{delta}. Limiting phosphorylation of the FASP serine cluster reduces product inhibition, decreasing PER2 stability and shortens circadian period in human cells. We found that Drosophila PER also regulates CK1{delta} via feedback inhibition through the phosphorylated PER-Short domain, revealing a conserved mechanism by which PER phosphorylation near the CK1BD regulates CK1 kinase activity.

biochemistry↗

bioRxiv2022

Endogenous circadian reporter cell lines as an efficient platform for studying circadian mechanisms

Adverse consequences from having a faulty circadian clock include compromised sleep quality and poor performance in the short-term, and metabolic diseases and cancer in the long- term. However, our understanding of circadian disorders is limited by the incompleteness of our molecular models and our dearth of defined mutant models. Because it would be prohibitively expensive to develop live animal models to study the full range of complicated clock mechanisms, we developed Per1-luc and Per2-luc endogenous circadian reporters in a validated clock cell model, U2OS, where the genome can be easily manipulated, and functional consequences of mutations can be accurately studied. Using these reporter cells, we uncovered critical differences between two paralogs of Per and Cry, as well as working principles of the circadian phosphotimer. Our system can be used as an efficient platform to study circadian sleep disorders such as Familial Advanced Sleep Phase Syndrome (FASPS) and their underlying molecular mechanisms.

cell biology↗

bioRxiv2022

Inhibition of Fas Receptor Endocytosis Sensitizes Cancer Cells to Fas-induced Apoptosis

The transmembrane death receptor Fas transduces apoptotic signals upon binding its ligand, FasL. Although Fas is highly expressed in cancer cells, insufficient cell surface Fas expression desensitizes cancer cells to Fas-induced apoptosis. Here, we show that the increase in Fas microaggregate formation on the plasma membrane in response to the inhibition of endocytosis sensitizes cancer cells to Fas-induced apoptosis. We used a clinically accessible Rho-kinase inhibitor, fasudil, that reduces endocytosis dynamics by increasing plasma membrane tension. In combination with exogenous soluble FasL (sFasL), fasudil promoted cancer cell apoptosis, but this collaborative effect was substantially weaker in nonmalignant cells. The combination of sFasL and fasudil prevented glioblastoma cell growth in embryonic stem cell-derived brain organoids and induced tumor regression in a xenograft mouse model. Our results demonstrate that sFasL has strong potential for apoptosis-directed cancer therapy when Fas microaggregate formation is augmented by mechano-inhibition of endocytosis.

cancer biology↗

bioRxiv2022

Stochastic competitive release and adaptive chemotherapy

We develop a finite-cell model of tumor natural selection dynamics to investigate the stochastic fluctuations associated with multiple rounds of adaptive chemotherapy. The adaptive cycles are designed to avoid chemo-resistance in the tumor by managing the ecological mechanism of competitive release of a resistant sub-population. Our model is based on a three-component evolutionary game played among healthy (H), sensitive (S), and resistant (R) populations of N cells, with a chemotherapy control parameter, C(t), used to dynamically impose selection pressure on the sensitive sub-population to slow tumor growth but manage competitive release of the resistant population. The adaptive chemo-schedule is designed based on the deterministic (N [->] {infty}) adjusted replicator dynamical system, then implemented using the finite-cell stochastic frequency dependent Moran process model (N = 10K - 50K) to ascertain the size and variations of the stochastic fluctuations associated with the adaptive schedules. We quantify the stochastic fixation probability regions of the R and S populations in the HSR tri-linear phase plane as a function of the control parameter C [isin] [0, 1], showing that the size of the R region increases with increasing C. We then implement an adaptive time-dependent schedule C(t) for the stochastic model and quantify the variances (using principal component coordinates) associated with the evolutionary cycles for multiple rounds of adaptive therapy, showing they grow according to power-law scaling. The simplified low-dimensional model provides some insights on how well multiple rounds of adaptive therapies are likely to perform over a range of tumor sizes if the goal is to maintain a sustained balance among competing sub-populations of cells so as to avoid chemo-resistance via competitive release in a stochastic environment.

cancer biology↗

bioRxiv2022

Variable Number Tandem Repeats (VNTRs) as modifiers of breast cancer risk in carriers of BRCA1 185delAG

Despite substantial efforts in identifying both rare and common variants affecting disease risk, in the majority of diseases, a large proportion of unexplained genetic risk remains. We propose that variable number tandem repeats (VNTRs) may explain a proportion of the missing genetic risk. Herein, we tested whether VNTRs are causal modifiers of breast cancer risk in 347 female carriers of BRCA1 185delAG, an important group given their high risk of developing breast cancer. We performed targeted-capture to sequence VNTRs, called genotypes with adVNTR, and tested the association of VNTRs and breast cancer risk using Cox regression models. Of 303 VNTRs that passed quality control checks, 4 VNTRs were significantly associated with risk to develop breast cancer at false discovery rate [FDR] < 0.05 and an additional 4 VNTRs had FDR < 0.25. After determining the specific risk alleles, there was a significantly earlier age at development of breast cancer in carriers of the risk genotypes compared to those without the risk genotypes for seven of eight VNTRs. Results from this first systematic study of VNTRs demonstrate that VNTRs may explain a proportion of the unexplained genetic risk for disease and have larger effects than SNPs.

cancer biology↗

bioRxiv2022

Neurocomputational principles underlying the number sense

Many species of animals exhibit an intuitive sense of number, suggesting a fundamental neural mechanism for representing numerosity in a visual scene. Recent empirical studies demonstrate that early feedforward visual responses are sensitive to numerosity of a dot array but not to continuous dimensions orthogonal to numerosity, such as size and spacing of the dots. However, the mechanisms that extract numerosity are unknown. Here we identified the core neurocomputational principles underlying these effects: (1) center-surround contrast filters; (2) at different spatial scales; with (3) divisive normalization across network units. In an untrained computational model, these principles eliminated sensitivity to size and spacing, making numerosity the main determinant of the neuronal response magnitude. Moreover, a model implementation of these principles explained both well-known and relatively novel illusions of numerosity perception across space and time. This supports the conclusion that the neural structures and feedforward processes that encode numerosity naturally produce visual illusions of numerosity. Together, these results identify a set of neurocomputational properties that gives rise to the ubiquity of the number sense in the animal kingdom.

neuroscience↗

bioRxiv2022

Weakly supervised deep learning for human breast cancer-related optical biomarker discovery in label-free virtual histopathology

With the latest advancements in optical bioimaging, rich structural and functional information has been generated from biological samples, which calls for capable computational tools to identify patterns and uncover relationships between optical characteristics and various biomedical conditions. Constrained by the existing knowledge of the novel signals obtained by those bioimaging techniques, precise and accurate ground truth annotations can be difficult to obtain. Here we present a weakly supervised Deep Learning framework for optical signature discovery based on inexact and incomplete supervision. The framework consists of a Multiple Instance Learning-based classifier for the identification of regions of interest in coarsely labeled images, and model interpretation techniques for optical signature discovery. We applied this framework to investigate human breast cancer-related optical signatures based on virtual histopathology enabled by simultaneous label-free autofluorescence multiharmonic microscopy (SLAM), with the goal to explore unconventional cancer-related optical signatures from normal-appearing breast tissues. The framework has achieved an average area under the curve (AUC) of 0.975 on the cancer diagnosis task. In addition to well-known cancer biomarkers, non-obvious cancer-related patterns were revealed by the framework, including NAD(P)H-rich extracellular vesicles observed in normal-appearing breast cancer tissue, which facilitate new insights into the tumor microenvironment and field cancerization. This framework can be further extended to diverse imaging modalities and optical signature discovery tasks.

bioinformatics↗

bioRxiv2022

KDM4A promotes NEPC progression through regulation of MYC expression

Neuroendocrine prostate cancer (NEPC) represents one of the most lethal forms of prostate cancer (PCa) and lacks life-prolonging treatment. The incidence of NEPC is increased due to the widespread use of AR pathway inhibitors (ARPIs) in the treatment of non-metastatic CRPC and hormone-sensitive metastatic tumors. Here, we identified histone lysine demethylase KDM4A as a key player in NEPC progression and an effective therapeutic target. We found that KDM4A mRNA and protein are overexpressed in human and mouse NEPC compared to prostate adenocarcinoma. Knockdown (KD) or knockout (KO) of KDM4A in NEPC cell lines suppressed cancer cell growth in vitro and in vivo. Mechanistically, we found that KDM4A promotes NEPC progression, in part, through direct transcriptional regulation of MYC. We showed that MYC is hyper-activated in human and mouse NEPC. KDM4A KD led to suppression of MYC signaling. MYC KD or inhibition profoundly suppressed NEPC cell proliferation. Furthermore, a potent pan-KDM4 inhibitor QC6352 significantly reduced NEPC cell growth in vitro and in vivo. Taken together, we demonstrated that KDM4A is an important regulator of NEPC progression and targeting KDM4A may potentially be an effective therapeutic strategy for NEPC. SignificanceNeuroendocrine prostate cancer (NEPC) is a highly aggressive prostate cancer subtype that is resistant to potent androgen receptor pathway inhibitors (ARPIs) and currently lacks effective therapeutic options. Histone lysine demethylase KDM4A is an important epigenetic regulator of gene expression in development and cancer. In this study, we show that KDM4A is highly expressed in NEPC and is required for NEPC proliferation, anchorage-independent growth, and in vivo growth, which is in part mediated through the regulation of MYC expression. Importantly, we demonstrate that inhibition of KDM4A significantly impairs NEPC growth in preclinical models. Thus, our findings provide valuable insights into the molecular mechanisms underlying NEPC progression and offer a rationale for clinical trials with KDM4 inhibitor in NEPC patients.

cancer biology↗

bioRxiv2022

MYC Overexpression Drives Immune Evasion in Human Cancer that is Reversible Through Restoration of Pro-Inflammatory Macrophages

Cancers evade immune surveillance that in some, but not in many, cases can be reversed through immune checkpoint therapy. Here we report that the MYC oncogene suppresses immune surveillance, activates immune checkpoint expression, and predicts responsiveness to immune checkpoint inhibition. First, when MYC is genomically amplified and overexpressed in 33 different human cancers, this increases immune checkpoint expression, drives immune checkpoint therapeutic resistance, and is associated with both Th2-like immune profile, and reduced CD8 T cell infiltration. Second, experimentally, MYC-driven tumors suppress pro-inflammatory antigen-presenting macrophages with increased CD40 and MHCII expression, which in turn impedes T cell response. This MYC-driven suppression of macrophages can be reversed by combined but not individual blockade of PDL1 and CTLA4. Third, the depletion of macrophages abrogated the anti-neoplastic effects of PDL1 and CTLA4 blockade. Hence, MYC is a predictor of immune checkpoint responsiveness and a key driver of immune evasion through the suppression of pro-inflammatory macrophages. The immune evasion by MYC can be overcome by combined PDL1 and CTLA4 blockade. Statement of SignificanceMYC is the most commonly activated oncogene in human cancers. In this study, we identify macrophage-mediated immune evasion as a major therapeutic vulnerability of MYC-driven cancers. Our results have implications for developing effective immunotherapies for MYC-driven human cancers and also for prioritizing patients with MYC-driven tumors for combination immunotherapy.

cancer biology↗

bioRxiv2022

Scaled-expansion of the membrane associated cytoskeleton requires conserved kinesin adaptors

A periodic lattice of actin rings and spectrin tetramers scaffolds the axonal membrane. How spectrin is delivered to this structure to scale its size to that of the growing axon is unknown. We found that endogenous spectrin, visualized with singe axon resolution in vivo, is delivered to hotspots in the lattice that support its expansion at rates set by axon stretch-growth. Unlike other cytoskeletal proteins, whose apparent slow movement consists of intermittent bouts of fast movements, spectrin moves slowly and processively. We identified a pair of coiled coil proteins that mediate this slow movement and the expansion of the lattice by linking spectrin to kinesin-1. Thus, processive slow transport and local lattice incorporation support scaled cytoskeletal expansion during axon stretch-growth. One-Sentence SummaryKinesin adaptors control spectrin transport and expansion of the membrane periodic skeleton.

cell biology↗

bioRxiv2022

Plasma miRNA-214 is a predictive candidate biomarker of progression speed in patients with ALS

This study was designed to develop and validate a reliable biomarker to predict the progression speed reflecting immune function of amyotrophic lateral sclerosis (ALS). After establishing the induced microglia model (iMGs) derived from peripheral blood monocytes, comparative studies to find factors related to phagocytic differences between iMGs of patients with rapidly progressive ALS [ALS(R)-iMGs, n = 15] and those of patients with slowly progressive ALS [ALS(S)-iMGs, n = 14] were conducted in the discovery cohort. To validate discovered candidate and whether it could be used as a reliable biomarker predicting the progression speed of ALS, we recruited 132 patients with ALS and 30 age-matched healthy controls as the validation cohort. ALS(R)-iMGs showed impaired phagocytic function. Transcriptomic analysis revealed that the perturbed phagocytosis in ALS(R)-iMGs was related to the decreased expression of NCKAP1 (NCK-associated protein 1) and NCKAP1 overexpression rescued the impaired phagocytic function. miRNA-214-3p targeting NCKAP1 in ALS-iMGs was correlated with progression speed in the discovery cohort. The validation cohort revealed that plasma miRNA-214-3p levels were significantly increased in ALS patients (p < 0.0001, AUC = 0.839), correlated with disease progression speed (p = 0.0005), and distinguished the rapidly progressive subgroup (Q1) from the slowly progressive (Q4, p = 0.029), respectively. Plasma miRNA-214-3p can predict the progression speed in ALS. Plasma miRNA-214-3p could be used as a simple and easily accessible biomarker for predicting the future progression speed related to phagocytic dysfunction in ALS patients.

neuroscience↗