Biology subjects

Kim, T. H.

Publications and source records attributed to Kim, T. H..

15 recordsLinked to original sources

bioRxiv2026

Acute head shaking precedes chronic corpus callosum deficits during repeated cocaine exposure in common marmosets

Background: Stimulant exposure can induce acute stereotyped behaviors and chronic alterations in brain connectivity and white matter integrity. However, the temporal sequence and molecular changes linking these cocaine-induced phenotypes remain unclear. Methods: We combined LabGym-based behavioral analysis, longitudinal brain imaging, and cross-species molecular analysis in 11 common marmosets (Callithrix jacchus; seven male, four female): four underwent behavioral and imaging studies, six provided molecular data, and one provided immunohistochemical data. Male Cryab knockout and wild-type mice underwent functional studies. Results: Acute cocaine (5 mg/kg, intraperitoneally) induced rapid, repetitive lateral head movements, defined as head shaking. After 1 and 10 months of repeated exposure, resting-state functional connectivity was altered in sensory, parietal, prefrontal, motor, and hippocampal regions. Changes were detected at 1 month, whereas diffusion tensor imaging showed reduced fractional anisotropy and axial diffusivity in the corpus callosum splenium at 10 months, with no significant genu changes. Cross-species transcriptomic and proteomic comparison identified DPYSL2 and DNM3 as shared axon-associated molecules. Western blotting showed reduced DPYSL2 in brain tissue from cocaine-treated marmosets. CRYAB localized to O4-positive callosal oligodendrocytes and increased following chronic cocaine exposure. Cryab knockout mice had reduced corpus callosum thickness, increased forced-swim immobility, and reduced open-field distance traveled, supporting a role for CRYAB in corpus callosum integrity and depression-related behavior. Conclusions: These findings show that acute cocaine-induced stereotyped head shaking precedes functional connectivity changes and later corpus callosum deficits. Reduced DPYSL2 may be associated with axonal dysfunction, whereas increased CRYAB may represent a response to cocaine-induced white matter stress.

pharmacology and toxicology↗

bioRxiv2026

Restoration of circulating 2-arachidonoylglycerol levels attenuates cocaine self-administration through endocannabinoid-dopamine interactions in common marmosets

To date, no pharmacotherapy has been approved for cocaine use disorder. Endocannabinoid signaling is closely related to dopamine-dependent reinforcement and may regulate cocaine-related behaviors. In this study, we used common marmosets (Callithrix jacchus) to investigate whether 2-arachidonoylglycerol (2-AG), an endogenous cannabinoid lipid, reduces cocaine reinforcement in a non-restraint oral self-administration model. Marmosets performed oral cocaine self-administration under a fixed-ratio 1 schedule, and cocaine intake was confirmed using plasma benzoylecgonine detection. Dopamine transporter (DAT)-related positron emission tomography (PET) signal, DAT and G protein-coupled receptor 55 (GPR55)-associated fluorescent signals, GPR55/DAT immunofluorescence, and synaptosomal dopamine responses were assessed using 18F-N-(3-fluoropropyl)-2{beta}-carboxymethoxy-3{beta}-(4-iodophenyl) nortropane (18F-FP-CIT) PET imaging, ex vivo fluorescent ligand imaging, confocal microscopy, and dopamine quantification. Marmosets acquired oral cocaine self-administration with preferential active lever responding. Repeated cocaine self-administration reduced striatal DAT-related 18F-FP-CIT PET signal in vivo. In striatal slices, cocaine decreased fluorescent false neurotransmitter (FFN102)-associated DAT signal and increased T1117-associated GPR55 signal. Systemic 2-AG pretreatment reduced cocaine self-administration while restoring diminished circulating 2-AG levels. GPR55 and DAT immunofluorescent signals were colocalized in marmoset brain sections, and 2-AG enhanced cocaine-induced dopamine elevation in synaptosomal preparations. Taken together, these findings suggest that 2-AG attenuates cocaine-taking behavior and may be associated with GPR55/DAT-related dopaminergic responses in common marmosets.

pharmacology and toxicology↗

bioRxiv2025

Extracting task-relevant preserved dynamics from contrastive aligned neural recordings

Recent work indicates that low-dimensional dynamics of neural and behavioral data are often preserved across days and subjects. However, extracting these preserved dynamics remains challenging: high-dimensional neural population activity and the recorded neuron populations vary across recording sessions. While existing modeling tools can improve alignment between neural and behavioral data, they often operate on a per-subject basis or discretize behavior into categories, disrupting its natural continuity and failing to capture the underlying dynamics. We introduce Contrastive Aligned Neural DYnamics (CANDY), an end-to-end framework that aligns neural and behavioral data using rank-based contrastive learning, adapted for continuous behavioral variables, to project neural activity from different sessions onto a shared low-dimensional embedding space. CANDY fits a shared linear dynamical system to the aligned embeddings, enabling an interpretable model of the conserved temporal structure in the latent space. We validate CANDY on synthetic and real-world datasets spanning multiple species, behaviors, and recording modalities. Our results show that CANDY is able to learn aligned latent embeddings and preserved dynamics across neural recording sessions and subjects, and it achieves improved cross-session behavior decoding performance. We further show that the latent linear dynamical system generalizes to new sessions and subjects, achieving comparable or even superior behavior decoding performance to models trained from scratch. These advances enable robust cross-session behavioral decoding and offer a path towards identifying shared neural dynamics that underlie behavior across individuals and recording conditions. The code and two-photon imaging data of striatal neural activity that we acquired here are available at https://github.com/schnitzer-lab/CANDY-public.git.

neuroscience↗

bioRxiv2025

Targeting FSP1 triggers ferroptosis in lung cancer

Pre-clinical and clinical studies have demonstrated how dietary antioxidants or mutations activating antioxidant metabolism promote cancer, highlighting a central role oxidative stress in tumorigenesis. However, it is unclear if oxidative stress ultimately increases to a point of cell death. Emerging evidence indicates that cancer cells are susceptible to ferroptosis, a form of cell death triggered by uncontrolled lipid peroxidation1-3. Despite broad enthusiasm about harnessing ferroptosis as a novel anti-cancer strategy, whether ferroptosis is a barrier to tumorigenesis and if it can be leveraged therapeutically remains unknown4,5. Using genetically-engineered mouse models (GEMMs) of lung adenocarcinoma (LUAD), we performed tumor specific loss-of-function studies of the two key ferroptosis suppressors, glutathione peroxidase 4 (Gpx4)6,7 and ferroptosis suppressor protein 1 (Fsp1)8,9, and observed increased lipid peroxidation and robust suppression of tumorigenesis, suggesting that lung tumors are highly sensitive to ferroptosis. Furthermore, across multiple pre-clinical models, we found that FSP1 was required for ferroptosis protection in vivo, but not in vitro, underscoring a heightened need to buffer lipid peroxidation under physiological conditions. Lipidomic analyses revealed that Fsp1-knockout (Fsp1KO) tumors had an accumulation of lipid peroxides, and inhibition of ferroptosis with genetic, dietary, or pharmacological approaches effectively restored the growth of Fsp1KO tumors in vivo. Unlike GPX4, FSP1 expression was prognostic for disease progression and poorer survival in LUAD patients, highlighting its potential as a viable therapeutic target. To this end, we demonstrated that pharmacologic inhibition of FSP1 had significant therapeutic benefit in pre-clinical lung cancer models. Our studies highlight the importance of ferroptosis suppression in vivo and pave the way for FSP1 inhibition as a therapeutic strategy in lung cancer patients.

cancer biology↗

bioRxiv2023

G1/S Boundary Activates Interferon and Inflammatory Response Genes

Interferons (IFNs) have various roles in antiviral immunity, including curbing the immune system to prevent tissue damage and stimulating adaptive immunity. Due to its protective and destructive properties, IFN expression is tightly regulated. In contrast to its tight regulatory control, IFN expression is highly heterogeneous across many cell types upon pathogenic stimulus. The basis for this heterogenous IFN expression remains incompletely understood. Using single cell RNA-sequencing upon viral infection, we found that interferon expression is upregulated specifically in the late G1 phase of the cell cycle, and cell synchronization at the G1/S boundary boosts interferon expression. Furthermore, cell cycle arrest without any additional stimulus is sufficient to upregulate interferons and hundreds of other inflammatory response genes. Interferon upregulation at the G1/S boundary is cell type specific and not observed in non-immune cell types. Finally, we use ATAC-seq to identify potential transcription factors orchestrating this response. Together, these results uncover the cell cycle as a critical regulator of IFN expression in immune cells.

genomics↗

bioRxiv2023

Targeting the glucose-insulin link in head and neck squamous cell carcinoma induces cytotoxic oxidative stress and inhibits cancer growth

Reactive oxygen species (ROS) are a double-edge sword in cancers and can both promote pro-tumorigenic signaling and also trigger oxidative stress dependent cell death. Thus, maintaining redox homeostasis to control levels of ROS within a tumor-promoting range elicits critical tumorigenic potential in cancer. Here, we show that head and neck squamous cell carcinoma (HNSCC) is uniquely characterized by its critical dependence on heightened antioxidant capacity facilitated by elevated glucose uptake to maintain survival and proliferation. Using a basal-epithelial-layer-specific GLUT1 knockout mouse model, we establish that targeting GLUT1-mediated glucose utilization in HNSCC cells of origin robustly inhibits HNSCC progression, providing strong genetic evidence that GLUT1 is indeed a targetable metabolic vulnerability. We further demonstrate that disrupting redox homeostasis with prooxidants such as high dose vitamin C and Auranofin induces potent cytotoxicity in HNSCCs by exerting profound oxidative stress when combined with GLUT1 inhibitors. Given the central role of insulin signaling in glucose homeostasis, we additionally show that circulating insulin levels modulate metabolic and oncogenic pathways of HNSCCs, providing a new perspective on events driving and sustaining HNSCC malignancy. These results establish GLUT1 as a viable therapeutic target for HNSCC in combination with prooxidant chemotherapies and define critical dependencies in HNSCC that can be utilized with existing clinical stage drugs for the treatment of HNSCC and potentially other squamous cancers.

cancer biology↗

bioRxiv2023

Encoding and context-dependent control of reward consumption within the central nucleus of the amygdala

The ability to evaluate and select a preferred option among a variety of available offers is an essential aspect of goal-directed behavior. Dysregulation of this valuation process is characteristic of alcohol use disorder, with the central amygdala being implicated in persistent alcohol pursuit. However, the mechanism by which the central amygdala encodes and promotes the motivation to seek and consume alcohol remains unclear. We recorded single-unit activity in male Long-Evans rats as they consumed 10% ethanol or 14.2% sucrose. We observed significant activity at the time of approach to alcohol or sucrose, as well as lick-entrained activity during the ongoing consumption of both alcohol and sucrose. We then evaluated the ability of central amygdala optogenetic manipulation time-locked to consumption to alter ongoing intake of alcohol or sucrose, a preferred non-drug reward. In closed two-choice scenarios where rats could drink only sucrose, alcohol, or quinine-adulterated alcohol with or without central amygdala stimulation, rats drank more of stimulation-paired options. Microstructural analysis of licking patterns suggests these effects were mediated by changes in motivation, not palatability. Given a choice among different options, central amygdala stimulation enhanced consumption if the stimulation was associated with the preferred reward while closed-loop inhibition only decreased consumption if the options were equally valued. However, optogenetic stimulation during consumption of the less-preferred option, alcohol, was unable to enhance overall alcohol intake while sucrose was available. Collectively, these findings indicate that the central amygdala processes the motivational value of available offers to promote pursuit of the most preferred available option.

neuroscience↗

bioRxiv2023

Structural insights into γH2Ax containing nucleosomes

MDC1 is a key mediator of DNA-damage signaling. When DNA double-strand breaks (DSB) occur, the histone variant H2AX on the nucleosome is phosphorylated on its C-terminus at residue Ser139 to form the {gamma}H2AX nucleosome. This phosphorylated form is specifically recognized by the tandem BRCT repeats of MDC1. The MDC1-bound nucleosome serves as a docking platform to promote the localization of other DNA repair factors. To further characterize the nucleosome-BRCT interaction, we developed a time efficient two-step modified native chemical ligation protocol to prepare phosphorylated nucleosomes. Our binding studies show that BRCT interacts with the nucleosome with a higher affinity than the phosphorylated peptide. Using cryogenic electron microscopy (cryo-EM), we obtained structures of the {gamma}H2AX nucleosome revealing the structural basis for nucleosome-nucleosome stacking promoted by interactions of the H4 N-terminal of one nucleosome with its stacked partner. In contrast, we show that binding of the MDC1 BRCT domain disrupts this stacking, suggesting that histone/DNA dynamics are integral to DNA damage signaling.

biochemistry↗

bioRxiv2021

High-fidelity, high-spatial-resolution diffusion MRI of the ex-vivo whole human brain on the 3T Connectom scanner using structured low-rank EPI ghost correction

Diffusion MRI (dMRI) of whole, intact, fixed postmortem human brain at high spatial resolution serves as key bridging technology for 3D mapping of structural connectivity and tissue microstructure at the mesoscopic scale. Ex vivo dMRI offers superior spatial resolution compared to in vivo dMRI but comes with its own technical challenges due to the significantly reduced T2 relaxation times and decreased diffusivity incurred by tissue fixation. The altered physical properties of fixed tissue necessitate the use of alternative acquisition strategies to preserve SNR and achieve sufficient diffusion weighting. Multi-shot or segmented 3D echo planar imaging (EPI) sequences have been used to shorten echo times (TEs) with reduced distortions from field inhomogeneity and eddy currents on small-bore MR scanners and have been adopted for high b-value dMRI of ex vivo whole human brain specimens. The advent of stronger gradients on human MRI scanners has led to improved image quality and a wider range of diffusion-encoding parameters for dMRI but at the cost of more severe eddy currents that result in spatial and temporal variations in the background magnetic field, which cannot be corrected for using standard vendor-provided ghost correction solutions. In this work, we show that conventional ghost correction techniques based on navigators and linear phase correction may be insufficient for EPI sequences using strong diffusion-sensitizing gradients in ex vivo dMRI experiments, resulting in orientationally biased dMRI estimates. This previously unreported problem is a critical roadblock in any effort to leverage scanners with ultra-high gradients for high-precision mapping of human neuroanatomy at the mesoscopic scale. We propose an advanced reconstruction method based on structured low-rank matrix modeling that reduces the ghosting substantially. We show that this method leads to more accurate and reliable dMRI metrics, as exemplified by diffusion tensor imaging and high angular diffusion imaging analyses in distributed neuroanatomical areas of fixed whole human brain specimens. Our findings advocate for the use of advanced reconstruction techniques for recovering unbiased metrics from ex vivo dMRI acquisitions and represent a crucial step toward making full use of strong diffusion-encoding gradients for neuroscientific studies seeking to study brain structure at multiple spatial scales.

neuroscience↗

bioRxiv2020

An alternative miRISC targeting a coding mutation site in FOXL2 links to granulosa cell tumor

Recent evidence suggests that animal microRNAs (miRNAs) can target coding sequences (CDSs); however, the pathophysiological importance of such targeting remains unknown. Here, we show that a somatic heterozygous missense mutation (c.402C>G; p.C134W) in FOXL2, a feature shared by virtually all adult-type granulosa cell tumors (AGCTs), introduces a target site for miR-1236, which induces haploinsufficiency of the tumor-suppressor FOXL2. This miR-1236-mediated selective degradation of the variant FOXL2 mRNA is preferentially conducted by a distinct miRNA-loaded RNA-induced silencing complex (miRISC) directed by the Argonaute3 (AGO3) and DHX9 proteins. In both patients and mouse model of AGCT, the inversely regulated variant FOXL2 abundance with the miR-1236 levels was highly correlated with malignant features of AGCT. Our study provides a molecular basis for understanding the conserved FOXL2 CDS mutation-mediated etiology of AGCT, revealing the existence of a previously unidentified mechanism of miRNA-targeting disease-associated mutations in the CDS by forming a non-canonical miRISC.

cancer biology↗

bioRxiv2019

A history-derived reward prediction error signal in ventral pallidum

Learning from past interactions with the environment is critical for adaptive behavior. Within the framework of reinforcement learning, the nervous system builds expectations about future reward by computing reward prediction errors (RPEs), the difference between actual and predicted rewards. Correlates of RPEs have been observed in the midbrain dopamine system, which is thought to locally compute this important variable in service of learning. However, the extent to which RPE signals may be computed upstream of the dopamine system is largely unknown. Here, we quantify history-based RPE signals in the ventral pallidum (VP), an input region to the midbrain dopamine system implicated in reward-seeking behavior. We trained rats to associate cues with future delivery of reward and fit computational models to predict individual neuron firing rates at the time of reward delivery. We found that a subset of VP neurons encoded RPEs and did so more robustly than nucleus accumbens, an input to VP. VP RPEs predicted trial-by-trial task engagement, and optogenetic inhibition of VP reduced subsequent task-related reward seeking. Consistent with reinforcement learning, activity of VP RPE cells adapted when rewards were delivered in blocks. We further found that history- and cue-based RPEs were largely separate across the VP neural population. The presence of behaviorally-instructive RPE signals in the VP suggests a pivotal role for this region in value-based computations.

neuroscience↗

bioRxiv2019

GATA2 controls lymphatic endothelial cell junctional integrity and lymphovenous valve morphogenesis through miR-126

Mutations in the transcription factor GATA2 cause lymphedema. GATA2 is necessary for the development of lymphatic valves (LVs) and lymphovenous valves (LVVs), and for the patterning of lymphatic vessels. Here, we report that GATA2 is not necessary for valvular endothelial cell (VEC) differentiation. Instead, GATA2 is required for VEC maintenance and morphogenesis. GATA2 is also necessary for the expression of cell junction molecules VE-Cadherin and Claudin5 in lymphatic vessels. We identified miR-126 as a target of GATA2, and miR-126-/- embryos recapitulate the phenotypes of mice lacking GATA2. Primary human lymphatic endothelial cells (HLECs) lacking GATA2 (GATA2{Delta}HLEC) have altered expression of Claudin5 and VE-Cadherin, and blocking miR-126 activity in HLECs phenocopies these changes in expression. Importantly, overexpression of miR-126 in GATA2{Delta}HLEC significantly rescues the cell junction defects. Thus, our work defines a new mechanism of GATA2 and uncovers miR-126 as a novel regulator of mammalian lymphatic vascular development.\n\nNon-standard abbreviationsLECs, lymphatic endothelial cells; LVs, lymphatic valves; LV-ECs, lymphatic valve-forming endothelial cells; LVVs, lymphovenous valves; LVV-ECs, lymphovenous valve-forming endothelial cells; HLEC, primary human LECs; OSS, Oscillatory shear stress; IHC, immunohistochemistry.

developmental biology↗

bioRxiv2018

Right hemisphere superiority for executive control of attention

Over forty years have passed since the first evidence showing the unbalanced attentional allocation of humans across the two visual fields, and since then, a wealth of behavioral, neurophysiological, and clinical data increasingly showed a right hemisphere dominance for orienting of attention. However, inconsistent evidence exists regarding the right-hemisphere dominance for executive control of attention, possibly due to a lack of consideration of its dynamics with the alerting and orienting functions. In this study, we used a version of the Attentional Network Test with lateralized presentation of the stimuli to the left visual field (processed by the right hemisphere, RH) and right visual field (processed by the left hemisphere, LH) to examine visual field differences in executive control of attention under conditions of alerting or orienting. Analyses of behavioral performance (reaction time and error rate) showed a more efficient executive control (reduced conflict effect) in the RH compared to the LH for the reaction time, under conditions of increased alerting and of informative spatial orienting. These results demonstrate the right-hemisphere superiority for executive control, and that this effect depends on the activation of the alerting and orienting functions.

neuroscience↗

bioRxiv2017

Unsupervised discovery of demixed, low-dimensional neural dynamics across multiple timescales through tensor components analysis

Perceptions, thoughts and actions unfold over millisecond timescales, while learned behaviors can require many days to mature. While recent experimental advances enable large-scale and long-term neural recordings with high temporal fidelity, it remains a formidable challenge to extract unbiased and interpretable descriptions of how rapid single-trial circuit dynamics change slowly over many trials to mediate learning. We demonstrate a simple tensor components analysis (TCA) can meet this challenge by extracting three interconnected low dimensional descriptions of neural data: neuron factors, reflecting cell assemblies; temporal factors, reflecting rapid circuit dynamics mediating perceptions, thoughts, and actions within each trial; and trial factors, describing both long-term learning and trial-to-trial changes in cognitive state. We demonstrate the broad applicability of TCA by revealing insights into diverse datasets derived from artificial neural networks, large-scale calcium imaging of rodent prefrontal cortex during maze navigation, and multielectrode recordings of macaque motor cortex during brain machine interface learning.

neuroscience↗

bioRxiv2017

Comparative transcriptome profiling of the human and mouse dorsal root ganglia: An RNA-seq-based resource for pain and sensory neuroscience research

Molecular neurobiological insight into human nervous tissues is needed to generate next generation therapeutics for neurological disorders like chronic pain. We obtained human Dorsal Root Ganglia (DRG) samples from organ donors and performed RNA-sequencing (RNA-seq) to study the human DRG (hDRG) transcriptional landscape, systematically comparing it with publicly available data from a variety of human and orthologous mouse tissues, including mouse DRG (mDRG). We characterized the hDRG transcriptional profile in terms of tissue-restricted gene co-expression patterns and putative transcriptional regulators, and formulated an information-theoretic framework to quantify DRG enrichment. Our analyses reveal an hDRG-enriched protein-coding gene set (~140), some of which have not been described in the context of DRG or pain signaling. A majority of these show conserved enrichment in mDRG, and were mined for known drug - gene product interactions. Comparison of hDRG and tibial nerve transcriptomes suggest pervasive mRNA transport of sensory neuronal genes to axons in adult hDRG, with potential implications for mechanistic insight into chronic pain in patients. Relevant gene families and pathways were also analyzed, including transcription factors (TFs), g-protein coupled receptors (GCPRs) and ion channels. We present our work as an online, searchable repository (http://www.utdallas.edu/bbs/painneurosciencelab/DRGtranscriptome), creating a valuable resource for the community. Our analyses provide insight into DRG biology for guiding development of novel therapeutics, and a blueprint for cross-species transcriptomic analyses.\n\nSummaryWe generated RNA sequencing data from human DRG samples and comprehensively compared this transcriptome to other human tissues and a matching panel of mouse tissues. Our analysis uncovered functionally enriched genes in the human and mouse DRG with important implications for understanding sensory biology and pain drug discovery.

neuroscience↗