Kevin G. Johnston

ORCID: 0000-0002-9381-9212
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About
Contact & Profiles
Research Areas
  • Neural dynamics and brain function
  • Single-cell and spatial transcriptomics
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Neuroscience and Neuropharmacology Research
  • Memory and Neural Mechanisms
  • Cell Image Analysis Techniques
  • Receptor Mechanisms and Signaling
  • Neurogenesis and neuroplasticity mechanisms
  • COVID-19 and Mental Health
  • Alzheimer's disease research and treatments
  • Cancer-related cognitive impairment studies
  • Inflammation biomarkers and pathways
  • Digital Mental Health Interventions
  • Long-Term Effects of COVID-19
  • RNA modifications and cancer
  • Muscle Physiology and Disorders
  • Iron Metabolism and Disorders
  • Tryptophan and brain disorders
  • Immune cells in cancer
  • Gene Regulatory Network Analysis
  • Treatment of Major Depression
  • Brain Metastases and Treatment
  • stochastic dynamics and bifurcation
  • SARS-CoV-2 detection and testing
  • RNA Research and Splicing

University of California, Irvine
2019-2024

Utah Tech University
2024

Neural communication networks form the fundamental basis for brain function. These are enabled by emitted ligands such as neurotransmitters, which activate receptor complexes to facilitate communication. Thus, neural is fundamentally dependent on transcriptome. Here we develop NeuronChat, a method and package inference, visualization analysis of neural-specific among pre-defined cell groups using single-cell expression data. We incorporate manually curated molecular interaction database...

10.1038/s41467-023-36800-w article EN cc-by Nature Communications 2023-02-28

Abstract The R47H missense mutation of the TREM2 gene is a known risk factor for development Alzheimer’s Disease. In this study, we analyze impact Trem2 on specific cell types in multiple cortical and subcortical brain regions context wild-type 5xFAD mouse background. We profile 19 sections consisting wild-type, , ; genotypes using MERFISH spatial transcriptomics, technique that enables subcellular profiling expression. Spatial transcriptomics neuropathology data are analyzed our custom...

10.1038/s41380-024-02651-0 article EN cc-by Molecular Psychiatry 2024-08-05

Abstract Subanesthetic ketamine evokes rapid antidepressant effects in human patients that persist long past ketamine’s chemical half-life of ~2 h. Ketamine’s sustained action may be due to modulation cortical plasticity. We find ameliorates depression-like behavior the forced swim test adult mice, and this depends on parvalbumin-expressing (PV) neuron-directed neuregulin-1 (NRG1)/ErbB4 signaling. Ketamine rapidly downregulates NRG1 expression PV inhibitory neurons mouse medial prefrontal...

10.1038/s41398-021-01255-4 article EN cc-by Translational Psychiatry 2021-02-24

Inhibitory interneurons are crucial to brain function and their dysfunction is implicated in neuropsychiatric conditions. Emerging evidence indicates that cholecystokinin (CCK)-expressing (CCK+) highly heterogenous. We find a large subset of parvalbumin-expressing (PV+) express CCK strongly; between 40 56% PV+ mouse hippocampal CA1 CCK. Primate also exhibit substantial PV/CCK co-expression. Mouse PV+/CCK+ PV+/CCK- cells show distinguishable electrophysiological molecular characteristics....

10.1038/s41380-023-02153-5 article EN cc-by Molecular Psychiatry 2023-07-13

Facioscapulohumeral muscular dystrophy (FSHD) is linked to abnormal derepression of the transcription activator DUX4. This effect localized a low percentage cells, requiring single-cell analysis. However, single-cell/nucleus RNA-seq cannot fully capture transcriptome multinucleated large myotubes. To circumvent these issues, we use multiplexed error-robust fluorescent in situ hybridization (MERFISH) spatial transcriptomics that allows profiling RNA transcripts at subcellular resolution. We...

10.1101/gr.278717.123 article EN cc-by-nc Genome Research 2024-05-01

A key challenge in developing diagnosis and treatments for Alzheimer's disease (AD) is to detect abnormal network activity at as early a stage possible. To date, behavioral neurophysiological investigations AD model mice have yet conduct longitudinal assessment of cellular pathology, memory deficits, correlates neuronal activity. We therefore examined the temporal relationships between activities spatial representation environments, well object location deficits across multiple stages...

10.1016/j.nbd.2022.105939 article EN cc-by-nc-nd Neurobiology of Disease 2022-12-01

In vivo calcium imaging enables simultaneous recording of large neuronal ensembles engaged in complex operations. Many experiments require monitoring and identification cell populations across multiple sessions. Population tracking sessions is complicated by non-rigid transformations induced movement field shifts. We introduce SCOUT (Single-Cell spatiOtemporal longitUdinal Tracking), a fast, robust cell-tracking method utilizing cell-cell similarity metrics, probabilistic inference, an...

10.1016/j.crmeth.2022.100207 article EN cc-by Cell Reports Methods 2022-04-29

The R47H missense mutation of the TREM2 gene is a strong risk factor for development Alzheimer's Disease. We investigate cell-type-specific spatial transcriptomic changes induced by

10.21203/rs.3.rs-3656139/v1 preprint EN cc-by Research Square (Research Square) 2023-12-07

On January 2020, the World Health Organization (WHO) declared that Coronavirus Disease (COVID-19) had become a public health emergency of international concern (PHEIC) and was assessed as pandemic in March 2020. For next 2–3 years, Americans followed stay-at-home orders, used virtual technologies, while struggling with pandemic-related stressors (1). This affected mental (2). Attention-deficit hyperactivity disorder (ADHD) symptoms increased (3), resulting an uptick ADHD prescriptions (4). A...

10.61373/bm024l.0067 article EN Brain medicine : 2024-09-24

Neural communication networks form the fundamental basis for brain function. These are enabled by emitted ligands such as neurotransmitters, which activate receptor complexes to facilitate communication. Thus, neural is fundamentally dependent on transcriptome. Here we develop NeuronChat, a method and package inference, visualization analysis of neural-specific among pre-defined cell groups using single-cell expression data. We incorporate manually curated molecular interaction database...

10.1101/2023.01.12.523826 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-01-16

Summary In vivo calcium imaging enables simultaneous recording of large neuronal ensembles while engaged in operations such as learning and memory. However, optical recordings are typically subject to motion artifact background contamination from neurons blood vessels. Further, population cell tracking across multiple is complicated by non-rigid transformation induced movements field shifts. We introduce the novel method SCOUT for Single-Cell SpatiOtemporal LongitUdinal Tracking, consisting...

10.1101/2020.08.26.268151 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-08-27

Optical imaging of genetically encoded calcium indicators is a powerful tool to record the activity large number neurons simultaneously over long period time from freely behaving animals. However, determining exact at which neuron spikes and estimating underlying firing rate fluorescence data remains challenging, especially for obtained longitudinal study. We propose multi-trial time-varying $\ell_0$ penalized method jointly detect estimate rates by robustly integrating evolving neural...

10.48550/arxiv.2103.03818 preprint EN cc-by-nc-nd arXiv (Cornell University) 2021-01-01

In vivo calcium imaging enables simultaneous recording of large neuronal ensembles engaged in complex operations. Many experiments require monitoring and identification cell populations across multiple sessions. Population tracking sessions is complicated by non-rigid transformations induced movement field shifts. We introduce SCOUT (Single-Cell SpatiOtemporal LongitUdinal Tracking), a fast, robust method utilizing cell-cell similarity metrics, probabilistic inference, an adaptive clustering...

10.2139/ssrn.3906179 article EN SSRN Electronic Journal 2021-01-01
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