1.Machine-Learning Based Automatic and Real-time Detection of Mouse Scratching Behaviors
Ingyu PARK ; Kyeongho LEE ; Kausik BISHAYEE ; Hong Jin JEON ; Hyosang LEE ; Unjoo LEE
Experimental Neurobiology 2019;28(1):54-61
Scratching is a main behavioral response accompanied by acute and chronic itch conditions, and has been quantified as an objective correlate to assess itch in studies using laboratory animals. Scratching has been counted mostly by human annotators, which is a time-consuming and laborious process. It has been attempted to develop automated scoring methods using various strategies, but they often require specialized equipment, costly software, or implantation of device which may disturb animal behaviors. To complement limitations of those methods, we have adapted machine learning-based strategy to develop a novel automated and real-time method detecting mouse scratching from experimental movies captured using monochrome cameras such as a webcam. Scratching is identified by characteristic changes in pixels, body position, and body size by frame as well as the size of body. To build a training model, a novel two-step J48 decision tree-inducing algorithm along with a C4.5 post-pruning algorithm was applied to three 30-min video recordings in which a mouse exhibits scratching following an intradermal injection of a pruritogen, and the resultant frames were then used for the next round of training. The trained method exhibited, on average, a sensitivity and specificity of 95.19% and 92.96%, respectively, in a performance test with five new recordings. This result suggests that it can be used as a non-invasive, automated and objective tool to measure mouse scratching from video recordings captured in general experimental settings, permitting rapid and accurate analysis of scratching for preclinical studies and high throughput drug screening.
Animals
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Animals, Laboratory
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Behavior, Animal
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Body Size
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Complement System Proteins
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Decision Trees
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Drug Evaluation, Preclinical
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Humans
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Injections, Intradermal
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Machine Learning
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Methods
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Mice
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Motion Pictures as Topic
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Pruritus
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Research Design
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Sensitivity and Specificity
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Video Recording
2.Draft Genome of Toxocara canis, a Pathogen Responsible for Visceral Larva Migrans.
Jinhwa KONG ; Jungim WON ; Jeehee YOON ; UnJoo LEE ; Jong Il KIM ; Sun HUH
The Korean Journal of Parasitology 2016;54(6):751-758
This study aimed at constructing a draft genome of the adult female worm Toxocara canis using next-generation sequencing (NGS) and de novo assembly, as well as to find new genes after annotation using functional genomics tools. Using an NGS machine, we produced DNA read data of T. canis. The de novo assembly of the read data was performed using SOAPdenovo. RNA read data were assembled using Trinity. Structural annotation, homology search, functional annotation, classification of protein domains, and KEGG pathway analysis were carried out. Besides them, recently developed tools such as MAKER, PASA, Evidence Modeler, and Blast2GO were used. The scaffold DNA was obtained, the N50 was 108,950 bp, and the overall length was 341,776,187 bp. The N50 of the transcriptome was 940 bp, and its length was 53,046,952 bp. The GC content of the entire genome was 39.3%. The total number of genes was 20,178, and the total number of protein sequences was 22,358. Of the 22,358 protein sequences, 4,992 were newly observed in T. canis. Following proteins previously unknown were found: E3 ubiquitin-protein ligase cbl-b and antigen T-cell receptor, zeta chain for T-cell and B-cell regulation; endoprotease bli-4 for cuticle metabolism; mucin 12Ea and polymorphic mucin variant C6/1/40r2.1 for mucin production; tropomodulin-family protein and ryanodine receptor calcium release channels for muscle movement. We were able to find new hypothetical polypeptides sequences unique to T. canis, and the findings of this study are capable of serving as a basis for extending our biological understanding of T. canis.
Adult
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B-Lymphocytes
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Base Composition
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Classification
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DNA
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Female
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Genome*
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Genomics
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Humans
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Larva Migrans, Visceral*
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Metabolism
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Mucins
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Peptides
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Protein Structure, Tertiary
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Receptors, Antigen, T-Cell
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RNA
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Ryanodine Receptor Calcium Release Channel
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T-Lymphocytes
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Toxocara canis*
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Toxocara*
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Transcriptome
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Ubiquitin-Protein Ligases
3.Celiac Disease in a Predisposed Subject (HLA-DQ2.5) with Coexisting Graves' Disease.
In Kyoung HWANG ; Seon Hye KIM ; Unjoo LEE ; Sang Ouk CHIN ; Sang Youl RHEE ; Seungjoon OH ; Jeong Taek WOO ; Sung Woon KIM ; Young Seol KIM ; Suk CHON
Endocrinology and Metabolism 2015;30(1):105-109
Celiac disease is an intestinal autoimmune disorder, triggered by ingestion of a gluten-containing diet in genetically susceptible individuals. The genetic predisposition is related to human leukocyte antigen (HLA) class II genes, especially HLA-DQ2-positive patients. The prevalence of celiac disease has been estimated to be ~1% in Europe and the USA, but it is rarer and/or underdiagnosed in Asia. We report a case of celiac disease in a predisposed patient, with a HLA-DQ2 heterodimer, and Graves' disease that was treated successfully with a gluten-free diet. A 47-year-old woman complained of persistent chronic diarrhea and weight loss over a 9 month period. Results of all serological tests and stool exams were negative. However, the patient was found to carry the HLA DQ2 heterodimer. Symptoms improved after a gluten-free diet was initiated. The patient has been followed and has suffered no recurrence of symptoms while on the gluten-free diet. An overall diagnosis of celiac disease was made in a genetically predisposed patient (HLA-DQ2 heterodimer) with Graves' disease.
Asia
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Celiac Disease*
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Diagnosis
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Diarrhea
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Diet
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Diet, Gluten-Free
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Eating
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Europe
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Female
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Genes, MHC Class II
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Genetic Predisposition to Disease
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Graves Disease*
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Humans
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Leukocytes
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Middle Aged
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Prevalence
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Recurrence
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Serologic Tests
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Weight Loss
4.Species Specific Antiviral Activity of Porcine Interferon-α8 (IFNα8).
Eunhye KIM ; Hyunjhung JHUN ; Joohee KIM ; Unjoo PARK ; Seunghyun JO ; Areum KWAK ; Sinae KIM ; Tam T. NGUYEN ; Yongsun KANG ; Insoo CHOI ; Joongbok LEE ; Heijun KIM ; Younghyun KIM ; Siyoung LEE ; Soohyun KIM
Immune Network 2017;17(6):424-436
Interferons (IFNs) have been known as antiviral genes and they are classified by type 1, type 2, and type 3 IFN. The type 1 IFN consists of IFNα, IFNβ, IFNτ, and IFNω whereas the type 2 IFN consists of only IFNγ, which is a key cytokine driving T helper cell type 1 immunity. IFNλ belongs to the type 3 IFN, which is also known as IL-28 and IL-29 possessing antiviral activities. Type 1 IFN is produced by viral infection whereas type 2 IFN is induced by mitogenic or antigenic T-cell stimuli. The IFNτ of bovine was first discovered in an ungulate ruminant recognition hormone. IFNτ belongs to the type 1 IFN with the common feature of type 1 IFN such as antiviral activity. IFNs have been mostly studied for basic research and clinical usages therefore there was no effort to investigate IFNs in industrial animals. Here we cloned porcine IFNα8 from peripheral blood mononuclear cells of Korean domestic pig (Sus scrofa domestica). The newly cloned IFNα8 amino acid sequence from Korean domestic pig shares 98.4% identity with the known porcine IFNα8 in databank. The recombinant porcine IFNα8 showed potent antiviral activity and protected bovine Madin-Darby bovine kidney epithelial (MDBK) cells from the cytopathic effect of vesicular stomatitis virus, but it failed to protect human Wistar Institute Susan Hayflick (WISH) cells and canine Madin-Darby canine kidney epithelial-like (MDCK) cells. The present study demonstrates species specific antiviral activity of porcine IFNα8.
Amino Acid Sequence
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Animals
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Clone Cells
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Humans
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Interferons
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Kidney
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Ruminants
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Sus scrofa
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T-Lymphocytes
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T-Lymphocytes, Helper-Inducer
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Vesicular Stomatitis