• Title/Summary/Keyword: Tissue paper

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Reverting Gene Expression Pattern of Cancer into Normal-Like Using Cycle-Consistent Adversarial Network

  • Lee, Chan-hee;Ahn, TaeJin
    • International Journal of Advanced Culture Technology
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    • v.6 no.4
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    • pp.275-283
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    • 2018
  • Cancer show distinct pattern of gene expression when it is compared to normal. This difference results malignant characteristic of cancer. Many cancer drugs are targeting this difference so that it can selectively kill cancer cells. One of the recent demand for personalized treating cancer is retrieving normal tissue from a patient so that the gene expression difference between cancer and normal be assessed. However, in most clinical situation it is hard to retrieve normal tissue from a patient. This is because biopsy of normal tissues may cause damage to the organ function or a risk of infection or side effect what a patient to take. Thus, there is a challenge to estimate normal cell's gene expression where cancers are originated from without taking additional biopsy. In this paper, we propose in-silico based prediction of normal cell's gene expression from gene expression data of a tumor sample. We call this challenge as reverting the cancer into normal. We divided this challenge into two parts. The first part is making a generator that is able to fool a pretrained discriminator. Pretrained discriminator is from the training of public data (9,601 cancers, 7,240 normals) which shows 0.997 of accuracy to discriminate if a given gene expression pattern is cancer or normal. Deceiving this pretrained discriminator means our method is capable of generating very normal-like gene expression data. The second part of the challenge is to address whether generated normal is similar to true reverse form of the input cancer data. We used, cycle-consistent adversarial networks to approach our challenges, since this network is capable of translating one domain to the other while maintaining original domain's feature and at the same time adding the new domain's feature. We evaluated that, if we put cancer data into a cycle-consistent adversarial network, it could retain most of the information from the input (cancer) and at the same time change the data into normal. We also evaluated if this generated gene expression of normal tissue would be the biological reverse form of the gene expression of cancer used as an input.

Plant-Based Decellularization: A Novel Approach for Perfusion-Compatible Tissue Engineering Structures

  • Md Mehedee Hasan;Ashikur Rahman Swapon;Tazrin Islam Dipti;Yeong-Jin Choi;Hee-Gyeong Yi
    • Journal of Microbiology and Biotechnology
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    • v.34 no.5
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    • pp.1003-1016
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    • 2024
  • This study explores the potential of plant-based decellularization in regenerative medicine, a pivotal development in tissue engineering focusing on scaffold development, modification, and vascularization. Plant decellularization involves removing cellular components from plant structures, offering an eco-friendly and cost-effective alternative to traditional scaffold materials. The use of plant-derived polymers is critical, presenting both benefits and challenges, notably in mechanical properties. Integration of plant vascular networks represents a significant bioengineering breakthrough, aligning with natural design principles. The paper provides an in-depth analysis of development protocols, scaffold fabrication considerations, and illustrative case studies showcasing plant-based decellularization applications. This technique is transformative, offering sustainable scaffold design solutions with readily available plant materials capable of forming perfusable structures. Ongoing research aims to refine protocols, assess long-term implications, and adapt the process for clinical use, indicating a path toward widespread adoption. Plant-based decellularization holds promise for regenerative medicine, bridging biological sciences with engineering through eco-friendly approaches. Future perspectives include protocol optimization, understanding long-term impacts, clinical scalability, addressing mechanical limitations, fostering collaboration, exploring new research areas, and enhancing education. Collectively, these efforts envision a regenerative future where nature and scientific innovation converge to create sustainable solutions, offering hope for generations to come.

Procedures for Analyzing Ethylene by Gas Chromatograph (Gas Chromatograph를 이용한 에틸렌 분석 기술)

  • 이승구
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.34 no.s01
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    • pp.33-39
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    • 1989
  • Ethylene gas classified as one of five major plant hormones plays an important role in various plant metabolism. The precise analysis of ethylene production of plants or plant parts is a valuable research procedure because knowledge of ethylene production facilitates measures of the physiological activity within the tissue. This paper describes procedures for analyzing ethylene from plant tissues by gas chromatography and discusses problems associated with extracting gas samples either by introducing a vacuum to plant samples or by using a hypodermic syringe. Introduced are a continuous flow system for efficient analysis and an automated system for sampling, analyzing, calculating and recording ethylene production data.

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Automatic Image Segmention of Brain CT Image (뇌조직 CT 영상의 자동영상분할)

  • 유선국;김남현
    • Journal of Biomedical Engineering Research
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    • v.10 no.3
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    • pp.317-322
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    • 1989
  • In this paper, brain CT images are automatically segmented to reconstruct the 3-D scene from consecutive CT sections. Contextual segmentation technique was applied to overcome the partial volume artifact and statistical fluctuation phenomenon of soft tissue images. Images are hierarchically analyzed by region growing and graph editing techniques. Segmented regions are discriptively decided to the final organs by using the semantic informations.

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THE TERATOLOGICAL EFFECTS OF NITROFEN ON FETUSES IN PREGNANT RATS

  • Jung, Kyu-Yong;Lee, Yong-Soon
    • Toxicological Research
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    • v.2 no.1
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    • pp.37-50
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    • 1986
  • This paper describes the effects of nitrofen (Hi-TOK), a herbicide on the fetuses of rats. The results were observed as follows: The internal soft tissue anomalies were classified as diaphragmatic hernia, cardiac malformation (T.G.V., V.S.D., S.V.), dilatation of ventricle in brain, dilatation of renal pelvis, underdevelopment of fetal lung, shortening of cortex length and increasing of immatured glomeruli counts in the fetal kidney. The heart and diaphragm appear to be the target organs.

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Effects of Dietary Fiber and Chlorella Added Diets on Lipid Components in Serum of Rats (식이섬유와 Chlorella 첨가식이가 흰쥐의 혈청지질에 미치는 영향)

  • Cho, Jung-Sun;Kim, Hyo-Jin
    • Journal of the Korean Applied Science and Technology
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    • v.7 no.1
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    • pp.37-47
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    • 1990
  • This paper was performed to investigate the effect of dietary fiber and Chlorella added diets on serum composition of blood and histopathological change of liver and kidney in male rats. As the result, pectin added diets have an effect of decrease a serum, cholesterol and lipid of the tissue.

Intrapulmonary Teratoma - A Case Report - (폐기형종;1례 보고)

  • 유웅철
    • Journal of Chest Surgery
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    • v.25 no.2
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    • pp.205-209
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    • 1992
  • The intrapulmonary teratoma is an extremely tumor. This paper reports a case of int-rapulmonary teratoma located in the right upper and middle lobes of the lung in a 16-years-old male patient. The initial symptoms were right chest pain and coughing. Chest X-ray revealed huge soft tissue mass density in the right lower lung field. Right upper and middle lobectomy with resection of invaded pericardium was done. The gross and microscopic findings of res-ected specimen revealed characteristic findings of the intrapulmonary teratoma. The patient was recovered uneventually. We would like to describe this case of rare tumor with the review of literatures.

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A Study on Phase Velocity Measurement using Linear Phase Signal (선형 위상 신호를 이용한 위상속도 측정에 관한 연구)

  • Ko, Duck-Young;Kim, Kae-Kuk;Lee, Jons-Arc
    • Proceedings of the KIEE Conference
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    • 1988.07a
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    • pp.51-54
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    • 1988
  • In this paper, Digital signal processing method is deserved by the tissue characteristic quantization. Linear phase velocity is studied using linear signal, and the slope which attenuation characteristics are decreased is analysed according to frequency increase. A more efficient method determining the minimum phase function is developed from the spectral magnitud function.

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