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Structural analyses of putative porcine cluster of differentiation (CD) 24 gene
고해수 충북대학교 동물의학연구소 2018 Journal of Biomedical and Translational Research Vol.19 No.1
Cluster of differentiation (CD) 24 or heat stable antigen 24 (HSA) molecule is a mucin-type glycoprotein attached to the cell surface by glycosylphosphatidylinositol (GPI)-anchor, promoting adhesive interactions between cells or in extracellular matrix. The aim of this study was to determine the not yet fully identified porcine CD24 gene and protein structure using computational analysis and to validate variants reported in exons of CD24 gene using direct sequencing. A total of 59 samples belonging to Yorkshire, Landrace, Berkshire, Jeju black pig and wild boar were used in the study. Human CD24 mRNA sequences were used as a reference and subjected to BLAST searches to retrieve the orthologous expressed sequence tags (ESTs) or cDNA sequences against NCBI and Ensemble databases. Assembled ESTs and retrieved cDNA sequences for the porcine CD24 gene were used for specific BLAST search to determine its genomic structure. We found porcine CD24 gene to consist of two exons and a relatively long intron. Second exon of porcine CD24 gene had a long 3’ untranslated region (UTR) and was very similar to that of human, mouse, rat, and sheep. The sequence homology of porcine CD24 protein was 65.38-84.62%, when analyzed with amino acid sequences of rat, mouse, human, cattle, and sheep CD24 protein. N-terminal signal sequence, O-glycosylation sites and GPI-anchoring signal sites were also predicted in pig, which showed these motifs to be evolutionary conserved across the species. Variant analysis in exonic regions of porcine CD24 among the multiple breeds showed that only second exon contained eight SNPs and three insertions in a 3’ UTR. Taken together, this study reports putative porcine CD24 gene and its protein structure using in silico approaches, which will be helpful for any further functional studies.
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Selectins: functional importance as cell adhesion molecule in immune system
노윤정,조동현,고해수,임다정,최한하 충북대학교 동물의학연구소 2019 Journal of Biomedical and Translational Research Vol.20 No.4
Selectins are cell membrane glycoproteins that recognize specific glycoconjugates expressed on the surface of cells. Then, selectins adjust cell-cell interactions that are important in inflammation, hemostasis and cancer metastasis. Selectins mediate leukocyte calls to move into the site of inflammation through interactions with activated endothelial cells or endogenous selectin ligands expressed in high endothelial venules. Types of selectins are divided into L-selectin, E-selectin and P-selectin, which are called to CD62L, CD62E, and CD62P, respectively. Each selectin is composed of four regions; the C-type lectin region of N-terminal, the epidermal growth factor (EGF) region, the intracellular C-terminal region, and the hydrophobic transmembrane region. They have similar structures but differ in their binding specificities and tissue distributions. The selectin family commonly recognizes the sialyl Lewis X (sLeX) on carbohydrate structures. Although biological ligands bound to each selectin are different from each other, they commonly bind to P-selectin glycoprotein ligand-1 (PSGL-1) ligand. The PSGL-1 ligand is a glycoprotein promoting cell adhesion in inflammatory responses. If the absence of selectins and their ligands in humans and animals are, should lead to persistent infections and diseases. Selectin family must be considered as a key subject for drug discovery since they have various functions depending on the ligand which they bind to.
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박원철(Woncheoul Park),크리스나무티 스리칸스(Krishnamoorthy Srikanth),박종은(Jong-Eun Park),신동현(Donghyun Shin),고해수(Haesu Ko),임다정(Dajeong Lim),조인철(In-Cheol Cho) 한국생명과학회 2019 생명과학회지 Vol.29 No.1
한우(한국 재래 소)에서 반수체형 페이징을 위한 고밀도 시퀀싱을 이용한 비교 분석 논문은 많지가 않다. 이런 고밀도 시퀀싱 플랫폼 중에서, 일루미나에서 서비스 하는 Truseq Synthetic Long-Read Haplotyping 시퀀싱 플랫폼(TSLRH)과 10X Genomics에서 서비스하는 The Chromium Genome 시퀀싱 플랫폼을 특별히 비교 분석하는 논문은 없다. 우리는 한우 연구소의 한우 종모우(아이디: TN1505D2184 or 27214)의 정액에서 DNA를 추출하였으며, 이 DNA로부터 각각의 시퀀싱 플랫폼을 이용하여 시퀀싱 데이터를 생산하였다. 그 후, 우리는 각각의 시퀀싱 플랫폼에 맞는 분석 방법을 이용하여 단일염기서열변이들은 찾아냈다. 그 결과, TSLRH과 10XG의 전체 리드 수는 각각 355,208,304, 1,632,772,004, 맵핑 리드의 개수는 351,992,768(99.09%), 1,526,641,824(93.50%), Q30(%)은 89.04%, 88.60%, 평균 밀도는 13.04X, 74.3X, 가장 긴 페이즈 블락은 1,982,706bp, 1,480,081 bp, N50 페이즈 블락은 57,637bp, 114,394 bp, 전체 단일염기서열변이는 4,534,989, 8,496,813, 전체 페이징 비율은 72.29%, 87.67%였다. 더욱이, 우리는 각각의 시퀀싱 플랫폼을 비교해서 각각의 시퀀싱 플랫폼의 고유한 단일염기서열변이와 두 시퀀싱 플랫폼에서 공통적으로 존재하는 단일염기서열변이를 각 염색체 별로 확인하였으며, 단일염기서열변이의 개수는 염색체 길이에 정비례한다는 결과를 확인하였다. 결론적으로, 본 연구에서 추천하는 바는 연구비가 충분하지 않을 시에는 TSLRH 보다 10XG을 사용하는 것을 추천한다. 왜냐하면 전체 리드 및 단일염기서열변이 개수, N50 페이즈 블락, 가장 긴 페이즈 블락, 페이즈 비율 그리고 평균 밀도 등이 TSLRH 보다 10XG가 더 높거나 좋기 때문이다. In Hanwoo cattle (Korean native cattle), there is a scarcity of comparative analysis papers using highdepth sequencing and haplotype phasing, particularly a comparative analysis of the Truseq Synthetic Long-Read Haplotyping sequencing platform serviced by Illumina (TSLRH) versus the Chromium Genome Sequencing platform serviced by 10X Genomics (10XG). DNA was extracted from the sperm of a Hanwoo breeding bull (ID: TN1505D2184/27214) provided by Hanwoo research canter and used for the generation of sequence data from both the sequencing platforms. We then identified SNVs using an appropriate analysis pipeline tailored for each platform. The TSLRH and 10XG platforms generated a total of 355,208,304 and 1,632,772,004 reads, respectively, corresponding to a Q30 (%) of 89.04% and 88.60%, respectively, of which 351,992,768(99.09%) and 1,526,641,824(93.50%) were successfully mapped. For the TSLRH and 10XG platforms, the mean depth of the sequencing was 13.04X and 74.3X, the longest phase block was 1,982,706 bp and 1,480,081 bp, the N50 phase block was 57,637 bp and 114,394 bp, the total number of SNVs identified was 4,534,989 and 8,496,813, and the total phased rate was 72.29% and 87.67%, respectively. Moreover, for each chromosome, we identified unique and common SNVs using both sequencing platforms. The number of SNVs was directly proportional to the length of the chromosome. Based on our results, we recommend the use of the 10XG platform for haplotype phasing and SNV identification, as it generated a longer N50 phase block, in addition to a higher mean depth, total number of reads, total number of SNVs, and phase rate, than the TSLRH platform.
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