CHL中国仓鼠肺细胞、CHL细胞(鉴定正确)
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CHL中国仓鼠肺细胞、CHL细胞(鉴定正确)

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  • ¥1200
  • 南京万木春
  • 进口/国产
  • WM-23XM272
  • 2025年10月28日
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  • 企业认证

    • 详细信息
    • 文献和实验
    • 技术资料
    • 英文名

      CHL中国仓鼠肺细胞

    • 库存

      现货库存

    • 供应商

      南京万木春

    • 肿瘤类型

      /

    • 细胞类型

      /

    • ATCC Number

      CHL中国仓鼠肺细胞

    • 品系

      CHL中国仓鼠肺细胞

    • 组织来源

    • 相关疾病

      /

    • 物种来源

      /

    • 免疫类型

      /

    • 细胞形态

      /

    • 是否是肿瘤细胞

      /

    • 器官来源

      /

    • 运输方式

      常温/干冰

    • 年限

      三代内

    • 生长状态

      /

    • 规格

      T25

    中国仓鼠肺细胞CHL
     

    种属中国仓鼠
    别称Chinese Hamster Lung
    组织来源
    传代比例/细胞消化1:2传代 ,消化2-3分钟
    完全培养基配置DMEM培养基;10%胎牛血清;1%双抗
    简介该细胞系来源于一雌性中国仓鼠的肺组织。1970年由Koyama等建立。广泛应用于化学物质诱导的染色体畸变检测。
    形态成纤维细胞样
    生长特征贴壁生长
    倍增时间每周 2 至 3 
    基因表达human tissue plasminogen activator(t-PA)
    培养条件气相:空气 ,95% ;二氧化碳 ,5%。 温度:37摄氏 ,培养箱湿度为70%-80%。
    冻存条件冻存液:90%FBS ,DMSO 10%,
    或使用非程序冻存液:官网货号JY-H040
    保藏机构ECACC; 87111906
    产品使用仅限于科学研究 ,不可作为动物或人类疾病的治疗产品使用。

    Objective: Rheumatoid arthritis (RA) is an autoimmune condition that causes severe joint deformities and impaired functionality, affecting the well-being and daily life of individuals. Consequently, there is a pressing demand for identifying viable therapeutic targets for treating RA. This study aimed to explore the molecular mechanisms of osteoclast differentiation in PBMC from patients with RA through transcriptome sequencing and bioinformatics analysis.

    Methods: Blood samples were collected from 20 patients with RA, including 15 females and 5 males. Peripheral blood mononuclear cells (PBMCs) were isolated by density gradient centrifugation. Osteoclast differentiation was induced using a medium containing RANKL and M-CSF for 14 days, with medium changes every 2 days. After 14 days, osteoclasts were identified by TRAP staining, and multinucleated TRAP-positive cells were counted as osteoclasts. Subsequently, transcriptome sequencing was performed using the Illumina Novaseq 6000 platform, and differential expression analysis was conducted using the DESeq2 package in R. Differentially expressed genes were selected with a significance threshold of p < 0.05 and a fold change ≥ 2 (|Log2FC|≥ 1). Bioinformatics analysis was performed using R, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.




    Conclusion: In this small series of SDC, biomarkers do not seem to correlate with disease biology, although they provide additional treatlknt options. SDC may harbor a diklerent immune profile compared to other subtypes, with an indication of T-cell dysfunction.The capacity of the immune system to distinguish foreign from self-antigen, and to

     


     

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    该产品被引用文献

    Conclusion: In this small series of SDC, biomarkers do not seem to correlate with disease biology, although they provide additional treatlknt options. SDC may harbor a diklerent immune profile compared to other subtypes, with an indication of T-cell dysfunction.The capacity of the immune system to distinguish foreign from self-antigen, and to
     

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