美国Seracare传染病阳性血清转换盘（120种血清盘）

广州健仑生物科技有限公司

SeraCare Life Sciences公司主要在美国、欧洲和亚洲提供促进人类和动物诊断和治疗学的探索、开发和生产的产品和服务。其业务分为两个部分：诊断和生物制药产品和生物服务。诊断和生物制药产品部门生产和销售诊断和控制面板产品，用于测试传染性疾病的临床实验室及员工培训和能力测试。生物服务部门提供生物银行、来样加工和测试服务。

美国SeraCare收购BBI公司，即原BBI血清盘已经改名为SeraCare血清盘。

其产品包括有：传染病阳性质控品、疾病标准品、细菌阳性质控品、人血清白蛋白、人伽马球蛋白、牛血清白蛋白、血清盘、人血浆、人血清。

SeraCare的血清盘包括：HIV-1转化盘、HIV性能盘、HBV转化盘、HBV性能盘、HCV转化盘、HCV性能盘、弓形虫性能盘、线性盘和质控盘等等。

我司还提供其它进口或国产试剂盒：登革热、疟疾、流感、A链球菌、合胞病毒、腮病毒、乙脑、寨卡、黄热病、基孔肯雅热、克锥虫病、违禁品滥用、肺炎球菌、军团菌、化妆品检测、食品安全检测等试剂盒以及日本生研细菌分型诊断血清、德国SiFin诊断血清、丹麦SSI诊断血清等产品。

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美国Seracare传染病阳性血清转换盘（120种血清盘）

美国Seracare

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【公司名称】 广州健仑生物科技有限公司

【市 场 部】    杨永汉

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【腾讯Q Q】 2042552662

【公司地址】 广州清华科技园创新基地番禺石楼镇创启路63号二期2幢101-103室

来自CG公司(Complete genomics)、Reprogenetics公司以及纽约大学生殖中心(NYU Fertility Center)的科学家开发出一种新的“全基因组测序”的方法，或许可以解决这一难题。他们从刚刚接受体外受精的试管胚胎中提取5到10个细胞组织，进行扫描，分析其可能存在的不利突变。这项研究2月11日在线发表在Genome Research上。
首先，研究者从2个IVF胚胎中挑选的3个活体细胞组织进行基因测序以寻找新生突变，发现精子和卵子的突变并不*继承父母双亲的基因。那些自发的突变常常会引起先天性混乱，例如自闭症、癫痫以及一些严重的智力问题。
CG公司的*科学家Radoje Drmanac博士和这项研究、文章的共同作者Brock Peters则认为：由于每个个体基因引起的新生突变平均小于100个，而要检出父母双方的原始突变，这能够导致许多类型的疾病，需要极低的错误率。
过去从胚胎的囊胚中提取5到10个细胞活体组织，在进行测序前，DNA先被扩增。由于缺乏复制的保真度，扩增过程将产生成千上万个错误，其中很多错误将会导致连续的突变，并产生假阳性结果。现在的方法，是利用长片段的读取技术，可以消除100,000个测序错误，若是用于临床上，将会减少100个错误折叠。
根据文章所述，科学家能够检测出IVF胚胎中82%的新生突变。有意思的是，他们在一个胚胎中的蛋白编码区域找不到任何突变，而来自同一夫妇的另一个胚胎则出现了2个编码突变，分别是ZNF266和SLC26a10基因，这些基因的突变导致了很严重的疾病或遗传缺陷。然而科学家目前还不清楚他们所观察到的特殊突变是否会导致胎儿的其他健康风险。Drmanac教授和Peters教授补充道：现在zui大的问题是怎样分析这些突变对医学的影响，并基于这些结果做出何种决定。
此外，科学家认为全基因组测序技术(WGS)对试管婴儿(IVF)的另一好处是可以用于难以获得细胞的临床应用，譬如肿瘤循环细胞及胎儿循环细胞。
随着测序技术的发展，宏基因组学逐渐成为了新的热门领域。宏基因组学主要是鉴定环境样本中的所有微生物，理解它们各自所起的作用。这类研究比一般的基因组分析更需要计算机技术的帮助，因为宏基因组学研究的是不同基因组的混合物。

Scientists from Complete Genomics, Reprogenetics, and the NYU Fertility Center have developed a new "genome-wide sequencing" approach that may solve this problem. They extracted 5 to 10 cell tissues from in vitro fertilized test-tube embryos and scanned them for possible adverse mutations. The study was published online at Genome Research on February 11th.
First, the researchers performed genetic sequencing on three live cell tissues selected from two IVF embryos to search for new mutations. It was found that mutations in sperm and eggs did not compley inherit the genes of both parental parents. Those spontaneous mutations often cause congenital disorders such as autism, epilepsy, and some serious inlectual problems.
Dr. Radoje Drmanac, chief scientist of CG Corporation, and led the study, co-author Brock Peters, believes that because each individual gene causes fewer than 100 new mutations on average, it is necessary to detect the original mutations of both parents, which can lead to Many types of diseases require extremely low error rates.
In the past, 5 to 10 cells of living tissue were extracted from embryonic blastocysts and the DNA was first amplified before sequencing. Due to the lack of replication fidelity, the amplification process will generate thousands of errors, many of which will lead to continuous mutations and false positive results. The current method is to use long-range reading technology, which can eliminate 100,000 sequencing errors. If it is used clinically, it will reduce 100 misfoldings.
According to the article, scientists were able to detect 82% of newborn mutations in IVF embryos. Interestingly, they could not find any mutations in the protein coding region of one embryo, while two embryos from the same couple had two coding mutations, the ZNF266 and SLC26a10 genes, and the mutations in these genes caused serious mutations. The disease or genetic defect. However, scientists are still unclear whether the specific mutations they observe will cause other health risks to the fetus. Prof. Drmanac and Professor Peter added: The biggest question now is how to analyze the impact of these mutations on medicine, and based on these results What kind of decision.
In addition, scientists believe that another benefit of whole genome sequencing (WGS) for IVF is that it can be used in clinical applications where it is difficult to obtain cells, such as tumor circulating cells and fetal circulating cells.
With the development of sequencing technology, metagenomics has gradually become a new hot area. Metagenomics is mainly to identify all microorganisms in an environmental sample and understand their respective roles. This type of research requires more computer technology than generic genomics because metagenomics studies a mixture of different genomes.