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In this study, 543 samples of press hams, sausages, processed ground meat and processed cheese acquired from retail markets in Seoul and Gyeonggi province in Korea from 2005 to 2010 were monitored using a one-step multiplex polymerase chain reaction (PCR) method that involves the amplification of specific soya or maize endogenous genes and the amplification of 35S promoter (p35S) and nopaline synthase terminator (tNOS) for GMO detection. Among the 543 samples, 477 samples were amplified for maize and/or soybean endogenous genes. Although one sausage sample collected in 2008 showed amplification of tNOS, the result was assumed to be false positive based on the results from further tests of other sausage samples of the same brand. Our results demonstrate the absence of GM soya and/or maze of livestock products in the Korean market during 2005-2010. In addition, the one-step multiplex PCR using previously constructed primer sets appears to be useful as a screening method for the detection of GMOs in processed livestock products. However, more specific methods should be established and employed to detect the event-specific GM gene for positive reaction samples by screening tests in processed livestock products.

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Cell–cell interaction (CCI) is a crucial event in the development and function of multicellular organisms. The development of CCI databases is beneficial for researchers who want to analyze single-cell sequencing data or study CCI through molecular experiments. CCIs are known to act differently according to cellular and biological contexts such as cell types, gene mutations or disease status; however, previous CCI databases do not completely provide this contextual information pertaining to CCIs. We constructed a cell-cell interaction database (CCIDB) containing the biological and clinical contexts involved in each interaction. To build a database of cellular and tissue contexts, we collected 38 types of context features, which were categorized into seven categories, including ‘interaction’, ‘cell type’, ‘cofactor’, ‘effector’, ‘phenotype’, ‘pathology’ and ‘reference’. CCIs were manually retrieved from 272 studies published recently (less than 6 years ago). In the current version of CCIDB, 520 CCIs and their 38 context features have been manually collected and curated by biodata engineers. We suggest that CCIDB is a manually curated CCI resource that is highly useful, especially for analyzing context-dependent alterations in CCIs. Database URL https://ccidb.sysmed.kr/