In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.

[Q]: Silibinin is a flavonoid with antihepatotoxic properties and pleiotropic anticancer capabilities. This study investigated silibinin inhibition of cell invasion by down-regulating matrix metalloproteinase-2 (MMP-2) expression, via attenuation of activator protein-1 (AP-1) in IL-6-stimulated LoVo colon cancer cells. Western blot data showed that the expression of MMP-2 protein was reduced 1.6- or 1.7-fold over the control by treatment with silibinin or JNK inhibitor in the models. Similar results were revealed in zymography and confocal microscopy. Pretreatment with silibinin also abolished the binding activity of AP-1 and MMP-2 promoter activity via AP-1 binding, as observed by EMSA and luciferase assay. Finally, a [(3)H]-thymidine incorporation proliferation assay and cell migration assay demonstrated that silibinin inhibited IL-6-stimulated LoVo cell proliferation and invasion. Taken together, these data indicated that silibinin inhibits LoVo cell invasion with the reduction of MMP-2 presentation by attenuating AP-1 binding activity, suggesting a novel antimetastatic application for silibinin in colon cancer chemoprevention.
[A]: Silibinin inhibits the invasion of IL-6-stimulated colon cancer cells via selective JNK/AP-1/MMP-2 modulation in vitro.

[Q]: The variable domain of an immunoglobulin (IG) sequence is encoded by multiple genes, including the variable (V) gene, the diversity (D) gene and the joining (J) gene. Analysis of IG sequences typically requires identification of each gene, as well as a comparison of sequence variations in the context of defined regions. General purpose tools, such as the BLAST program, have only limited use for such tasks, as the rearranged nature of an IG sequence and the variable length of each gene requires multiple rounds of BLAST searches for a single IG sequence. Additionally, manual assembly of different genes is difficult and error-prone. To address these issues and to facilitate other common tasks in analysing IG sequences, we have developed the sequence analysis tool IgBLAST (http://www.ncbi.nlm.nih.gov/igblast/). With this tool, users can view the matches to the germline V, D and J genes, details at rearrangement junctions, the delineation of IG V domain framework regions and complementarity determining regions. IgBLAST has the capability to analyse nucleotide and protein sequences and can process sequences in batches. Furthermore, IgBLAST allows searches against the germline gene databases and other sequence databases simultaneously to minimize the chance of missing possibly the best matching germline V gene.
[A]: IgBLAST: an immunoglobulin variable domain sequence analysis tool

[Q]: A central goal of systems biology is the elucidation of cell function and physiology through the integrated use of broad based genomic and physiological data. Such systemic approaches have been employed extensively in the past, as they are a central element of metabolic flux analysis, the distribution of kinetic control in pathways, and the key differentiating characteristic of metabolic engineering. In one case study, these tools have been applied to the improvement of lysine-producing strains of Corynebacterium glutamicum. The systematic study of the physiology of this organism allowed the identification of specific metabolic targets and subsequently led to significant improvements in product yield and productivity. This case study can serve as a guide for the development of systems biology tools for the utilization of large volumes of cell- and genome-wide transcriptional and physiological data.
[A]:
Strain improvement by metabolic engineering: lysine production as a case study for systems biology.