Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

[EX Q]: Context: Licorice has been used to treat many ailments including cardiovascular disorders in China for long time. Recent studies have shown that the cardiac actions of licorice have been attributed to its active component, glycyrretinic acid (GA). However, its mechanism remains poorly understood.', 'The effects of GA on the cardiac sodium currents (I(Na)), L-type calcium currents (I(Ca,L)) and hyperpolarization-activated inward currents (I(f)) were investigated.', 'Human isoforms of wild-type and DeltaKPQ-mutant type sodium channels were expressed in Xenopus oocytes, and the resulting currents (peak and late I(Na)) were recorded using a two-microelectrode voltage-clamp technique. A perforated patch clamp technique was employed to record I(Ca,L) and I(f) from isolated rabbit sinoatrial node pacemaker cells.', 'GA inhibited peak I(Na) (33% at 90 microM) and late I(Na) (72% at 90 microM), but caused no significant effects on I(Ca,L) and I(f).
Answer: GA blocked cardiac sodium currents, particularly late I(Na.) Our findings might help to understand the traditional use of licorice in the treatment of cardiovascular disorders, because reduction of sodium currents (particularly late I(Na)) would be expected to provide protection from Na(+)-induced Ca(2+) overload and cell damage.
[EX A]: Does glycyrretinic acid block cardiac sodium channels expressed in Xenopus oocytes?

[EX Q]: Context: Expression of CINCs was regulated differentially in lipopolysaccharide-stimulated rat macrophages. We examined whether the expression of CINCs in lipopolysaccharide-stimulated rat macrophages is similarly inhibited by anti-inflammatory drugs.', 'Rat peritoneal macrophages were stimulated by lipopolysaccharide in the presence of anti-inflammatory steroids (dexamethasone, prednisolone and hydrocortisone) or non-steroidal anti-inflammatory drugs (indomethacin and piroxicam). The production and mRNA expression of three types of CINCs were measured using enzyme-linked immunosorbent assay and northern hybridization.', 'Anti-inflammatory steroids; dexamethasone, prednisolone and hydrocortisone, dose-dependently inhibited the production of CINC-1, -2 and -3, whose inhibitory patterns were similar to each other. Furthermore mRNA expression of each CINC was inhibited by dexamethasone in a dose-dependent manner. In contrast, non-steroidal anti-inflammatory drugs, indomethacin and piroxicam were without effect. Expression of each CINC was regulated differently; the production of CINC-1 reached a maximum at 12 h and then slightly decreased after lipopolysaccharide stimulation, whereas that of CINC-2 and CINC-3 increased up to 24 h. Dexamethasone inhibited the CINCs production and mRNA expression at 9 h after lipopolysaccharide stimulation.
Answer: These results indicate no difference among CINC-1, -2 and -3 in the inhibition of production and mRNA expression of CINCs by anti-inflammatory steroids, although lipopolysaccharide differentially induces expression of each CINC expression in culture of rat macrophages.
[EX A]: Is the expression of three types of CINCs by lipopolysaccharide-stimulated rat macrophages inhibited similarly by anti-inflammatory steroids?

[EX Q]: Context: Network component analysis (NCA) became a popular tool to understand complex regulatory networks. The method uses high-throughput gene expression data and a priori topology to reconstruct transcription factor activity profiles. Current NCA algorithms are constrained by several conditions posed on the network topology, to guarantee unique reconstruction (termed compliancy). However, the restrictions these conditions pose are not necessarily true from biological perspective and they force network size reduction, pruning potentially important components.', 'To address this, we developed a novel, Iterative Sub-Network Component Analysis (ISNCA) for reconstructing networks at any size. By dividing the initial network into smaller, compliant subnetworks, the algorithm first predicts the reconstruction of each subnetwork using standard NCA algorithms. It then subtracts from the reconstruction the contribution of the shared components from the other subnetwork. We tested the ISNCA on real, large datasets using various NCA algorithms. The size of the networks we tested and the accuracy of the reconstruction increased significantly. Importantly, FOXA1, ATF2, ATF3 and many other known key regulators in breast cancer could not be incorporated by any NCA algorithm because of the necessary conditions. However, their temporal activities could be reconstructed by our algorithm, and therefore their involvement in breast cancer could be analyzed.
Answer: Our framework enables reconstruction of large gene expression data networks, without reducing their size or pruning potentially important components, and at the same time rendering the results more biological plausible. Our ISNCA method is not only suitable for prediction of key regulators in cancer studies, but it can be applied to any high-throughput gene expression data.
[EX A]:
Does iterative sub-network component analysis enable reconstruction of large scale genetic networks?