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.

Input: Consider Input: BACKGROUND Orai1/CRACM1 is a principal component of the store-operated calcium channels. Store-operated calcium influx is highly correlated with inflammatory reactions, immunological regulation, and cell proliferation. Epidermal growth factor (EGF), which plays an important role in the regulation of cell proliferation, can activate store-operated calcium channels. However, the consequences of Orai1/CRACM1 overexpression in EGF-mediated lung cancer cells growth are not known.
METHODS To investigate the role of Orai1/CRACM1 in EGF-mediated lung cancer cell proliferation, Orai1/CRACM1 plasmids were transfected into cells by lipofection. A cell proliferation assay, immunofluorescence staining, flow cytometry, and real-time polymerase chain reaction were employed to monitor cell proliferation. The calcium influx signals were investigated using a fluorescent-based calcium assay.
RESULTS Transfection of Orai1/CRACM1 plasmids resulted in the inhibition of EGF-mediated cell proliferation. ERK1/2 and Akt phosphorylation were inhibited by Orai1/CRACM1 overexpression. Expression of the cell cycle modulator p21 was induced in the Orai1/CRACM1-overexpressing cells, whereas the expression of cyclin D3 was reduced. Flow cytometry revealed that overexpression of Orai1/CRACM1 resulted in G0/G1 cell cycle arrest. Importantly, Orai1/CRACM1 overexpression significantly attenuated EGF-mediated store-operated calcium influx. In addition, application of 2-APB, a store-operated calcium channel inhibitor, resulted in the inhibition of EGF-mediated cancer cell proliferation.
CONCLUSIONS We conclude that Orai1/CRACM1 overexpression attenuates store-operated Ca(2+) influx that in turn blocks EGF-mediated proliferative signaling and drives cell cycle arrest.

Output: Orai1/CRACM1 overexpression suppresses cell proliferation via attenuation of the store-operated calcium influx-mediated signalling pathway in A549 lung cancer cells.

Input: Consider Input: BACKGROUND Dysfunction of gamma-aminobutyric acid (GABA) (B) receptors has been implicated in the pathogenesis of temporal lobe epilepsy (TLE).
OBJECTIVE To evaluate the genetic contribution of cloned human GABA(B) receptors to TLE.
METHODS The authors genotyped 141 patients (78 women and 63 men; mean age = 49.1 +/- 18.0 years) with nonlesional TLE and 372 age- and sex-matched normal individuals for the known polymorphism G1465A in the human GABA(B) receptor 1 [GABA(B[1])] gene.
RESULTS There was a highly significant overrepresentation of the G1465A heterozygote in patients with TLE compared with controls. The A/G genotype was found in 17% of the 141 patients with TLE and in only 0.5% of the 372 controls (p < 0.0001). The authors also found that patients carrying the A allele had a significantly higher risk (p = 0.003, OR = 6.47, 95% CI = 2.02 to 20.76) of developing drug-resistant TLE. Furthermore, the age at onset of seizures tended to be lower in patients with A/G genotype, but the difference was not significant.
CONCLUSIONS The results of this study indicate that the GABA(B[1]) polymorphism (G1465A) confers a highly increased susceptibility to TLE. Moreover, it seems to influence the severity of this common epileptic disorder.

Output: GABA(B) receptor 1 polymorphism (G1465A) is associated with temporal lobe epilepsy.

Input: Consider Input: The long-term culture of human embryonic stem (ES) cells is inevitably subject to evolution, since any mutant that arises with a growth advantage will be selectively amplified. However, the evolutionary influences of population size, mutation rate, and selection pressure are frequently overlooked. We have constructed a Monte Carlo simulation model to predict how changes in these factors can influence the appearance and spread of mutant ES cells, and verified its applicability by comparison with in vitro data. This simulation provides an estimate for the expected rate of generation of culture-adapted ES cells under different assumptions for the key parameters. In particular, it highlights the effect of population size, suggesting that the maintenance of cells in small populations reduces the likelihood that abnormal cultures will develop.
Output: Modeling the evolution of culture-adapted human embryonic stem cells.