Expression profile of tumor suppressor gene RASSF1 in lacrimal gland carcinoma

We examined the expression pattern of the tumor sup-pressor gene RAS association domain family gene 1 (RASSF1) in lacri-mal gland carcinoma and analyzed its relationship with the oncogenesis and progression of tumors. Sixty-two patients (30 males, 32 females, average age = 47 ± 3.5 years) admitted with lacrimal gland carcinoma to the Department of Ophthalmology of our hospital between January 2012 and January 2014 were enrolled in this study. Based on tumor ma-lignancy, patients were classified into a malignant group (N = 25) and benign group (N = 37). Healthy lacrimal gland resections from trauma surgery (N = 35) were recruited as a healthy control group. Expres-sion profiles of RASSF1 in all groups were quantified using reverse transcription-polymerase chain reaction and western blotting. Recur-rence of lacrimal gland carcinoma was surveyed through postopera-tive follow-up. Expression levels of RASSF1 in samples from the ma-lignant and benign groups were significantly lower than those in the healthy group (P < 0.05). Furthermore, the malignant group showed lower RASSF1 expression than the benign group (P < 0.05). Postopera-tive follow-up identified 22 cases of recurrence in the malignant group, with a recurrence rate of 88%, while 15 cases in the benign group had a recurrence rate of 40.5%. A direct relationship exists between RASSF1 expression levels and the malignancy grade of lacrimal gland carci-noma. Patients with lower RASSF1 expression showed a higher recur-rence probability, indicating unfavorable prognosis. Therefore, measur-ing RASSF1 expression can be used as a diagnostic method for lacrimal gland carcinoma.

Cloning and expression of an APETALA1-like gene from Nelumbo nucifera

The objective of this study was to clone the full-length cDNA of the APETALA1 (AP1) gene from lotus and analyze its sequence and expression pattern. The full-length cDNA sequence of the NnAP1 gene was amplified from the petals of Nelumbo nucifera 'Hongxia' using RT-PCR and rapid amplification of cDNA ends. Bioinformatic methods were used to analyze the sequence characteristics of the gene. Quantitative real-time PCR methods were used to investigate the expression pattern of NnAP1 in various organs and during different developmental stages. The cloned full-length NnAP1 cDNA (GenBank accession No. KF361315) was 902 bp, containing a 795-bp open reading frame encoding 264 amino acids with a relative molecular mass of 30,288.4 and an isoelectric point of 9.13. NnAP1 had a MADS-box domain and a K-box domain, which is typical of the SQUA/AP1 gene family. A protein sequence identity search showed that NnAP1 was 75-96% similar to other plant AP1s. Phylogenetic tree analysis indicated that NnAP1 was very closely related to AP1 of Glycine max, suggesting that they shared the same protein ancestor. Quantitative real-time PCR analysis showed that NnAP1 was expressed in various organs during different developmental stages; it had the highest expression in blooming flowers and had trace expression in the young vegetative and flower senescence stages. Our analysis suggests that NnAP1 plays an important role in controlling floral meristem identity and floral organ formation.

[Effects of Ido1 on mouse decidualization]

Indoleamine 2,3-dioxygenase 1 (Ido1) is a rate-limiting enzyme which converts the essential amino acid tryptophan to kynurenine. The aim of this study was to investigate the expression and regulation of Ido1 in mouse uterus during decidualization. The results showed that Ido1 mRNA expression gradually increased from day 1 to 4 of pregnancy and reached the peak level on day 4. On days 5-8 of pregnancy, a low level of Ido1 expression was observed in the uteri. Simultaneously, Ido1 mRNA was also lowly expressed in the decidualized uterus and the stromal cells treated with 8-Br-cAMP. Under in vitro decidualization, the expression of Ido1 mRNA gradually declined. Further studies found that overexpression of Ido1 can inhibit the expression of decidualization marker genes PRL, IGFBP1 and Dtprp under in vitro decidualization while inhibition of Ido1 with L-1-MT can induce the expression of these marker genes. Ido1 can prevent uterine stromal cells proliferation and enhance the expression of the Bax gene and increase the Bax/Bcl2 ratio under in vitro decidualization. Additionally, Ido1 can also modulate the expression of the MMP2 gene. In the uterine stromal cells, estrogen and progesterone can stimulate the expression of Ido1. These data indicate that Ido1 may play an important role during mouse decidualization and may be regulated by estrogen and progesterone in the uterine stromal cells.

Denis RD, Stahlman J, Stamen R, Stanecka E, Stanek RW, Stanescu C, Stanescu-Bellu M, Stanitzki MM, Stapnes S, Starchenko EA, Stark J, Staroba P, Starovoitov P, Staszewski R, Staude A, Stavina P, Steele G, Steinbach P, Steinberg P, Stekl I, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stern S, Stewart GA, Stillings JA, Stockton MC, Stoerig K, Stoicea G, Stonjek S, Strachota P, Stradling AR, Straessner A, Strandberg J, Strandberg S, Strandlie A, Strang M, Strauss E, Strauss M, Strizenec P, Ströhmer R, Strom DM, Strong JA, Stroynowski R, Stugu B, Stumer I, Stupak J, Sturm P, Styles NA, Soh DA, Su D, Subramania HS, Subramaniam R, Succurro A, Sugaya Y, Suhr C, Suk M, Sulin VV, Sultansoy S, Sumida T, Sun X, Sundermann JE, Suruliz K, Susinno G, Sutton MR, Suzuki Y, Suzuki Y, Svatos M, Swedish S, Sykora I, Sykora T, Sánchez J, Ta D, Tackmann K, Taffard A, Tafirout R, Taiblum N, Takahashi Y, Takai H, Takashima R, Takeda H, Takeshita T, Takubo Y, Talby M, Talyshev A, Tamsett MC, Tan KG, Tanaka J, Tanaka R, Tanaka S, Tanaka S, Tanasijczuk AJ, Tani K, Tannoury N, Tapprogge S, Tardif D, Tarem S, Tarrade F, Tartarelli GF, Tas P, Tasevsky M, Tassi E, Tayalati Y, Taylor C, Taylor FE, Taylor GN, Taylor W, Teinturier M, Teischinger FA, Teixeira Dias Castanheira M, Teixeira-Dias P, Temming KK, Ten Kate H, Teng PK, Terada S, Terashi K, Terron J, Testa M, Teuscher RJ, Therhaag J, Theveneaux-Pelzer T, Thoma S, Thomas JP, Thompson EN, Thompson PD, Thompson PD, Thompson AS, Thomsen LA, Thomson E, Thomson M, Thong WM, Thun RP, Tian F, Tibbetts MJ, Tic T, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tiouchichine E, Tipton P, Tisserant S, Todorov T, Todorova-Nova S, Toggerson B, Tojo J, Tokár S, Tokushuku K, Tollefson K, Tomoto M, Tompkins L, Toms K, Tonoyan A, Topfel C, Topilin ND, Torrence E, Torres H, Torró Pastor E, Toth J, Touchard F, Tovey DR, Trefzger T, Tremblet L, Tricoli A, Trigger IM, Trincaz-Duvoid S, Tripiana MF, Triplett N, Trischuk W, Trocmé B, Troncon C, Trottier-McDonald M, True P, Trzebinski M, Trzupek A, Tsarouchas C, Tseng JCL, Tsiakiris M, Tsiareshka PV, Tsionou D, Tsipolitis G, Tsiskaridze S, Tsiskaridze V, Tskhadadze EG, Tsukerman II, Tsulaia V, Tsung JW, Tsuno S, Tsybychev D, Tua A, Tudorache A, Tudorache V, Tuggle JM, Turala M, Turecek D, Turk Cakir I, Turlay E, Turra R, Tuts PM, Tykhonov A, Tylmad M, Tyndel M, Tzanakos G, Uchida K, Ueda I, Ueno R, Ugland M, Uhlenbrock M, Uhrmacher M, Ukegawa F, Unal G, Undrus A, Unel G, Unno Y, Urbaniec D, Urquijo P, Usai G, Uslenghi M, Vacavant L, Vacek V, Vachon B, Vahsen S, Valenta J, Valentinetti S, Valero A, Valkar S, Valladolid Gallego E, Vallecorsa S, Valls Ferrer JA, Van Berg R, Van Der Deijl PC, van der Geer R, van der Graaf H, Van Der Leeuw R, van der Poel E, van der Ster D, van Eldik N, van Gemmeren P, van Vulpen I, Vanadia M, Vandelli W, Vaniachine A, Vankov P, Vannucci F, Vari R, Varnes EW, Varol T, Varouchas D, Vartapetian A, Varvell KE, Vassilakopoulos VI, Vazeille F, Vazquez Schroeder T, Vegni G, Veillet JJ, Veloso F, Veness R, Veneziano S, Ventura A, Ventura D, Venturi M, Venturi N, Vercesi V, Verducci M, Verkerke W, Vermeulen JC, Vest A, Vetterli MC, Vichou I, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Viel S, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Vinek E, Vinogradov VB, Virchaux M, Virzi J, Vitells O, Viti M, Vivarelli I, Vives Vaque F, Vlachos S, Vladoiu D, Vlasak M, Vogel A, Vokac P, Volpi G, Volpi M, Volpini G, von der Schmitt H, von Radziewski H, von Toerne E, Vorobel V, Vorwerk V, Vos M, Voss R, Voss TT, Vossebeld JH, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vu Anh T, Vuillermet R, Vukotic I, Wagner W, Wagner P, Wahlen H, Wahrmund S, Wakabayashi J, Walch S, Walder J, Walker R, Walkowiak W, Wall R, Waller P, Walsh B, Wang C, Wang H, Wang H, Wang J, Wang J, Wang R, Wang SM, Wang T, Warburton A, Ward CP, Wardrope DR, Warsinsky M, Washbrook A, Wasicki C, Watanabe I, Watkins PM, Watson AT, Watson IJ, Watson MF, Watts G, Watts S, Waugh AT, Waugh BM, Weber MS, Webster JS, Weidberg AR, Weigell P, Weingarten J, Weiser C, Wells PS, Wenaus T, Wendland D, Weng Z, Wengler T, Wenig S, Wermes N, Werner M, Werner P, Werth M, Wessels M, Wetter J, Weydert C, Whalen K, White A, White MJ, White S, Whitehead SR, Whiteson D, Whittington D, Wicek F, Wicke D, Wickens FJ, Wiedenmann W, Wielers M, Wienemann P, Wiglesworth C, Wiik-Fuchs LAM, Wijeratne PA, Wildauer A, Wildt MA, Wilhelm I, Wilkens HG, Will JZ, Williams E, Williams HH, Willis W, Willocq S, Wilson JA, Wilson MG, Wilson A, Wingerter-Seez I, Winkelmann S, Winklmeier F, Wittgen M, Wollstadt SJ, Wolter MW, Wolters H, Wong WC, Wooden G, Wosiek BK, Wotschack J, Woudstra MJ, Wozniak KW, Wraight K, Wright M, Wrona B, Wu SL, Wu X, Wu Y, Wulf E, Wynne BM, Xella S, Xiao M, Xie S, Xu C, Xu D, Xu L, Yabsley B, Yacoob S, Yamada M, Yamaguchi H, Yamamoto A, Yamamoto K, Yamamoto S, Yamamura T, Yamanaka T, Yamazaki T, Yamazaki Y, Yan Z, Yang H, Yang UK, Yang Y, Yang Z, Yanush S, Yao L, Yao Y, Yasu Y, Ybeles Smit GV, Ye J, Ye S, Yilmaz M, Yoosoofmiya R, Yorita K, Yoshida R, Yoshihara K, Young C, Young CJ, Youssef S, Yu D, Yu J, Yu J, Yuan L, Yurkewicz A, Zabinski B, Zaidan R, Zaitsev AM, Zajacova Z, Zanello L, Zanzi D, Zaytsev A, Zeitnitz C, Zeman M, Zemla A, Zendler C, Zenin O, Ženiš T, Zinonos Z, Zerwas D, Zevi della Porta G, Zhang D, Zhang H, Zhang J, Zhang X, Zhang Z, Zhao L, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou N, Zhou Y, Zhu CG, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhuravlov V, Zibell A, Zieminska D, Zimin NI, Zimmermann R, Zimmermann S, Zimmermann S, Ziolkowski M, Zitoun R, Živković L, Zmouchko VV, Zobernig G, Zoccoli A, zur Nedden M, Zutshi V, Zwalinski L. The differential production cross section of the [Formula: see text](1020) meson in [Formula: see text] = 7 TeV [Formula: see text] collisions measured with the ATLAS detector

A measurement is presented of the [Formula: see text] production cross section at [Formula: see text] = 7 TeV using [Formula: see text] collision data corresponding to an integrated luminosity of 383 [Formula: see text], collected with the ATLAS experiment at the LHC. Selection of [Formula: see text](1020) mesons is based on the identification of charged kaons by their energy loss in the pixel detector. The differential cross section is measured as a function of the transverse momentum, [Formula: see text], and rapidity, [Formula: see text], of the [Formula: see text](1020) meson in the fiducial region 500 [Formula: see text] 1200 MeV, [Formula: see text] 0.8, kaon [Formula: see text] 230 MeV and kaon momentum [Formula: see text] 800 MeV. The integrated [Formula: see text]-meson production cross section in this fiducial range is measured to be [Formula: see text] = 570 [Formula: see text] 8 (stat) [Formula: see text] 66 (syst) [Formula: see text] 20 (lumi) [Formula: see text].

Surface characterization and osteoblast response to a functionally graded hydroxyapatite/fluoro-hydroxyapatite/titanium oxide coating on titanium surface by sol-gel method

OBJECTIVES

To improve efficacy of current titanium and its alloys, in bioactivity and speed of osseointegration, of orthopaedic implants.

MATERIALS AND METHODS

A novel triple-layered functional graded coating, consisting of a porous hydroxyapatite (HA) outermost layer, fluoro-HA (FHA) intermediate layer and titanium oxide (TiO2 ) innermost layer, was created on a titanium substrate by a multistep sol-gel method. X-ray diffraction analysis showed TiO2 anatase and apatite crystallization in the coating.

RESULTS

Morphological analysis performed by scanning electron microscopy showed excellent bonding between coating and substrate, with a thickness of ~2 μm. Scratch testing found favourable adhesion strength of the composite coating. In addition, optical microscope images suggested good biocompatibility. Considering thet in vitro cell response, osteoblasts on the coating exhibited higher cell proliferation and ALP activity compared to pure titanium and HA coating, and demonstrated excellent coating bioactivity.

CONCLUSIONS

Current results indicated that the novel TiO2 /FHA/HA coating has promising clinical applications in orthopaedic and dental implantation.

Ozone reaction with clothing and its initiated VOC emissions in an environmental chamber

Human health is adversely affected by ozone and the volatile organic compounds (VOCs) produced from its reactions in the indoor environment. Hence, it is important to characterize the ozone-initiated reactive chemistry under indoor conditions and study the influence of different factors on these reactions. This investigation studied the ozone reactions with clothing through a series of experiments conducted in an environmental chamber under various conditions. The study found that the ozone reactions with a soiled (human-worn) T-shirt consumed ozone and generated VOCs. The ozone removal rate and deposition velocity for the T-shirt increased with the increasing soiling level and air change rate, decreased at high ozone concentrations, and were relatively unaffected by the humidity. The deposition velocity for the soiled T-shirt ranged from 0.15 to 0.29 cm/s. The ozone-initiated VOC emissions included C6-C10 straight-chain saturated aldehydes, acetone, and 4-OPA (4-oxopentanal). The VOC emissions were generally higher at higher ozone, humidity, soiling of T-shirt, and air change rate. The total molar yield was approximately 0.5 in most cases, which means that for every two moles of ozone removed by the T-shirt surface, one mole of VOCs was produced.

Using muscle gene expression to estimate triacylglyceride deposition, and relative contributions of fatty acid synthesis and fatty acid import in intramuscular fat in cattle

Intramuscular fat content (IMF%) in cattle influences the value of individual animals, especially for higher marbling markets. IMF is triacylglyceride (TAG) in lipid droplets in the intramuscular adipocytes. However, there are many different pathways from feed intake to the final common process of TAG synthesis and storage as IMF. To evaluate the relative importance of different pathways we compared changes in the expression of genes encoding proteins involved in the TAG and fatty acid (FA) synthesis pathways in the longissimus muscle of Piedmontese × Hereford (P×H) and Wagyu × Hereford (W×H) crosses. Based on these changes we have estimated the relative contributions of FA synthesised de novo in the intramuscular adipocyte and the uptake of circulating FA (both free and from TAG), from the diet or synthesised de novo in other tissues, to TAG deposition as IMF. We have analysed the impact of different developmental times and different diets on these processes. Increased de novo FA synthesis in intramuscular adipocytes appeared to contribute more than increased FA uptake from circulation to the additional TAG deposition in W×H compared with P×H cattle between 12 and 25 months (forage diet). Changing diet from forage to concentrate appeared to increase the importance of FA uptake from circulation relative to de novo FA synthesis for TAG synthesis in intramuscular adipocytes. These results are consistent with the literature based on analysis of lipid composition. Gene expression appears to provide a simple assay for identification of the source of FA for the deposition of IMF.

Abstract P3-14-11: Microarray data analysis and long term outcomes of NCIC-CTG MA.22: Neoadjuvant epirubicin and docetaxel with pegfilgrastim support for locally advanced breast cancer

Background: 93 patients were enrolled in sequential phase 1 and 2 trials of epirubicin (E) and docetaxel (D) given at 3 (cohort A) or 2 weekly (cohort B) intervals. We previously reported clinical (93%) and pathologic response rates (pCR 7%) as well as the association of fall in tumour RNA integrity (RIN) with response (ASCO 2010). Here we report the results of microarray analysis of tumor specimens pre-and mid-treatment to determine genes which are differentially expressed in different groups. Methods: 6 core biopsies were collected for all patients pre-, mid- and post-treatment with ED. 3 cores were used for standard pathologic assessment while 3 were used for gene expression assessment using Agilent full genome microarrays. Pre- and mid-treatment cores were used with Agilent Feature Extraction Software to assess microarrays; and baseline continuous (% positive) immunohistochemical ER, PR, HER2, and Topo2 were investigated by schedule and dose. RNAs with RIN &gt; = 5.0 were subjected to microarray analysis. NIH BRB array tools were used for investigations of differential gene expressions. K-M curves were generated for the phase 2 cohorts for disease free (DFS) and event free survival (EFS), and for ER− PR− and ER or PR+ subgroups. Results: Of the 93 patients, 47 were in cohort A and 46 in cohort B. Median overall survival was 6.34 years on study. DFS at 50 months was 55% for A (phase 2) and 67% for B (phase 2), while EFS was 55% for A and 63% for B. For ER or PR+ DFS and EFS were 60% and for ER− PR− DFS and EFS were 63%. 134 arrays were available in total: 57 from A, 68 from B with 11 reference breast tumour RNAs for standardization. Patients with and without microarrays were not significantly different. Pre-treatment, we found 3 differentially expressed genes in A and 6 in B between patients who did and did not have RIN &gt; = 5.0 at mid-treatment. Comparing CR to non-CR (PR, SD, PD), 40 genes were found for A and 2 genes for B. Many genes were also differentially expressed in A and B when analyzed by pathologic factors ER, PR, HER2, Topo2, schedule and dose. Mid-treatment, 4,365 genes in A and 18,770 genes in B were significantly different from pre-treatment. Conclusion: At 50 months, DFS was 55% for 3 weekly and 67% for 2 weekly schedules of ED. The genes identified in each cohort pretreatment will be investigated further for relevance to predicting sensitivity or resistance to E or D.

Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P3-14-11.

Abstract P1-08-24: High tumor RNA disruption is associated with increased survival in patients with locally advanced breast cancer

Background: We recently reported that epirubicin/docetaxel treatment of locally advanced breast cancer patients in the MA.22 clinical trial reduced tumor RNA integrity and that low mid-treatment tumor RNA integrity was associated with a pathologic complete response (pCR) post-treatment [Breast Cancer Res. Treat. 119:347-356]. A novel method for detection of chemotherapy-dependent loss of RNA integrity, the RNA disruption assay (RDA), has since been developed, which stratifies RNA disruption into 3 zones. Zone 1 represents drug effect inadequate to obtain a pCR [RNA disruption index (RDI) ≤ 10, NPV&gt;0.99]. Zone 2, an intermediate zone (RDI &gt;10 and ≤35) had 1 pCR in our study, while Zone 3 (RDI &gt;35) had the most pCRs (n = 7).

Methods: We have now evaluated the relationship between tumor RNA disruption and both treatment response and patient survival in all evaluable MA.22 patients (n = 85). RNA was isolated from 2-3 tumor biopsies/patient prior to and after 3 (Schedule A) or 4 (Schedule B) cycles of chemotherapy at 3- or 2-weekly intervals, respectively. RNA quality was assessed on an Agilent 2100 Bioanalyzer and RNA disruption quantified using RDA.

Results: Chemotherapy exposure reduced maximum tumor RNA content from 197 ± 24 ng/μl (mean ± standard error) pre-treatment to 94.0 ± 12.8 ng/μl mid-treatment, with maximum tumor RDI values increasing from 26.0 ± 5.8 to 88.1 ± 19.1 (p&lt;0.01 for both observations by Sign test). At the time of assessment, there were similar numbers of deceased patients across tumor RDA zones 1, 2, and 3 mid-treatment (7, 8, and 9 patients, respectively). In contrast, there were 2.9-fold more living patients with tumors in RDA zone 3 (29) than in zone 1 (10). Disease-free survival (DFS) was significantly greater (by 23.6 months) for zone 3 patients (56.9 ± 5.6 months) compared to zone 1 patients (33.3 ± 6.8 months) (p = 0.0096 by Mann Whitney Wilcoxon Test for this and all subsequent statistical tests). Living patients with tumor RDA values in zone 3 exhibited 24.5 months greater DFS than living patients with tumors in zone 1 (68.2 ± 5.5 months versus 43.7 ± 9.5 months, respectively; p = 0.015). Given their high frequency within the patient population, we were also able to conclude that greater DFS (an additional 28.6 months) could be seen for patients with estrogen receptor positive (ER+) tumors in zone 3 (59.2 ± 7.2 months) compared to patients with similar tumors in zone 1 (30.6 ± 6.3 months; p = 0.0088). Living patients with ER+ tumors in zone 3 had even greater DFS (+42.5 months) compared to living patients with ER+ tumors in zone 1 (71.8 ± 5.8 months versus 29.3 ± 8.7 months, respectively; p = 0.0012). There were also 2.5-fold more living patients with ER+ tumor RDA values in zone 3 (15) than in zone 1 (6). None of the above significant differences were observed when pre-treatment tumor RDI values or pre-treatment patient characteristics were assessed. Irrespective of breast tumor receptor subtype, chemotherapy-dependent RNA disruption mid-treatment was typically higher in patients that achieved a pCR post-treatment than for patients that did not.

Conclusions: Our findings suggest that tumor RNA disruption measurements during treatment will be highly useful to predict response and survival for locally advanced breast cancer patients. Our data demonstrate that non-responding patients (zone 1 by RDA) have considerably reduced DFS with very little chance of achieving a pCR. Such patients can be spared the toxicities associated with continuing an ineffective regimen and can be considered quickly for alternate treatments, including surgery, radiation therapy, or other anti-cancer drugs. The impact of treatment schedule and dose on RDA's ability to predict patient response and survival is currently being assessed.

Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P1-08-24.

MECP2 promotes cell proliferation by activating ERK1/2 and inhibiting p38 activity in human hepatocellular carcinoma HEPG2 cells

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide and currently represents the leading cause of death amongst cirrhotic patients, but the mechanisms remain unknown. In this experiment, we investigated the expression of Methyl CpG-binding protein 2 (MeCP2) in HCC, the effect of MeCP2 on the proliferation of human HCC HepG2 cells, and the activation of mitogen-activated protein kinases (MAPKs) signaling pathways. The results showed that MeCP2 expression levels was higher in human HCC tissue than normal hepatocellular tissue, and MeCP2 siRNA reduced the proliferation of HCC HepG2 cells by decreasing cell activity and cell division in vitro. After MeCP2 siRNA treatment, the proportion of G1/G0 phase cells increased, but the proportion of S and G2/M phase cells decreased, indicative of G1/G0 cell cycle arrest. Furthermore, the proportions of early and late apoptosis in HCC HepG2 cells were enhanced after MeCP2 siRNA treatment. It was also found that activation of extracellular signal-regulated protein kinase (ERK) and p38 signaling pathways were involved in the proliferation of HepG2 cells. After MeCP2 siRNA treatment, p-ERK1/2 levels decreased, but p-p38 levels increased. Our findings demonstrated that MeCP2 promoted the proliferation of human HCC HepG2 cells with activation of ERK1/2 signaling pathways, suggesting a novel mechanism for pharmacological study of treatment for human HCC.

Denis RD, Stahlman J, Stamen R, Stanecka E, Stanek RW, Stanescu C, Stanescu-Bellu M, Stanitzki MM, Stapnes S, Starchenko EA, Stark J, Staroba P, Starovoitov P, Staszewski R, Staude A, Stavina P, Steele G, Steinbach P, Steinberg P, Stekl I, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stern S, Stewart GA, Stillings JA, Stockton MC, Stoerig K, Stoicea G, Stonjek S, Strachota P, Stradling AR, Straessner A, Strandberg J, Strandberg S, Strandlie A, Strang M, Strauss E, Strauss M, Strizenec P, Ströhmer R, Strom DM, Strong JA, Stroynowski R, Strube J, Stugu B, Stumer I, Stupak J, Sturm P, Styles NA, Su D, Subramania HS, Succurro A, Sugaya Y, Suhr C, Suk M, Sulin VV, Sultansoy S, Sumida T, Sun X, Sundermann JE, Suruliz K, Susinno G, Sutton MR, Suzuki Y, Suzuki Y, Svatos M, Swedish S, Sykora I, Sykora T, Ta D, Tackmann K, Taffard A, Tafirout R, Taiblum N, Takahashi Y, Takai H, Takashima R, Takeda H, Takeshita T, Takubo Y, Talby M, Talyshev A, Tamsett MC, Tan KG, Tanaka J, Tanaka R, Tanaka S, Tanaka S, Tanasijczuk AJ, Tani K, Tannoury N, Tapprogge S, Tardif D, Tarem S, Tarrade F, Tartarelli GF, Tas P, Tasevsky M, Tassi E, Tatarkhanov M, Tayalati Y, Taylor C, Taylor FE, Taylor GN, Taylor W, Teinturier M, Teischinger FA, Teixeira Dias Castanheira M, Teixeira-Dias P, Temming KK, Ten Kate H, Teng PK, Terada S, Terashi K, Terron J, Testa M, Teuscher RJ, Therhaag J, Theveneaux-Pelzer T, Thoma S, Thomas JP, Thompson EN, Thompson PD, Thompson PD, Thompson AS, Thomsen LA, Thomson E, Thomson M, Thong WM, Thun RP, Tian F, Tibbetts MJ, Tic T, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tipton P, Tisserant S, Todorov T, Todorova-Nova S, Toggerson B, Tojo J, Tokár S, Tokushuku K, Tollefson K, Tomlinson L, Tomoto M, Tompkins L, Toms K, Tonoyan A, Topfel C, Topilin ND, Torchiani I, Torrence E, Torres H, Torró Pastor E, Toth J, Touchard F, Tovey DR, Trefzger T, Tremblet L, Tricoli A, Trigger IM, Trincaz-Duvoid S, Tripiana MF, Triplett N, Trischuk W, Trocmé B, Troncon C, Trottier-McDonald M, Trzebinski M, Trzupek A, Tsarouchas C, Tseng JCL, Tsiakiris M, Tsiareshka PV, Tsionou D, Tsipolitis G, Tsiskaridze S, Tsiskaridze V, Tskhadadze EG, Tsukerman II, Tsulaia V, Tsung JW, Tsuno S, Tsybychev D, Tua A, Tudorache A, Tudorache V, Tuggle JM, Turala M, Turecek D, Turk Cakir I, Turlay E, Turra R, Tuts PM, Tykhonov A, Tylmad M, Tyndel M, Tzanakos G, Uchida K, Ueda I, Ueno R, Ugland M, Uhlenbrock M, Uhrmacher M, Ukegawa F, Unal G, Undrus A, Unel G, Unno Y, Urbaniec D, Usai G, Uslenghi M, Vacavant L, Vacek V, Vachon B, Vahsen S, Valenta J, Valentinetti S, Valero A, Valkar S, Valladolid Gallego E, Vallecorsa S, Valls Ferrer JA, Van Berg R, Van Der Deijl PC, van der Geer R, van der Graaf H, Van Der Leeuw R, van der Poel E, van der Ster D, van Eldik N, van Gemmeren P, van Vulpen I, Vanadia M, Vandelli W, Vaniachine A, Vankov P, Vannucci F, Vari R, Varnes EW, Varol T, Varouchas D, Vartapetian A, Varvell KE, Vassilakopoulos VI, Vazeille F, Vazquez Schroeder T, Vegni G, Veillet JJ, Veloso F, Veness R, Veneziano S, Ventura A, Ventura D, Venturi M, Venturi N, Vercesi V, Verducci M, Verkerke W, Vermeulen JC, Vest A, Vetterli MC, Vichou I, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Viel S, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Vinek E, Vinogradov VB, Virchaux M, Virzi J, Vitells O, Viti M, Vivarelli I, Vives Vaque F, Vlachos S, Vladoiu D, Vlasak M, Vogel A, Vokac P, Volpi G, Volpi M, Volpini G, von der Schmitt H, von Radziewski H, von Toerne E, Vorobel V, Vorwerk V, Vos M, Voss R, Vossebeld JH, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vu Anh T, Vuillermet R, Vukotic I, Wagner W, Wagner P, Wahlen H, Wahrmund S, Wakabayashi J, Walch S, Walder J, Walker R, Walkowiak W, Wall R, Waller P, Walsh B, Wang C, Wang H, Wang H, Wang J, Wang J, Wang R, Wang SM, Wang T, Warburton A, Ward CP, Warsinsky M, Washbrook A, Wasicki C, Watanabe I, Watkins PM, Watson AT, Watson IJ, Watson MF, Watts G, Watts S, Waugh AT, Waugh BM, Weber MS, Weber P, Weidberg AR, Weigell P, Weingarten J, Weiser C, Wells PS, Wenaus T, Wendland D, Weng Z, Wengler T, Wenig S, Wermes N, Werner M, Werner P, Werth M, Wessels M, Wetter J, Weydert C, Whalen K, Wheeler-Ellis SJ, White A, White MJ, White S, Whitehead SR, Whiteson D, Whittington D, Wicek F, Wicke D, Wickens FJ, Wiedenmann W, Wielers M, Wienemann P, Wiglesworth C, Wiik-Fuchs LAM, Wijeratne PA, Wildauer A, Wildt MA, Wilhelm I, Wilkens HG, Will JZ, Williams E, Williams HH, Willis W, Willocq S, Wilson JA, Wilson MG, Wilson A, Wingerter-Seez I, Winkelmann S, Winklmeier F, Wittgen M, Wollstadt SJ, Wolter MW, Wolters H, Wong WC, Wooden G, Wosiek BK, Wotschack J, Woudstra MJ, Wozniak KW, Wraight K, Wright M, Wrona B, Wu SL, Wu X, Wu Y, Wulf E, Wynne BM, Xella S, Xiao M, Xie S, Xu C, Xu D, Yabsley B, Yacoob S, Yamada M, Yamaguchi H, Yamamoto A, Yamamoto K, Yamamoto S, Yamamura T, Yamanaka T, Yamaoka J, Yamazaki T, Yamazaki Y, Yan Z, Yang H, Yang UK, Yang Y, Yang Z, Yanush S, Yao L, Yao Y, Yasu Y, Ybeles Smit GV, Ye J, Ye S, Yilmaz M, Yoosoofmiya R, Yorita K, Yoshida R, Young C, Young CJ, Youssef S, Yu D, Yu DR, Yu J, Yu J, Yuan L, Yurkewicz A, Zabinski B, Zaidan R, Zaitsev AM, Zajacova Z, Zanello L, Zanzi D, Zaytsev A, Zeitnitz C, Zeman M, Zemla A, Zendler C, Zenin O, Ženiš T, Zenz S, Zerwas D, Zevi della Porta G, Zhan Z, Zhang D, Zhang H, Zhang J, Zhang X, Zhang Z, Zhao L, Zhao T, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou N, Zhou Y, Zhu CG, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhuravlov V, Zieminska D, Zimin NI, Zimmermann R, Zimmermann S, Zimmermann S, Zinonos Z, Ziolkowski M, Zitoun R, Živković L, Zmouchko VV, Zobernig G, Zoccoli A, zur Nedden M, Zutshi V, Zwalinski L. Improved luminosity determination in pp collisions at [Formula: see text] using the ATLAS detector at the LHC

The luminosity calibration for the ATLAS detector at the LHC during pp collisions at [Formula: see text] in 2010 and 2011 is presented. Evaluation of the luminosity scale is performed using several luminosity-sensitive detectors, and comparisons are made of the long-term stability and accuracy of this calibration applied to the pp collisions at [Formula: see text]. A luminosity uncertainty of [Formula: see text] is obtained for the 47 pb-1 of data delivered to ATLAS in 2010, and an uncertainty of [Formula: see text] is obtained for the 5.5 fb-1 delivered in 2011.

Denis RD, Stahlman J, Stamen R, Stanecka E, Stanek RW, Stanescu C, Stanescu-Bellu M, Stanitzki MM, Stapnes S, Starchenko EA, Stark J, Staroba P, Starovoitov P, Staszewski R, Staude A, Stavina P, Steele G, Steinbach P, Steinberg P, Stekl I, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stern S, Stewart GA, Stillings JA, Stockton MC, Stoerig K, Stoicea G, Stonjek S, Strachota P, Stradling AR, Straessner A, Strandberg J, Strandberg S, Strandlie A, Strang M, Strauss E, Strauss M, Strizenec P, Ströhmer R, Strom DM, Strong JA, Stroynowski R, Stugu B, Stumer I, Stupak J, Sturm P, Styles NA, Su D, Subramania HS, Subramaniam R, Succurro A, Sugaya Y, Suhr C, Suk M, Sulin VV, Sultansoy S, Sumida T, Sun X, Sundermann JE, Suruliz K, Susinno G, Sutton MR, Suzuki Y, Suzuki Y, Svatos M, Swedish S, Sykora I, Sykora T, Ta D, Tackmann K, Taffard A, Tafirout R, Taiblum N, Takahashi Y, Takai H, Takashima R, Takeda H, Takeshita T, Takubo Y, Talby M, Talyshev AA, Tamsett MC, Tan KG, Tanaka J, Tanaka R, Tanaka S, Tanaka S, Tanasijczuk AJ, Tani K, Tannoury N, Tapprogge S, Tardif D, Tarem S, Tarrade F, Tartarelli GF, Tas P, Tasevsky M, Tassi E, Tayalati Y, Taylor C, Taylor FE, Taylor GN, Taylor W, Teinturier M, Teischinger FA, Teixeira Dias Castanheira M, Teixeira-Dias P, Temming KK, Ten Kate H, Teng PK, Terada S, Terashi K, Terron J, Testa M, Teuscher RJ, Therhaag J, Theveneaux-Pelzer T, Thoma S, Thomas JP, Thompson EN, Thompson PD, Thompson PD, Thompson AS, Thomsen LA, Thomson E, Thomson M, Thong WM, Thun RP, Tian F, Tibbetts MJ, Tic T, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tiouchichine E, Tipton P, Tisserant S, Todorov T, Todorova-Nova S, Toggerson B, Tojo J, Tokár S, Tokushuku K, Tollefson K, Tomoto M, Tompkins L, Toms K, Tonoyan A, Topfel C, Topilin ND, Torrence E, Torres H, Torró Pastor E, Toth J, Touchard F, Tovey DR, Trefzger T, Tremblet L, Tricoli A, Trigger IM, Trincaz-Duvoid S, Tripiana MF, Triplett N, Trischuk W, Trocmé B, Troncon C, Trottier-McDonald M, True P, Trzebinski M, Trzupek A, Tsarouchas C, Tseng JCL, Tsiakiris M, Tsiareshka PV, Tsionou D, Tsipolitis G, Tsiskaridze S, Tsiskaridze V, Tskhadadze EG, Tsukerman II, Tsulaia V, Tsung JW, Tsuno S, Tsybychev D, Tua A, Tudorache A, Tudorache V, Tuggle JM, Turala M, Turecek D, Turk Cakir I, Turlay E, Turra R, Tuts PM, Tykhonov A, Tylmad M, Tyndel M, Uchida K, Ueda I, Ueno R, Ugland M, Uhlenbrock M, Uhrmacher M, Ukegawa F, Unal G, Undrus A, Unel G, Unno Y, Urbaniec D, Urquijo P, Usai G, Uslenghi M, Vacavant L, Vacek V, Vachon B, Vahsen S, Valenta J, Valentinetti S, Valero A, Valkar S, Valladolid Gallego E, Vallecorsa S, Valls Ferrer JA, Van Berg R, Van Der Deijl PC, van der Geer R, van der Graaf H, Van Der Leeuw R, van der Poel E, van der Ster D, van Eldik N, van Gemmeren P, van Vulpen I, Vanadia M, Vandelli W, Vaniachine A, Vankov P, Vannucci F, Vardanyan G, Vari R, Varnes EW, Varol T, Varouchas D, Vartapetian A, Varvell KE, Vassilakopoulos VI, Vazeille F, Vazquez Schroeder T, Vegni G, Veillet JJ, Veloso F, Veness R, Veneziano S, Ventura A, Ventura D, Venturi M, Venturi N, Vercesi V, Verducci M, Verkerke W, Vermeulen JC, Vest A, Vetterli MC, Vichou I, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Viel S, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Vinek E, Vinogradov VB, Virchaux M, Virzi J, Vitells O, Viti M, Vivarelli I, Vives Vaque F, Vlachos S, Vladoiu D, Vlasak M, Vogel A, Vokac P, Volpi G, Volpi M, Volpini G, von der Schmitt H, von Radziewski H, von Toerne E, Vorobel V, Vorwerk V, Vos M, Voss R, Vossebeld JH, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vu Anh T, Vuillermet R, Vukotic I, Wagner W, Wagner P, Wahrmund S, Wakabayashi J, Walch S, Walder J, Walker R, Walkowiak W, Wall R, Waller P, Walsh B, Wang C, Wang H, Wang H, Wang J, Wang J, Wang R, Wang SM, Wang T, Warburton A, Ward CP, Wardrope DR, Warsinsky M, Washbrook A, Wasicki C, Watanabe I, Watkins PM, Watson AT, Watson IJ, Watson MF, Watts G, Watts S, Waugh AT, Waugh BM, Weber MS, Webster JS, Weidberg AR, Weigell P, Weingarten J, Weiser C, Wells PS, Wenaus T, Wendland D, Weng Z, Wengler T, Wenig S, Wermes N, Werner M, Werner P, Werth M, Wessels M, Wetter J, Weydert C, Whalen K, White A, White MJ, White S, Whitehead SR, Whiteson D, Whittington D, Wicek F, Wicke D, Wickens FJ, Wiedenmann W, Wielers M, Wienemann P, Wiglesworth C, Wiik-Fuchs LAM, Wijeratne PA, Wildauer A, Wildt MA, Wilhelm I, Wilkens HG, Will JZ, Williams E, Williams HH, Willis W, Willocq S, Wilson JA, Wilson MG, Wilson A, Wingerter-Seez I, Winkelmann S, Winklmeier F, Wittgen M, Wollstadt SJ, Wolter MW, Wolters H, Wong WC, Wooden G, Wosiek BK, Wotschack J, Woudstra MJ, Wozniak KW, Wraight K, Wright M, Wrona B, Wu SL, Wu X, Wu Y, Wulf E, Wynne BM, Xella S, Xiao M, Xie S, Xu C, Xu D, Xu L, Yabsley B, Yacoob S, Yamada M, Yamaguchi H, Yamamoto A, Yamamoto K, Yamamoto S, Yamamura T, Yamanaka T, Yamazaki T, Yamazaki Y, Yan Z, Yang H, Yang UK, Yang Y, Yang Z, Yanush S, Yao L, Yao Y, Yasu Y, Ybeles Smit GV, Ye J, Ye S, Yilmaz M, Yoosoofmiya R, Yorita K, Yoshida R, Yoshihara K, Young C, Young CJS, Youssef S, Yu D, Yu DR, Yu J, Yu J, Yuan L, Yurkewicz A, Zabinski B, Zaidan R, Zaitsev AM, Zajacova Z, Zanello L, Zanzi D, Zaytsev A, Zeitnitz C, Zeman M, Zemla A, Zendler C, Zenin O, Ženiš T, Zerwas D, Zevi della Porta G, Zhang D, Zhang H, Zhang J, Zhang X, Zhang Z, Zhao L, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou N, Zhou Y, Zhu CG, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhuravlov V, Zibell A, Zieminska D, Zimin NI, Zimmermann R, Zimmermann S, Zimmermann S, Zinonos Z, Ziolkowski M, Zitoun R, Živković L, Zmouchko VV, Zobernig G, Zoccoli A, zur Nedden M, Zutshi V, Zwalinski L. Measurement of the inclusive jet cross-section in pp collisions at [Formula: see text] and comparison to the inclusive jet cross-section at [Formula: see text] using the ATLAS detector

The inclusive jet cross-section has been measured in proton-proton collisions at [Formula: see text] in a dataset corresponding to an integrated luminosity of [Formula: see text] collected with the ATLAS detector at the Large Hadron Collider in 2011. Jets are identified using the anti-kt algorithm with two radius parameters of 0.4 and 0.6. The inclusive jet double-differential cross-section is presented as a function of the jet transverse momentum pT and jet rapidity y, covering a range of 20≤pT<430 GeV and |y|<4.4. The ratio of the cross-section to the inclusive jet cross-section measurement at [Formula: see text], published by the ATLAS Collaboration, is calculated as a function of both transverse momentum and the dimensionless quantity [Formula: see text], in bins of jet rapidity. The systematic uncertainties on the ratios are significantly reduced due to the cancellation of correlated uncertainties in the two measurements. Results are compared to the prediction from next-to-leading order perturbative QCD calculations corrected for non-perturbative effects, and next-to-leading order Monte Carlo simulation. Furthermore, the ATLAS jet cross-section measurements at [Formula: see text] and [Formula: see text] are analysed within a framework of next-to-leading order perturbative QCD calculations to determine parton distribution functions of the proton, taking into account the correlations between the measurements.