Oxidative stress in rats with hyperhomo-cysteinemia and intervention effect of lutein

AIM

The current study aims to explore the possible molecular mechanism of hyperhomocysteinemia (HHcy) mediated atherosclerosis (AS) and to find an effective intervention method for AS.

MATERIALS AND METHODS

A total of 40 Wistar rats were equalized into four groups: blank control, HHcy, folacin intervention, and lutein intervention groups. HHcy rat models were established. The intervention groups were respectively lavaged with folacin and lutein. Oxidative stress states, the levels of nitric oxide (NO) and endothelin-1 (ET-1), as well as the expression of nuclear factor (NF)-κB p65 and intercellular adhesion molecule (ICAM)-1 were compared.

RESULTS

In the HHcy rats, the activity of serum superoxide dismutase (SOD) and glutathione peroxidase (GPx) significantly decreased, whereas the malondialdehyde content and hydroxyl radical level noticeably increased, indicating that the rats stayed in aggravated oxidative stress states. Lutein intervention inhibited HHcy-induced oxidative stress excitement. In the HHcy rats, the NO level significantly decreased, whereas the ET-1 level significantly increased, indicating that HHcy mediated vascular endothelial dysfunction. Lutein reversed such dysfunction. In the HHcy rats, the mRNA and protein expression of SOD2 and GPX1 in the aortic wall tissue decreased, whereas that of NF-κB p65 and ICAM-1 increased. Lutein significantly upregulated the mRNA and protein expression of SOD2 and GPx1 and downregulated the expression of NF-κB p65 and ICAM-1.

CONCLUSIONS

Oxidative stress and inflammation are the important mechanisms of HHcy-mediated AS. In particular, HHcy-induced aggravated oxidative stress may function as the initial AS-mediating mechanism, upregulating the expression of NF-κB p65 and ICAM-1 and thereby becoming associated with AS. Lutein noticeably intervenes in and inhibits Hcy-mediated oxidative stress excitement and downregulates the expression of inflammation-associated informational molecules.

RNAi-mediated knockdown of FANCF suppresses cell proliferation, migration, invasion, and drug resistance potential of breast cancer cells

Fanconi anemia complementation group F protein (FANCF) is a key factor, which maintains the function of FA/BRCA, a DNA damage response pathway. However, the functional role of FANCF in breast cancer has not been elucidated. We performed a specific FANCF-shRNA knockdown of endogenous FANCF in vitro. Cell viability was measured with a CCK-8 assay. DNA damage was assessed with an alkaline comet assay. Apoptosis, cell cycle, and drug accumulation were measured by flow cytometry. The expression levels of protein were determined by Western blot using specific antibodies. Based on these results, we used cell migration and invasion assays to demonstrate a crucial role for FANCF in those processes. FANCF shRNA effectively inhibited expression of FANCF. We found that proliferation of FANCF knockdown breast cancer cells (MCF-7 and MDA-MB-435S) was significantly inhibited, with cell cycle arrest in the S phase, induction of apoptosis, and DNA fragmentation. Inhibition of FANCF also resulted in decreased cell migration and invasion. In addition, FANCF knockdown enhanced sensitivity to doxorubicin in breast cancer cells. These results suggest that FANCF may be a potential target for molecular, therapeutic intervention in breast cancer.

TaALMT1 promoter sequence compositions, acid tolerance, and Al tolerance in wheat cultivars and landraces from Sichuan in China

Previous genetic studies on wheat from various sources have indicated that aluminum (Al) tolerance may have originated independently in USA, Brazil, and China. Here, TaALMT1 promoter sequences of 92 landraces and cultivars from Sichuan, China, were sequenced. Five promoter types (I', II, III, IV, and V) were observed in 39 cultivars, and only three promoter types (I, II, and III) were observed in 53 landraces. Among the wheat collections worldwide, only the Chinese Spring (CS) landrace native to Sichuan, China, carried the TaALMT1 promoter type III. Besides CS, two other Sichuan-bred landraces and six cultivars with TaALMT1 promoter type III were identified in this study. In the phylogenetic tree constructed based on the TaALMT1 promoter sequences, type III formed a separate branch, which was supported by a high bootstrap value. It is likely that TaALMT1 promoter type III originated from Sichuan-bred wheat landraces of China. In addition, the landraces with promoter type I showed the lowest Al tolerance among all landraces and cultivars. Furthermore, the cultivars with promoter type IV showed better Al tolerance than landraces with promoter type II. A comparison of acid tolerance and Al tolerance between cultivars and landraces showed that the landraces had better acid tolerance than the cultivars, whereas the cultivars showed better Al tolerance than the landraces. Moreover, significant difference in Al tolerance was also observed between the cultivars raised by the National Ministry of Agriculture and by Sichuan Province. Among the landraces from different regions, those from the East showed better acid tolerance and Al tolerance than those from the South and West of Sichuan. Additional Al-tolerant and acid-tolerant wheat lines were also identified.

Green tea extract and its major constituent, epigallocatechin-3-gallate, induce epithelial beta-defensin secretion and prevent beta-defensin degradation by Porphyromonas gingivalis

BACKGROUND AND OBJECTIVE

Antimicrobial peptides, such as beta-defensins, secreted by gingival epithelial cells, are thought to play a major role in preventing periodontal diseases. In the present study, we investigated the ability of green tea polyphenols to induce human beta-defensin (hBD) secretion in gingival epithelial cells and to protect hBDs from proteolytic degradation by Porphyromonas gingivalis.

MATERIAL AND METHODS

Gingival epithelial cells were treated with various amounts (25-200 μg/mL) of green tea extract or epigallocatechin-3-gallate (EGCG). The secretion of hBD1 and hBD2 was measured using ELISAs, and gene expression was quantified by real-time PCR. The treatments were also carried out in the presence of specific kinase inhibitors to identify the signaling pathways involved in hBD secretion. The ability of green tea extract and EGCG to prevent hBD degradation by proteases of P. gingivalis present in a bacterial culture supernatant was evaluated by ELISA.

RESULTS

The secretion of hBD1 and hBD2 was up-regulated, in a dose-dependent manner, following the stimulation of gingival epithelial cells with a green tea extract or EGCG. Expression of the hBD gene in gingival epithelial cells treated with green tea polyphenols was also increased. EGCG-induced secretion of hBD1 and hBD2 appeared to involve extracellular signal-regulated kinase 1/2 and p38 mitogen-activated protein kinase. Lastly, green tea extract and EGCG prevented the degradation of recombinant hBD1 and hBD2 by a culture supernatant of P. gingivalis.

CONCLUSION

Green tea extract and EGCG, through their ability to induce hBD secretion by epithelial cells and to protect hBDs from proteolytic degradation by P. gingivalis, have the potential to strengthen the epithelial antimicrobial barrier. Future clinical studies will indicate whether these polyphenols represent a valuable therapeutic agent for treating/preventing periodontal diseases.

Migration and leaching risk of extraneous antimony in three representative soils of China: lysimeter and batch experiments

Antimony (Sb) distribution, solubility and mobility onto natural soils of China were studied in lysimeter and batch experiments as a function of physicochemical properties of the soil. An outdoor lysimeter experiment investigated the leaching and migration of Sb in the soils with Sb-polluted topsoil and unpolluted subsoil over a 5month period. Soil solutions were collected by suction cups installed at different depth of lysimeters, and leachates were regularly collected and analyzed for Sb concentrations. The majority of the added Sb was retained in the topsoil layers, but small portions were moved to the sub-layers. Sb concentrations in the soil solutions and leachates ranged from 0-755.5 (6.38±54 on average) μg l(-1) and 0-0.45 (smaller than the detection limit) μg l(-1) respectively, indicating the low solubility of Sb in the soils. Batch experiments were performed in order to determine the sorption capacity and the partition coefficient (Kd). Freundlich isotherm described properly the equilibrium experimental data and results show that the Kd values for Primosol, Isohumosol, Ferrosol equal to 22.5, 87.8, 704 L kg(-1), respectively. These results showed the strong capacity of the soils to retain Sb, and prevent it being leached down the profile. The mobilizable Sb was in the order: Primosol>Isohumosol>Ferrosol. Sb migration in the soils was mainly associated with the exchangeable, carbonate-bound, and metal-organic complex-bound fractions. Health risk assessment indicates that Sb leaching from Ferrosol will not harm to human health through groundwater under the test conditions, while it has certain health risks from the Isohumosol and Primosol.

The MYB proto-oncogene suppresses monocytic differentiation of acute myeloid leukemia cells via transcriptional activation of its target gene GFI1

The MYB gene is a master regulator of hematopoiesis and contributes to leukemogenesis in several species including humans. Although it is clear that MYB can promote proliferation, suppress apoptosis and block differentiation, the identities of the MYB target genes that mediate these effects have only been partially elucidated. Several studies, including our own, have collectively identified substantial numbers of MYB target genes, including candidates for each of these activities; however, functional validation, particularly in the case of differentiation suppression, has lagged well behind. Here we show that GFI1, which encodes an important regulator of hematopoietic stem cell (HSC) function and granulocytic differentiation, is a direct target of MYB in myeloid leukemia cells. Chromatin immunoprecipitation and reporter studies identified a functional MYB-binding site in the promoter region of GFI, whereas ectopic expression and small hairpin RNA-mediated knockdown of MYB resulted in concomitant increases and decreases, respectively, in GFI1 expression. We also demonstrate that GFI1, like MYB, can block the induced monocytic differentiation of a human acute myeloid leukemia cell line, and most importantly, that GFI1 is essential for MYB's ability to block monocytic differentiation. Thus, we have identified a target of MYB that is a likely mediator of its myeloid differentiation-blocking activity, and which may also be involved in MYB's activities in regulating normal HSC function and myeloid differentiation.

Glycogen synthase kinase-3 reduces acetylcholine level in striatum via disturbing cellular distribution of choline acetyltransferase in cholinergic interneurons in rats

Cholinergic interneurons, which provide the main source of acetylcholine (ACh) in the striatum, control the striatal local circuits and deeply involve in the pathogenesis of neurodegenerative diseases. Glycogen synthase kinase-3 (GSK-3) is a crucial kinase with diverse fundamental functions and accepted that deregulation of GSK-3 activity also plays important roles in diverse neurodegenerative diseases. However, up to now, there is no direct proof indicating whether GSK-3 activation is responsible for cholinergic dysfunction. In the present study, with combined intracerebroventricular injection of Wortmannin and GF-109203X, we activated GSK-3 and demonstrated the increased phosphorylation level of microtubule-associated protein tau and neurofilaments (NFs) in the rat striatum. The activated GSK-3 consequently decreased ACh level in the striatum as a result of the reduction of choline acetyltransferase (ChAT) activity. The alteration of ChAT activity was due to impaired ChAT distribution rather than its expression. Furthermore, we proved that cellular ChAT distribution was dependent on low phosphorylation level of NFs. Nevertheless, the cholinergic dysfunction in the striatum failed to induce significant neuronal number reduction. In summary, our data demonstrates the link between GSK-3 activation and cholinergic dysfunction in the striatum and provided beneficial evidence for the pathogenesis study of relevant neurodegenerative diseases.

The outcome and efficacy of recanalization in patients with acute internal carotid artery occlusion

BACKGROUND AND PURPOSE

Acute occlusion of the ICA is often associated with poor outcomes and severe neurologic deficits. This study was conducted to evaluate outcome of the occluded ICA and efficacy of recanalization under protective flow arrest.

MATERIALS AND METHODS

Fifty consecutive patients who underwent endovascular treatment for acute ICA occlusion were identified from the prospectively collected data base. We assessed NIHSSo, occlusion type (cardioembolism vs atherosclerosis), occlusion level (supraclinoid-terminal, petrocavernous, or bulb-cervical), recanalization degree (TICI), and efficacy of recanalization (protective flow arrest vs nonprotection) leading to better outcome.

RESULTS

Successful recanalization (TICI ≥ 2) was obtained in 90% of patients and good recovery (mRS ≤ 2) in 60% of patients. Good outcome was related to National Institutes of Health Stroke Scale score on admission (P < .001), TICI (P < .007), occlusion type (P = .022), and occlusion level (P = .038). Poor initial patient status, less recanalization, cardioembolism, and supraclinoid-terminal occlusion were associated with poor prognosis. Application of protective flow arrest led to better outcome in the distal ICA segment than in the bulb-cervical segment.

CONCLUSIONS

In addition to the initial patient status and successful recanalization, the occlusion level or type of the occluded ICA could affect clinical outcome. In this study, treatment benefits of protective flow arrest were accentuated in patients with ICA occlusion above the bulb-cervical segment.

Relationship of serum interleukin-10 and its genetic variations with ischemic stroke in a Chinese general population

BACKGROUND AND PURPOSE

Anti-inflammatory cytokine and its genetic variations may play an important role in the process of atherosclerosis. We assessed whether serum interleukin-10 (IL-10) and its genetic variations are associated with ischemic stroke in a Chinese general population.

METHODS

An epidemiological survey on cardiovascular diseases and their risk factors was carried in a general population in Beijing in 2005. Serum IL-10, IL-6, p-selectin, soluble intercellular adhesion molecule-1 and C-reactive protein were analyzed using ELISA kits, while three IL-10 Single Nucleotide Polymorphisms (SNP) (rs1800872, rs1554286 and rs3021094) were genotyped in 1475 participants.

RESULTS

A high serum IL-10 (top tertile) was significantly associated with ischemic stroke (multivariable adjusted odds ratio (OR) =0.50; 95%CI 0.31-0.81). Rs1800872 (AA vs. AC+CC genotype, OR=1.60; 1.06-2.39), rs1554286(TT vs. CT+CC genotype, OR=1.59; 1.06-2.39), and rs3021094 (CC/CA vs. AA genotype, OR=1.64; 1.04-2.60) were all significantly associated with ischemic stroke even after controlling for age, sex, smoking, systolic blood pressure, total cholesterol, glucose, body mass index and serum IL-10. The SNP score (a summary index of these SNPs) and IL-10 (top tertile) together significantly improved the discriminative power in predicting ischemic stroke by 3.3% (95%CI: 0.2-6.4, p=0.0398) compared to predictions based on conventional risk factors alone.

CONCLUSIONS

The lower serum IL-10 concentration and its selected genetic variations were significantly associated with an increased likelihood of ischemic stroke in this cross-sectional study. Our results suggest that more prospective studies should be conducted to provide stronger evidence justifying the use of IL-10 and its SNPs as new biomarkers to identify a predisposition towards ischemic stroke.

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.

Identification of SNP markers for inferring phylogeny in temperate bamboos (Poaceae: Bambusoideae) using RAD sequencing

Phylogenetic relationships among temperate species of bamboo are difficult to resolve, owing to both the challenge of detecting sufficiently variable markers and their polyploid history. Here, we use restriction site-associated DNA sequencing to identify candidate loci with fixed allelic differences segregating between and within two temperate species of bamboos: Arundinaria faberi and Yushania brevipaniculata. Approximately 27 million paired-end sequencing reads were generated across four samples. From pooled data, we assembled 67 685 and 70 668 de novo contigs from partial overlap among paired-end reads, with an average length of 240 and 241 bp for the two species, respectively, which were used to investigate functional classification of RAD tags in a blastx search. Analysed separately by population, we recovered 29 443 putatively orthologous RAD tags shared across the four sampled populations, containing 28 023 sequence variants, of which c. 13 000 are segregating between species, and c. 3000 segregating between populations within each species. Analyses based on these RAD tags yielded robust phylogenetic inferences, even with data set constructed from surprisingly few loci. This study illustrates the potential for reduced-representation genome data to resolve difficult phylogenetic relationships in temperate bamboos.