Treatment modality selection and prognosis of early stage small cell lung cancer: retrospective analysis from a single cancer institute

We evaluated the role of surgery followed by either chemotherapy (ChT) alone or chemotherapy and thoracic radiotherapy (ChT/TRT) versus sequential ChT/TRT in patients with clinical stage I or stage II small cell lung cancer (SCLC). Ninety-six patients received surgery (complete resection) followed by either ChT alone or ChT/TRT (Group I), while 49 patients were treated exclusively with sequential ChT/TRT (Group II). The ChT regimens consisted of either carboplatin/etoposide or cisplatin/etoposide. The total TRT dose was 50-60 Gy. For the whole group (n = 145), the median survival time was 54 months, and the 5-year overall survival (OS) rate was 48%. The corresponding figures for Group I were 91 months and 57%, respectively, and for Group II, they were 34.6 months and 31.4% respectively (P = 0.004). Multivariate analysis revealed that a Karnofsky Performance Status score ≥ 80 [hazard ratio (HR), 0.281; P = 0.015] and the treatment modality including surgery (HR, 0.503; P = 0.004) were independent favourable prognostic factors for OS.

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, Stoebe M, 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, Turra R, Tuts PM, Tykhonov A, Tylmad M, Tyndel M, Tzanakos G, Uchida K, Ueda I, Ueno R, Ughetto M, Ugland M, Uhlenbrock M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Urbaniec D, Urquijo P, Usai G, Vacavant L, Vacek V, Vachon B, Vahsen S, Valentinetti S, Valero A, Valery L, 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 Nieuwkoop J, 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, 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, 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, Williams S, 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, Yamauchi K, Yamazaki T, Yamazaki Y, Yan Z, Yang H, Yang H, Yang UK, Yang Y, Yang Z, Yanush S, Yao L, Yasu Y, Yatsenko E, Ye J, Ye S, Yen AL, Yilmaz M, Yoosoofmiya R, Yorita K, Yoshida R, Yoshihara K, Young C, Young CJ, Youssef S, Yu D, Yu DR, Yu J, Yu J, Yuan L, Yurkewicz A, Zabinski B, Zaidan R, Zaitsev AM, Zanello L, Zanzi D, Zaytsev A, Zeitnitz C, Zeman M, Zemla A, 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. Search for a light charged Higgs boson in the decay channel [Formula: see text] in [Formula: see text] events using pp collisions at [Formula: see text] with the ATLAS detector

A search for a charged Higgs boson (H+) in [Formula: see text] decays is presented, where one of the top quarks decays via t→H+b, followed by H+→ two jets ([Formula: see text]). The other top quark decays to Wb, where the W boson then decays into a lepton (e/μ) and a neutrino. The data were recorded in pp collisions at [Formula: see text] by the ATLAS detector at the LHC in 2011, and correspond to an integrated luminosity of 4.7 fb-1. With no observation of a signal, 95 % confidence level (CL) upper limits are set on the decay branching ratio of top quarks to charged Higgs bosons varying between 5 % and 1 % for H+ masses between 90 GeV and 150 GeV, assuming [Formula: see text].

Expression pattern of Boule in dairy goat testis and its function in promoting the meiosis in male germline stem cells (mGSCs)

Boule is a conserved gene in meiosis, which encodes RNA binding protein required for spermatocyte meiosis. Deletion of Boule was found to block meiosis in spermatogenesis, which contributes to infertility. Up to date, the expression and function of Boule in the goat testis are not known. The objectives of this study were to investigate the expression pattern of Boule in dairy goat testis and their function in male germline stem cells (mGSCs). The results first revealed that the expression level of Boule in adult testes was significantly higher than younger and immature goats, and azoospermia and male intersex testis. Over-expression of Boule promoted the expression of meiosis-related genes in dairy goat mGSCs. The expression of Stra8 was up-regulated by over-expression of Boule analyzed by Western blotting and Luciferase reporter assay. While, Cdc25a, the downstream regulator of Boule, was found not to affect the expression of Stra8, and our data illustrated that Cdc25a did not regulate meiosis via Stra8. The expression of Stra8 and Boule was up-regulated by RA induction. Taken together, results suggest the Boule plays an important role in dairy goat spermatogenesis and that over-expression of Boule may promote spermatogenesis and meiosis in dairy goat.

Scalable, printable, surfactant-free graphene ink directly from graphite

In this manuscript, we develop printable graphene ink through a solvent-exchange method. Printable graphene ink in ethanol and water free of any surfactant is dependent on matching the surface tension of the cross-solvent with the graphene surface energy. Percolative transport behavior is observed for films made of this printable ink. Optical conductivity is then calculated based on sheet resistance, optical transmittance, and thickness. Upon analyzing the ratio of dc/optical conductivity versus flake size/layer number, we report that our dc/optical conductivity is among the highest of films based on direct deposited graphene ink. This is the first demonstration of scalable, printable, surfactant-free graphene ink derived directly from graphite.

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, Stoebe M, 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, Swiatlowski M, 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, Tam JYC, 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, Tomlinson L, 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, Tran HL, Trefzger T, Tremblet L, Tricoli A, Trigger IM, Trincaz-Duvoid S, Tripiana MF, Triplett N, Trischuk W, Trocmé B, Troncon C, Trottier-McDonald M, Trovatelli 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, Turra R, Tuts PM, Tykhonov A, Tylmad M, Tyndel M, Tzanakos G, Uchida K, Ueda I, Ueno R, Ughetto M, Ugland M, Uhlenbrock M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Urbaniec D, Urquijo P, Usai G, Vacavant L, Vacek V, Vachon B, Vahsen S, Valencic N, Valentinetti S, Valero A, Valery L, 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 Nieuwkoop J, 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, Veloso F, 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, 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, Vykydal Z, 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 K, Wang R, Wang SM, Wang T, Wang X, 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, 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, Williams S, Willis W, Willocq S, Wilson JA, Wilson MG, Wilson A, Wingerter-Seez I, Winkelmann S, Winklmeier F, Wittgen M, Wittig T, Wittkowski J, 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, Yamaguchi Y, Yamamoto A, Yamamoto K, Yamamoto S, Yamamura T, Yamanaka T, Yamauchi K, Yamazaki T, Yamazaki Y, Yan Z, Yang H, Yang H, Yang UK, Yang Y, Yang Z, Yanush S, Yao L, Yasu Y, Yatsenko E, Ye J, Ye S, Yen AL, 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, Zambito S, Zanello L, Zanzi D, Zaytsev A, Zeitnitz C, Zeman M, Zemla A, Zenin O, Ženiš T, Zerwas D, Zevi della Porta G, Zhang D, Zhang H, Zhang J, Zhang L, 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 kT splitting scales in W→ℓν events at [Formula: see text] with the ATLAS detector

A measurement of splitting scales, as defined by the kT clustering algorithm, is presented for final states containing a W boson produced in proton-proton collisions at a centre-of-mass energy of 7 TeV. The measurement is based on the full 2010 data sample corresponding to an integrated luminosity of 36 pb-1 which was collected using the ATLAS detector at the CERN Large Hadron Collider. Cluster splitting scales are measured in events containing W bosons decaying to electrons or muons. The measurement comprises the four hardest splitting scales in a kT cluster sequence of the hadronic activity accompanying the W boson, and ratios of these splitting scales. Backgrounds such as multi-jet and top-quark-pair production are subtracted and the results are corrected for detector effects. Predictions from various Monte Carlo event generators at particle level are compared to the data. Overall, reasonable agreement is found with all generators, but larger deviations between the predictions and the data are evident in the soft regions of the splitting scales.

Influences of Sr dose on the crystal structure parameters and Sr distributions of Sr-incorporated hydroxyapatite

Stoichiometric strontium-incorporated hydroxyapatite (Sr-HA) with different Sr concentrations [Sr/(Sr+Ca)] were synthesized using a wet chemical approach and characterized by X-ray diffraction, Fourier-transformed infrared absorption, X-ray photoelectron spectroscopy, and Rietveld Structure Refinement. The crystal lattice parameter, Sr distribution, chemical state of Sr, and also the relationships between their variations and the Sr concentrations have been intensively studied. The results show that both the crystal lattice parameters and crystal plane space of Sr-HA remarkably increase with the Sr concentration increasing. Whether Sr preferably occupies the Ca(I) site or Ca(II) site after incorporated into apatite lattice depends on the Sr number incorporated into apatite. All the Sr ions completely occupy the Ca(II) sites when the Sr concentration is below 5%. With the exception of partial Sr ions occupying the Ca(II) sites, the other Sr ions start to occupy the Ca(I) sites when the Sr concentration doped in HA is beyond 10%. The ratio of Sr ions occupying the Ca(I) sites increases with the further raising Sr concentration up to 20%. The Sr ions inherit the chemical state and environment of the original Ca(I) or Ca(II) site after incorporated into apatite.

The effects of Nanos2 on Boule and Stra8 in male germline stem cells (mGSCs)

The mitosis-meiosis switch is a key event in the differentiation of germ cells. Meiosis is important in development biology, however, it has not been clear what is the regulation mechanism in mammals. Our previous study showed that Boule could activate Stra8 directly and result in the meiosis initiation of dairy goat male germline stem cells (mGSCs). Nanos2, a RNA-binding protein, plays critical roles in the suppression of meiosis by preventing Stra8 expression and maintain the male germ cell development. The main purpose of this study was to explore whether Nanos2 represses Stra8 transcription through Boule or not. We found ectopic over-expression of Nanos2 in GC-1 and mGSCs down-regulated Stra8 transcription and translation, and Boule expression was not affected. It was in consistent with our expectation that RA could up-regulate Boule and Stra8 expression, but down-regulate Nanos2 expression in mGSCs. In dairy goat, the expression levels of Boule and Stra8 would rise with the increase of age, but the expression level of Nanos2 in 90 dpp and adult testis had not shown a clear change. In conclusion, Nanos2 represses Stra8 expression but not through Boule in dairy goat mGSCs.

miR-34c works downstream of p53 leading to dairy goat male germline stem-cell (mGSCs) apoptosis

OBJECTIVES

Recent lines of evidence have indicated that miR-34c can play important roles in regulation of the cell cycle, cell senescence and apoptosis of mouse and human tumour cells, spermatogenesis, and male germ-cell apoptosis. However, there is little information on the effects of miR-34c on proliferation and apoptosis of livestock male germ cells. The dairy goat is a convenient domestic species for biological investigation and application. The purpose of this study was to investigate the effects of miR-34c on apoptosis and proliferation of dairy goat male germline stem cells (mGSCs), as well as to determine the relationship between p53 and miR-34c in this species.

MATERIALS AND METHODS

Morphological observation, miRNA in situ hybridisation (ISH), bromodeoxyuridine staining, flow cytometry, quantitative-RT-PCR (Q-RT-PCR) and western blotting were utilized to ascertain apoptosis and proliferation of mGSCs, through transfection of miR-34c mimics (miR-34c), miR-34c inhibitor (anti-miR-34c), miR-34c mimics and inhibitors co-transfected (mixture) compared to control groups.

RESULTS

Results manifested that miR-34c over-expression promoted mGSCs apoptosis and suppressed their proliferation. Simultaneously, a variety of apoptosis-related gene expression was increased while some proliferation-related genes were downregulated. Accordingly, miR-34c promoted apoptosis in mGSCs and reduced their proliferation; moreover, expression of miR-34c was p53-dependent.

CONCLUSIONS

This study is the first to provide a model for study of miRNAs and mechanisms of proliferation and apoptosis in male dairy goat germ cells.

Observation of associated near-side and away-side long-range correlations in sqrt[s(NN)]=5.02 TeV proton-lead collisions with the ATLAS detector

Two-particle correlations in relative azimuthal angle (Δø) and pseudorapidity (Δη) are measured in sqrt[s(NN)] = 5.02 TeV p+Pb collisions using the ATLAS detector at the LHC. The measurements are performed using approximately 1 μb(-1) of data as a function of transverse momentum (p(T)) and the transverse energy (ΣE(T)(Pb)) summed over 3.1 < η < 4.9 in the direction of the Pb beam. The correlation function, constructed from charged particles, exhibits a long-range (2 < |Δ η | < 5) "near-side" (Δø ~ 0) correlation that grows rapidly with increasing ΣE(T)(Pb). A long-range "away-side" (Δø ~ π) correlation, obtained by subtracting the expected contributions from recoiling dijets and other sources estimated using events with small ΣE(T)(Pb), is found to match the near-side correlation in magnitude, shape (in Δη and Δø) and ΣE(T)(Pb) dependence. The resultant Δø correlation is approximately symmetric about π/2, and is consistent with a dominant cos2Δø modulation for all ΣE(T)(Pb) ranges and particle p(T).

Alterations in metabolic pathways and networks in Alzheimer's disease

The pathogenic mechanisms of Alzheimer's disease (AD) remain largely unknown and clinical trials have not demonstrated significant benefit. Biochemical characterization of AD and its prodromal phase may provide new diagnostic and therapeutic insights. We used targeted metabolomics platform to profile cerebrospinal fluid (CSF) from AD (n=40), mild cognitive impairment (MCI, n=36) and control (n=38) subjects; univariate and multivariate analyses to define between-group differences; and partial least square-discriminant analysis models to classify diagnostic groups using CSF metabolomic profiles. A partial correlation network was built to link metabolic markers, protein markers and disease severity. AD subjects had elevated methionine (MET), 5-hydroxyindoleacetic acid (5-HIAA), vanillylmandelic acid, xanthosine and glutathione versus controls. MCI subjects had elevated 5-HIAA, MET, hypoxanthine and other metabolites versus controls. Metabolite ratios revealed changes within tryptophan, MET and purine pathways. Initial pathway analyses identified steps in several pathways that appear altered in AD and MCI. A partial correlation network showed total tau most directly related to norepinephrine and purine pathways; amyloid-β (Ab42) was related directly to an unidentified metabolite and indirectly to 5-HIAA and MET. These findings indicate that MCI and AD are associated with an overlapping pattern of perturbations in tryptophan, tyrosine, MET and purine pathways, and suggest that profound biochemical alterations are linked to abnormal Ab42 and tau metabolism. Metabolomics provides powerful tools to map interlinked biochemical pathway perturbations and study AD as a disease of network failure.

Study on the Synthesis and Surface Activities of Novel Alkyl Sulfonate Gemini Surfactants

Three novel dialkyl disulfonate gemini surfactants (Cn-6-Cn, n = 6, 8, 12; n is carbon number of hydrophobic chain) were synthesized from cyanuric chloride, aliphatic amine and taurine. The chemical structures of the prepared compounds were confirmed by 1H NMR, 13C NMR, IR spectra and ESI-MS. Their critical micelle concentrations (CMC) in the aqueous solutions at 25°C were determined by surface-tension method. With the increasing length of the hydrophobic carbon chain, the values of their CMC decreased. The surface tension measurements of Cn-6-Cn give low CMC, great efficiency in lowering the surface tension, and strong adsorption at air–water interface. In addition, adsorption and micellization behavior of Cn-6-Cn were estimated by the parameter of pC20, the minimum average area per surfactant molecule (Amin).

Multi-channel search for squarks and gluinos in [Formula: see text]pp collisions with the ATLAS detector at the LHC

A search for supersymmetric particles in final states with zero, one, and two leptons, with and without jets identified as originating from b-quarks, in 4.7 fb-1 of [Formula: see text]pp collisions produced by the Large Hadron Collider and recorded by the ATLAS detector is presented. The search uses a set of variables carrying information on the event kinematics transverse and parallel to the beam line that are sensitive to several topologies expected in supersymmetry. Mutually exclusive final states are defined, allowing a combination of all channels to increase the search sensitivity. No deviation from the Standard Model expectation is observed. Upper limits at 95 % confidence level on visible cross-sections for the production of new particles are extracted. Results are interpreted in the context of the constrained minimal supersymmetric extension to the Standard Model and in supersymmetry-inspired models with diverse, high-multiplicity final states.

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Measurement of the [Formula: see text] production cross section in the tau + jets channel using the ATLAS detector

A measurement of the top quark pair production cross section in the final state with a hadronically decaying tau lepton and jets is presented. The analysis is based on proton-proton collision data recorded by the ATLAS experiment at the LHC, with a centre-of-mass energy of 7 TeV. The data sample corresponds to an integrated luminosity of 1.67 fb-1. The cross section is measured to be [Formula: see text] and is in agreement with other measurements and with the Standard Model prediction.

Jet energy resolution in proton-proton collisions at [Formula: see text] recorded in 2010 with the ATLAS detector

The measurement of the jet energy resolution is presented using data recorded with the ATLAS detector in proton-proton collisions at [Formula: see text]. The sample corresponds to an integrated luminosity of 35 pb-1. Jets are reconstructed from energy deposits measured by the calorimeters and calibrated using different jet calibration schemes. The jet energy resolution is measured with two different in situ methods which are found to be in agreement within uncertainties. The total uncertainties on these measurements range from 20 % to 10 % for jets within |y|<2.8 and with transverse momenta increasing from 30 GeV to 500 GeV. Overall, the Monte Carlo simulation of the jet energy resolution agrees with the data within 10 %.

A novel intronic mutation and a missense mutation of MEN1 identified in two Chinese families with multiple endocrine neoplasia type 1

BACKGROUND

Multiple endocrine neoplasia type 1 (MEN1) caused by MEN1 mutation is widely recognized. To date, 14 novel mutations were reported in Chinese and intronic mutations are getting more attention.

AIM

To explore clinical features and MEN1 mutations in two Chinese families suffering from MEN1.

METHODS

Nineteen individuals (10 males and 9 females) from two unrelated families with MEN1 were studied. Mutations of MEN1 were analyzed by direct sequencing of PCR products. In vitro splicing analysis was also performed with minigenes containing both wildtype and novel mutant fragments. Through the RNAstructure program, we analyzed the secondary structure of the wild type MEN1 pre-mRNA and then introduced T>G mutation at +2 donor splice site of intron 7.

RESULTS

Clinical features of 3 patients in two families were described, and 5 individuals were proven to be carriers of MEN1 mutation without apparent symptoms. A novel splicing site mutation of the intron 7 (IVS7+2 T→G) was identified in the first family. In vitro analysis also verified this mutation caused the aberrant splicing of MEN1 mRNA. With the RNAstructure program, we could figure out that the global secondary structure as well as the number of stems and loops of pre-mRNA greatly changed after this mutation. The mutation c. 1227 C>A (C409X) was identified in another family, which also caused the truncation of menin.

CONCLUSION

We reported a novel intronic mutation and a missense mutations in two Chinese families suffering from MEN1.