Archives

  • 2018-07
  • 2018-10
  • 2018-11
  • 2019-04
  • 2019-05
  • 2019-06
  • 2019-07
  • 2019-08
  • 2019-09
  • 2019-10
  • 2019-11
  • 2019-12
  • 2020-01
  • 2020-02
  • 2020-03
  • 2020-04
  • 2020-05
  • 2020-06
  • 2020-07
  • 2020-08
  • 2020-09
  • 2020-10
  • 2020-11
  • 2020-12
  • 2021-01
  • 2021-02
  • 2021-03
  • 2021-04
  • 2021-05
  • 2021-06
  • 2021-07
  • 2021-08
  • 2021-09
  • 2021-10
  • 2021-11
  • 2021-12
  • 2022-01
  • 2022-02
  • 2022-03
  • 2022-04
  • 2022-05
  • 2022-06
  • 2022-07
  • 2022-08
  • 2022-09
  • 2022-10
  • 2022-11
  • 2022-12
  • 2023-01
  • 2023-02
  • 2023-03
  • 2023-04
  • 2023-05
  • 2023-06
  • 2023-08
  • 2023-09
  • 2023-10
  • 2023-11
  • 2023-12
  • 2024-01
  • 2024-02
  • 2024-03
  • 2024-04
  • br Acknowledgements br Data The concentration levels of

    2018-10-23


    Acknowledgements
    Data The concentration levels of urinary metal summarized in Tables 1 and 2. Table 1 shows the concentration of metal measured in two areas. Detection limits (LOD) of each metal is also shown in Table 1. Table 2 presents data in sex groups in polluted area. All metal levels NVPBEZ235 are presented as ppb unit.
    Experimental design, materials and methods
    Acknowledgements The authors would like to thank the Bushehr University of Medical Science for financing this NVPBEZ235 work (Grant no.: Bus-H-25). ​ Transparency document.Supplementary materialTransparency data associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.dib.2017.04.027.
    Data Due to easy availability, the use of chemical poisons has remained one of the most common ways of ending human lives by any mode of death. Large numbers of people die every year due to poisoning, especially acute pesticide poisoning [1]. A very high number of fatalities also occur in India due to poisoning [2–6]. A concise piece of information on poisoning is available from HP [7–11]. Therefore, the data provided in this article explored some significant inferences on mortalities associated with poisoning from southern HP. This data is limited only to those cases which were registered by the law enforcement agencies from Shimla, Solan, Sirmaur and Kinnaur districts situated in the southern region of HP (Fig. 1). All related particulars were obtained from First Information Report (FIR), Post-mortem Report (PMR), and Toxicology reports.
    Experimental design, materials and methods Database revealed 1291 positive reports out of 2721 total cases submitted during study period. Data presented herein is a realistic information depicting year wise reporting of positive cases from all selected districts (Table 1), gender (male & female) and locality (urban & rural) wise difference (Table 2), age groups affected along with gender difference (Table 3), types of poisons involved in different districts (Table 4), district wise poisons involved in different age groups (Table 5), and gender wise modes of death (Table 6). Data revealed that ethyl alcohol was utterly detected in 669 (~52%) cases from all districts during 2010–14. It is important to note that ethyl alcohol was vastly detected in the bodies met with road accidents but it was irresolute to establish death due to alcohol impairment in actual. Use of pesticide including Dichlorovos and Paraquat was reported in majority (~30%) of cases. Out of 18 cases of paraquat poisoning, the maximum (10) cases were reported in year 2013 from all districts. Use of aluminum phosphide or zinc phosphide was reported in 12 cases, whereas in rest of the cases only phosphine was mentioned as poisonous substance.
    Acknowledgements
    Specifications table
    Value of the data
    Data Firstly, data on CM16-induced cytostatic effects is presented. As shown in [1] CM16 displays cytostatic effects at its IC50 in glioma Hs683, melanoma SKMEL-28 and breast adenocarcinoma MDA-MB-231 cells. Thus, CM16 effect on the cell cycle of both glioma Hs683 (Fig. 1A) cells and SKMEL-28 (Fig. 1B) are presented. After data showing CM16 inhibiting translation [1], further investigation on the effects of CM16 on newly synthesized mRNA (transcription) were carried out and generated the data here shown (Fig. 2A-B). CM16 effects on PERK activity, is shown in Fig. 3. The data on Table 1 refers to the genes related to translation that were analyzed for their transcriptomic expression in the cell lines most and least sensitive to CM16 effects, according to the NCI 60-cell-line growth inhibitory evaluation [1].
    Experimental design, materials and methods
    Acknowledgements The Ph.D of A.C. is financially supported by the Coordenação de Aperfeiçoamento de Pessoal de Nivel Superior (Grant 0674-13/3;CAPES; Brazil). C.M. acknowledges the grant from the Télévie (Grant 7.4529.13; ​FRS-FNRS; Belgium). R.K. is a director of research with the Fonds National de la Recherche Scientifique (FRS-FNRS; Belgium) that supported the present project (#3.4525.11: Anti-cancéreux dérivés de l’harmine from 2010 to 2014). Part of this study is also supported by the grant by the Belgian Brain Tumor Support (BBTS; Belgium). We thank Mohsin Mssassi for his help during his stay in the Laboratoire of Cancérologie et Toxicologie Expérimentale (ULB, Belgium). JP acknowledges grants from the Canadian Institutes of Health Research (MOP-106530 and MOP-115126). A.K. acknowledges the National Cancer Institute (CA186046-01A1) and Welch Foundation (AI-0045).