PMC

System model of time based RIS sharing.

a ∣ Researcher work products from multiple groups need to be combined to produce a discovery that improves human health. b ∣ In a system of open sharing, if funders allocate credit without considering sharing behaviour, much of the credit and funding can accrue to the researcher who brings the final component that enables translation. c ∣ Researchers can restrict sharing and negotiate agreements through cliques to enhance the equity of credit distribution, but negotiating agreements is time consuming and may delay or prevent advances. d ∣ Funders who consider the value of shared resources when assessing impact provide a benefit not only to the researcher bringing the final component but also all others on the value chain.

Experimental workflow for RNA-seq using the Ion Torrent (see details in the text). The equipment set includes OneTouch™ Instrument for templated bead preparation (Subheadings 3.5.1, 3.5.2, and 3.5.3), an Ion OneTouch™ ES robotic system for sample enrichment (Subheadings 3.5.4, 3.5.5, and 3.5.6), Personalized Genome Sequencer™ (Subheading 3.6), and an Ion Torrent server containing Torrent Software Suite for base calling and mapping and web portal access for data review and sharing for sequencing and primary data analysis within hours. Combined, this innovative approach allows us to perform multiple, even single-cell RNA-seq experiments at the lowest possible cost today within 3–4 day’s turnaround time: from cell sampling to sequencing and initial annotation

Cerebral F₂-isoprostane levels during the early postnatal period after in utero exposure to MeHg. Pregnant mice were exposed during the gestational period to different doses of MeHg diluted in their drinking water. After parturition, three pups per litter were randomly selected and killed at different time points - postnatal days (PNDs) 1, 11 and 21. Data are represented as mean ± SEM. n = 5 litters per treatment (1 pup per litter for each time point). Symbols not sharing the same number at the same treatment (ontogenetic effect) are statistically different (P < 0.05) as measured by one-way ANOVA followed by the Duncan’s multiple range test. Symbols not sharing the same letter at the same ontogenetic period (treatment effect) are statistically different (P < 0.05) as measured by one-way ANOVA followed by the Duncan’s multiple range test.