<b>Characterizing the role of PP2AB'' family subunits in mechanical stress response and plant development through calcium and ABA signaling in </b><b><i>Arabidopsis thaliana</i></b... by Hyuk Sung Yoon (19985262)

Study flow chart with outcome measures. by Friso Schonck (21262096)

Isoform-specific Tutl overexpression differentially regulates dendrite branching in class II and III da neurons. by Mikolaj J. Sulkowski (177479)

Image_3_Microbial Warfare on Three Fronts: Mixed Biofilm of Aspergillus fumigatus and Staphylococcus aureus on Primary Cultures of Human Limbo-Corneal Fibroblasts.tiff by Adrián Ramírez-Granillo (11276427)

Wnt Signaling Regulates the Lineage Differentiation Potential of Mouse Embryonic Stem Cells through Tcf3 Down-Regulation by Yaser Atlasi (409447)

Data_Sheet_1_The benefits of flushing for mitigating Legionella spp. in non-chlorinated building plumbing systems.pdf by Charuka S. Meegoda (14819461)

“…Even after all outlets returned to active water demand, flushed shower outlets continued to have lower quantities of Legionella compared to non-flushed outlets for several days, but the decrease was of little practical benefit (<0.5 log₁₀[copies/L]). …”

Stimulus-locked ERPs and scalp topographies for both experimental conditions. by Marijn van Vliet (587742)

“…<p>Vertical lines are plotted to show the mean RT of the trials belonging to each bin (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0087650#pone-0087650-t001" target="_blank">Table 1</a>), using the same color code as the ERPs. …”

Intrinsic androgen-dependent gene expression patterns revealed by comparison of genital fibroblasts from normal males and individuals with complete and partial androgen insensitivi... by Paul-Martin Holterhus (55368)

Intrinsic androgen-dependent gene expression patterns revealed by comparison of genital fibroblasts from normal males and individuals with complete and partial androgen insensitivi... by Paul-Martin Holterhus (55368)

Model features compared to previous model. by Oscar Silfvergren (13775707)

“…(B) Experimental data (error bars) validating another key difference between the new (blue line) and old model simulations (orange line): the decrease of plasma glucose during fasting. (C) New model (blue line) can describe all of the mechanistic flux data (error bars) that led to the ‘Dalla Man model’ [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010469#pcbi.1010469.ref021" target="_blank">21</a>], equally as well as that model and its subsequent improvements (orange line). …”

Table_1_Association between organophosphate flame retardant exposure and lipid metabolism: data from the 2013–2014 National Health and Nutrition Examination Survey.docx by Fu-Jen Cheng (9992941)

“…With increasing quartiles of urine BDCPP levels, the mean TC levels significantly decreased in all participants (p value for trend = 0.028), and quartile increases in the levels of DPhP (p value for trend = 0.01), BDCPP (p value for trend = 0.001), and BCEP (p value for trend<0.001) were negatively corelated with HDL-C, with approximately 5.9, 9.9, and 12.5% differences between the upper and lower quartiles. …”

DataSheet_1_The Cross-Species Immunity During Acute Babesia Co-Infection in Mice.docx by Iqra Zafar (10287965)

“…Herein, the major cytokines implicated in the lethality caused by B. rodhaini infection were IFN- γ and IL-10. Surprisingly, significant differences in the levels of serum IFN- γ and IL-10 between co-infected survival groups (day 4 and 6 challenge) indicated that even a two-day delay in challenge infection was crucial for the resulting pathology. …”

Table 1_Trajectories in waist circumference and waist-to-height ratio with left ventricular hypertrophy in childhood.doc by Xuli Jin (15340593)

“…After adjustment for potential covariates, children in the high-increasing WC group and the increasing WHtR trajectory group had increased LVMI (β = 5.16 g/m^2.7, 95% confidence interval (CI): 4.37, 5.95 and β = 4.91 g/m^2.7, 95% CI: 4.15, 5.68) and a higher risk of LVH [risk ratio (RR) = 5.84, 95% CI: 3.39, 10.05 and RR = 7.38, 95% CI: 4.14, 13.14] compared to the low-increasing WC group and stabilizing WHtR group, respectively. …”

Image 1_Trajectories in waist circumference and waist-to-height ratio with left ventricular hypertrophy in childhood.tif by Xuli Jin (15340593)

“…After adjustment for potential covariates, children in the high-increasing WC group and the increasing WHtR trajectory group had increased LVMI (β = 5.16 g/m^2.7, 95% confidence interval (CI): 4.37, 5.95 and β = 4.91 g/m^2.7, 95% CI: 4.15, 5.68) and a higher risk of LVH [risk ratio (RR) = 5.84, 95% CI: 3.39, 10.05 and RR = 7.38, 95% CI: 4.14, 13.14] compared to the low-increasing WC group and stabilizing WHtR group, respectively. …”

Image5_Benchmarking of ATAC Sequencing Data From BGI’s Low-Cost DNBSEQ-G400 Instrument for Identification of Open and Occupied Chromatin Regions.JPEG by Marina Naval-Sanchez (6497258)

“…</p><p>Findings: Here, we benchmark data from Beijing Genomics Institute’s (BGI) DNBSEQ-G400 low-cost sequencer against data from a standard Illumina instrument (HiSeqX10). For comparisons, the same bulk ATAC-seq libraries generated from pluripotent stem cells (PSCs) and fibroblasts were sequenced on both platforms. …”

Image1_Immune cell population and cytokine profiling suggest age dependent differences in the response to SARS-CoV-2 infection.pdf by Larraitz Aragon (14604653)

“…In this age range, an increased exhausted T cell response and a decrease of naïve T helper lymphocytes was found in patients, as well as a reduced concentration of the proinflammatory TNF, IL-1β and IL-8 cytokines. …”

MRI of osteoblastic osteosarcoma and applying ADC values derived from single-section ROI can complement diagnostic ability. by Seul Ki Lee (1626874)

“…(E) DWI with ADC map after treatment shows 2D ADC_minimum and 2D ADC_mean of 1047μm²/sec and 1395μm²/sec, respectively, indicating a poor responder. (F) ADC histogram derived from whole-tumor volume after treatment shows 3D ADC_mean of 1500μm²/sec, 3D ADC_skewness of 0.10, and 3D ADC_kurtosis of 3.15. …”

Image4_Benchmarking of ATAC Sequencing Data From BGI’s Low-Cost DNBSEQ-G400 Instrument for Identification of Open and Occupied Chromatin Regions.JPEG by Marina Naval-Sanchez (6497258)

“…</p><p>Findings: Here, we benchmark data from Beijing Genomics Institute’s (BGI) DNBSEQ-G400 low-cost sequencer against data from a standard Illumina instrument (HiSeqX10). For comparisons, the same bulk ATAC-seq libraries generated from pluripotent stem cells (PSCs) and fibroblasts were sequenced on both platforms. …”

Table3_Benchmarking of ATAC Sequencing Data From BGI’s Low-Cost DNBSEQ-G400 Instrument for Identification of Open and Occupied Chromatin Regions.XLSX by Marina Naval-Sanchez (6497258)

“…</p><p>Findings: Here, we benchmark data from Beijing Genomics Institute’s (BGI) DNBSEQ-G400 low-cost sequencer against data from a standard Illumina instrument (HiSeqX10). For comparisons, the same bulk ATAC-seq libraries generated from pluripotent stem cells (PSCs) and fibroblasts were sequenced on both platforms. …”

Image2_Benchmarking of ATAC Sequencing Data From BGI’s Low-Cost DNBSEQ-G400 Instrument for Identification of Open and Occupied Chromatin Regions.JPEG by Marina Naval-Sanchez (6497258)

“…</p><p>Findings: Here, we benchmark data from Beijing Genomics Institute’s (BGI) DNBSEQ-G400 low-cost sequencer against data from a standard Illumina instrument (HiSeqX10). For comparisons, the same bulk ATAC-seq libraries generated from pluripotent stem cells (PSCs) and fibroblasts were sequenced on both platforms. …”