Sertoli cell-specific ablation in adulthood. by Diane Rebourcet (153547)

“…<p>(A) Amh-Cre;iDTR model. (B) DTR expression is restricted to Sertoli cells (scale bar: 50 µm). …”

Image_2_Understanding Thermostability Factors of Barley Limit Dextrinase by Molecular Dynamics Simulations.tif by Juan Du (118107)

Data Sheet 1_Study on the function of TTG1 gene in Camellia oleifera.docx by Chengcheng Xiang (5512442)

“…In this study, we isolated the CoTTG1 gene from C. oleifera, which encodes a nuclear-localized protein (molecular weight 38.38 kDa, pI 5.0) sharing 99.71% sequence identity with Camellia japonica TTG1. …”

Down syndrome: Prevalence and distribution of congenital heart disease in Brazil by Beatriz Elizabeth Bagatin Veleda Bermudez (12799493)

“…DESIGN AND SETTING : Cross-sectional study conducted in a referral center. METHODS : Data were retrospectively gathered from the medical files of 1,207 patients with Down syndrome, among whom 604 (50.0%) had been diagnosed with congenital heart disease. …”

<i>Fusobacterium nucleatum</i>-Induced Impairment of Autophagic Flux Enhances the Expression of Proinflammatory Cytokines via ROS in Caco-2 Cells by Bin Tang (56654)

TbCDC34 activity is modulated by compound CC0651. by Federico Rojas (480253)

Cell viability was determined through MTT assay on human embryonic kidney HEK293 (control normal cells) and human glioblastoma cells U87. by Sadaf Azad Raja (6301382)

Table 1_Study on the function of TTG1 gene in Camellia oleifera.xlsx by Chengcheng Xiang (5512442)

“…In this study, we isolated the CoTTG1 gene from C. oleifera, which encodes a nuclear-localized protein (molecular weight 38.38 kDa, pI 5.0) sharing 99.71% sequence identity with Camellia japonica TTG1. …”

Flowchart of the participants’ selection. by Lei Huang (35191)

Image_1_Macular Retinal Microvasculature of Hyperopia, Emmetropia, and Myopia in Children.TIF by Liang Lv (710387)

Fig 2 - by Stuart Meier (29078)

Priming-induced changes in germination, morpho-physiological and leaf biochemical responses of fenugreek (<i>Trigonella foenum-graecum</i>) under salt stress by Hela Mahmoudi (7381154)

Table_3_Crosstalk of DNA Methylation Triggered by Pathogen in Poplars With Different Resistances.XLSX by Dandan Xiao (11880449)

Cleavage kinetics. by Daria Kotlarek (2833523)

“…<p>Example data set showing the decrease of substrate concentration in time in for a range of PA-Nter concentrations (numbers in [nM]) in the presence of A) Mg²⁺, B) Mn²⁺. …”

Temporal changes in prey composition and biomass delivery to African Crowned Eagle nestlings in urban areas of KwaZulu-Natal, South Africa by Tim van der Meer (5726774)

Table_1_Crosstalk of DNA Methylation Triggered by Pathogen in Poplars With Different Resistances.DOCX by Dandan Xiao (11880449)

E-GhostV2 network diagram. by Cuiying Yu (18437285)

Comparison between α1β2γ2 and α3β2γ2 GABA-channel currents elicited by brief GABA applications by Andrea Barberis (74413)

“…Journal Compilation © Federation of European Neuroscience Societies and Blackwell Publishing Ltd</p> (A) Multiple records of 1 s illustrating channel activity evoked by 2 ms applications of GABA to outside-out patches in two patches excised from human embryonic kidney (HEK) cells expressing single α1β2γ2 (left, 10 m GABA) and α3β2γ2 (right, 50 m GABA) channels (holding potential, −100 mV). …”

<i>Ras</i> cells show elevated checkpoint activity in response to treatment with cytarabine, daunorubicine or etoposide. by Mona Meyer (257592)

“…<p>(A) Phosphorylation of Chk1 in response to cytarabine treatment is dose-dependent and elevated in <i>Ras</i> cells. …”

Robustness of WS model prediction <i>S</i>∝<i>n.</i> by Mark D. Humphries (87663)

“…We do this for 3 selection cases, based on <i>S</i>^Δ here, in step (ii): (a) removing the network with the largest deviation from <i>m</i>∝<i>n</i> linear model increased the goodness-of-fit (○) for the <i>S</i>∝<i>n</i> linear model (the dotted line indicates the original goodness-of-fit value at <i>r</i>² = 0.78); (b) removing networks with the smallest deviation from <i>m</i>∝<i>n</i> linear model decreased the goodness-of-fit (▿) for the <i>S</i>∝<i>n</i> linear model; (c) random deletion did not consistently change the goodness-of-fit (•). …”