Treatment with p38 MAPK inhibitor (SB203580) inhibits EV71 replication at the viral protein synthesis stage. by Shi Yun Leong (699834)

“…<p>(A) Mock-infected RD cells were treated with SB203580 at different concentrations (10, 25, 50 and 100μM) or 1.0% DMSO (negative control) and cell lysates were harvested for Western blotting at 6h post-treatment. β-actin was included as a loading control. …”

Roles of lncRNAs during plant–pathogen/insect interactions. by Juan Huang (41654)

Data: The effects of Arabian jasmine on zebrafish behavior depends on strain, sex, and personality by Tripatchara Atiratana (20628617)

WIDS 2020 Poster(Wafaa Alabsi).pdf by Wafaa Alabsi (8704977)

Ultrasensitive SLIM Serpentine Ultra-long Path with Extended Routing (SUPER) high resolution ion mobility-MS using large ion populations and peak compression (ASMS 2017) by PNNL Omics (4106851)

Cutaneous HPV5 E7 protein reduces pocket proteins levels. by Águeda Buitrago-Pérez (149456)

Cif disrupts CFTR-USP10 interaction by stabilizing the USP10-G3BP1 interaction. by Jennifer M. Bomberger (226715)

“…<p>A. Cif-containing OMV decrease the interaction of CFTR with USP10 in the early endosomes of airway epithelial cells, as assessed by immunoprecipitation of USP10 from EE and western blot analysis for CFTR in cells treated with ΔCif-OMV or Cif-containing OMV (90 min treatment). …”

Longitudinal study of body mass index, dyslipidemia, hyperglycemia, and hypertension in 60,000 men and women in Sweden and Austria by Mieke Van Hemelrijck (286842)

“…For instance, per 5 kg/m² higher BMI at age 40, glucose at age 50 increased by 0.24 mmol/l (95%CI: 0.22–0.26) and mid-blood pressure increased by 1.54 mm Hg (95%CI: 1.35–1.74). …”

Cdk5 Gain- or Loss-of-Function Does Not Affect the Proliferation and Differentiation Capacity of Adult NPCs by Sebastian Jessberger (269496)

“…Percentages of BrdU-labeled cells (E) were 54.5 ± 5.3% (Con), 65.7 ± 4.9% (cdk5), 63.2 ± 4.7% (cdk5/p35), and 51.0 ± 2.2% (DNcdk5, <i>p</i> > 0.2). Left and middle panels in (A–D) show single channels for GFP (green), BrdU (red in [A, B, and D]; blue in [C]), and p35/CAG-RFP coelectroporation (red in [C]). …”

Table_1_Modeling decline of mountain range forest using survival analysis.docx by Thakur Dhakal (6748469)

“…In the study region, as deforestation occurred, agricultural and residential areas decreased, and barren and grassland increased. We applied the Weibull regression model to determine forest survivorship and covariates. …”

Table_5_Characterization of Microbiota in Cancerous Lung and the Contralateral Non-Cancerous Lung Within Lung Cancer Patients.XLSX by Minglei Zhuo (283748)

“…</p>Methods<p>To evaluate the association of the microbiota with lung cancer, we performed comparative analysis of the lung microbiota using 16S rRNA amplicon sequencing approach in the paired bronchoalveolar lavage fluid (BALF) samples (paired samples from cancerous lung and the contralateral non-cancerous lung) from 50 cancer patients with unilateral lobar masses.…”

Table_2_Characterization of Microbiota in Cancerous Lung and the Contralateral Non-Cancerous Lung Within Lung Cancer Patients.XLSX by Minglei Zhuo (283748)

“…</p>Methods<p>To evaluate the association of the microbiota with lung cancer, we performed comparative analysis of the lung microbiota using 16S rRNA amplicon sequencing approach in the paired bronchoalveolar lavage fluid (BALF) samples (paired samples from cancerous lung and the contralateral non-cancerous lung) from 50 cancer patients with unilateral lobar masses.…”

Table_1_Modeling decline of mountain range forest using survival analysis.docx by Thakur Dhakal (6748469)

“…In the study region, as deforestation occurred, agricultural and residential areas decreased, and barren and grassland increased. We applied the Weibull regression model to determine forest survivorship and covariates. …”

Table_6_Characterization of Microbiota in Cancerous Lung and the Contralateral Non-Cancerous Lung Within Lung Cancer Patients.XLSX by Minglei Zhuo (283748)

“…</p>Methods<p>To evaluate the association of the microbiota with lung cancer, we performed comparative analysis of the lung microbiota using 16S rRNA amplicon sequencing approach in the paired bronchoalveolar lavage fluid (BALF) samples (paired samples from cancerous lung and the contralateral non-cancerous lung) from 50 cancer patients with unilateral lobar masses.…”

Table_3_Characterization of Microbiota in Cancerous Lung and the Contralateral Non-Cancerous Lung Within Lung Cancer Patients.XLSX by Minglei Zhuo (283748)

“…</p>Methods<p>To evaluate the association of the microbiota with lung cancer, we performed comparative analysis of the lung microbiota using 16S rRNA amplicon sequencing approach in the paired bronchoalveolar lavage fluid (BALF) samples (paired samples from cancerous lung and the contralateral non-cancerous lung) from 50 cancer patients with unilateral lobar masses.…”

Table_1_Characterization of Microbiota in Cancerous Lung and the Contralateral Non-Cancerous Lung Within Lung Cancer Patients.XLSX by Minglei Zhuo (283748)

“…</p>Methods<p>To evaluate the association of the microbiota with lung cancer, we performed comparative analysis of the lung microbiota using 16S rRNA amplicon sequencing approach in the paired bronchoalveolar lavage fluid (BALF) samples (paired samples from cancerous lung and the contralateral non-cancerous lung) from 50 cancer patients with unilateral lobar masses.…”

Table_4_Characterization of Microbiota in Cancerous Lung and the Contralateral Non-Cancerous Lung Within Lung Cancer Patients.XLSX by Minglei Zhuo (283748)

“…</p>Methods<p>To evaluate the association of the microbiota with lung cancer, we performed comparative analysis of the lung microbiota using 16S rRNA amplicon sequencing approach in the paired bronchoalveolar lavage fluid (BALF) samples (paired samples from cancerous lung and the contralateral non-cancerous lung) from 50 cancer patients with unilateral lobar masses.…”

Table 1_Body mass index influences Antimüllerian Hormone and inhibin B in adult males.xls by Wen Zhou (49050)

“…A negative correlation between BMI and AMH (β: -0.15, 95%CI: -0.23 to -0.06, P<0.01) and INHB levels (β: -2.14, 95%CI: -2.98 to -1.31, P<0.0001) was observed, with these correlations remaining statistically significant (AMH: β: -0.12, 95%CI: -0.23 to -0.01, P<0.05; INHB: β: -1.50, 95%CI: -2.66 to -0.34, P<0.05) after adjusting for relevant confounders. …”

Serial changes in pulmonary function during follow-up after RAIT in patients with pulmonary metastases of differentiated thyroid cancer. by Eun Kyung Jang (732099)

“…We entered the values of baseline PFT at the time of the first RAIT (time ‘0’) into this figure. (A) Changes in FVC and FEV1 in patients with normal pulmonary function at baseline (n = 21). …”

Unusual behaviour of phototrophic picoplankton in turbid waters by Boglárka Somogyi (821047)

“…The studied lakes displayed wide turbidity (TSS: 4–2250 mg l^-1) and phytoplankton biomass (chlorophyll <i>a</i>: 1–460 μg l^-1) range, as well as APP abundance (0 and 100 million cells ml^-1) and contribution (0–100%) to total phytoplankton biomass. …”