Targeting pan-caspase activation suppresses HIV-1 infection. by Jason Segura (14608801)

“…Primary CD8-depleted PBMC were infected with HIV-1_BAL for 6 days in the presence of 50uM indicated caspase inhibitors and analyzed for the accumulation of p24+/CD62L- populations (<b>A</b>) as well as the level of infection using intracellular p24 staining (<b>B</b>). …”

DataSheet_1_Prognostic Value of Leucocyte to High-Density Lipoprotein-Cholesterol Ratios in COVID-19 Patients and the Diabetes Subgroup.docx by Yuxiu Wang (8088287)

“…</p>Methods<p>We conducted a multicenter retrospective cohort study involving all hospitalized patients with COVID-19 from January to March 2020 in five hospitals in Wuhan, China. …”

Image_1_T-Lymphocyte Subsets Alteration, Infection and Renal Outcome in Advanced Chronic Kidney Disease.TIF by Jiachuan Xiong (748476)

“…The primary outcomes were the major infection and renal outcome.</p><p>Results: A total of 410 CKD patients were enrolled; the average age was 47.25 years. …”

DataSheet_2_WASp Deficiency Selectively Affects the TCR Diversity of Different Memory T Cell Subsets in WAS Chimeric Mice.docx by Wenyan Li (255305)

“…Bioinformatic analyses showed that compared with wild type (WT), WAS knock out (KO)-CD4⁺ TEM cells exhibited increased Simpson index and decreased D50 index (P <0.05); The rank abundance curve of KO-CD4⁺ TEM cells was shorter and steeper than that of WT, and the angle of ^qD and q in KO-CD4⁺ TEM cells was lower than that of WT, while these indexes showed few changes between WT and KO chimeric mice in the CD8⁺TCM population. …”

datasheet1_Spatio-Temporal Variability of Peat CH4 and N2O Fluxes and Their Contribution to Peat GHG Budgets in Indonesian Forests and Oil Palm Plantations.docx by Erin Swails (10323518)

“…The objective of our research was to assess changes in peat GHG flux and budget associated with peat swamp forest disturbance and conversion to oil palm plantation and to evaluate drivers of variation in trace gas fluxes. Over a period of one and a half year, we monitored monthly CH₄ and N₂O fluxes together with environmental variables in three undrained peat swamp forests and three oil palm plantations on peat in Central Kalimantan. …”

Data_Sheet_1_T-Lymphocyte Subsets Alteration, Infection and Renal Outcome in Advanced Chronic Kidney Disease.docx by Jiachuan Xiong (748476)

“…The primary outcomes were the major infection and renal outcome.</p><p>Results: A total of 410 CKD patients were enrolled; the average age was 47.25 years. …”

Image_2_T-Lymphocyte Subsets Alteration, Infection and Renal Outcome in Advanced Chronic Kidney Disease.TIFF by Jiachuan Xiong (748476)

“…The primary outcomes were the major infection and renal outcome.</p><p>Results: A total of 410 CKD patients were enrolled; the average age was 47.25 years. …”

DataSheet_1_WASp Deficiency Selectively Affects the TCR Diversity of Different Memory T Cell Subsets in WAS Chimeric Mice.zip by Wenyan Li (255305)

“…Bioinformatic analyses showed that compared with wild type (WT), WAS knock out (KO)-CD4⁺ TEM cells exhibited increased Simpson index and decreased D50 index (P <0.05); The rank abundance curve of KO-CD4⁺ TEM cells was shorter and steeper than that of WT, and the angle of ^qD and q in KO-CD4⁺ TEM cells was lower than that of WT, while these indexes showed few changes between WT and KO chimeric mice in the CD8⁺TCM population. …”

UPPAAL SMC model specification by Marc Souvannasouck (16475829)

“…Upon the completion of this month, the model transitions to a branchpoint and adds a monthly cost of 50 to the total cost, denoting a constant monthly expense for treatment management. …”

Robotic-Assisted Median Arcuate Ligament Release With Celiac Artery Lysis and Celiac Ganglion Neurolysis by G. Kimble Jett (6509428)

“…<a href="https://doi.org/10.1016/j.jvs.2008.12.078"><em>J Vasc Surg</em>. 2009;50:124-133.…”

Supplemental Material for Juurakko et al., 2021 by Collin L. Juurakko (10941459)

“…</p><p></p><p></p><p> </p><p>A list of protein accession identifications for all significantly increased and decreased proteins obtained by MS were assembled and used as inputs for STRING (version 11.0) to predict protein-protein interactions (Franceschini <i>et al.…”

Table_8_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.XLSX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

Table_1_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.DOCX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

Table_6_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.DOCX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

Table_10_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.DOCX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

Table_2_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.XLSX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

P4HA3 deficiency increased sensitization to immune checkpoint inhibitors and P4HA3 could predict the clinical therapeutic effect of PD-1 inhibitor (Camrelizumab). by Hong Yan Huang (20135965)

“…(B) P4HA3 deficiency inhibited proliferation ability of MDA-MB-231, HCT116 and A549 cell lines by EdU assay. Scale bar: 50 μm. …”

Table_7_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.DOCX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

Table_13_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.DOCX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”

Table_12_Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection.DOCX by Huiling Zheng (49699)

“…The effectiveness of hybrid immunity (incomplete vaccination) in mitigating the risk of reinfection was 37.88% (95% CI, 28.88–46.89%) within 270–364 days, and decreased to 33.23%% (95% CI, 23.80–42.66%) within 365–639 days; whereas, the effectiveness after complete vaccination was 54.36% (95% CI, 50.82–57.90%) within 270–364 days, and the effectiveness of booster vaccination was 73.49% (95% CI, 68.95–78.04%) within 90–119 days.…”