Image2_CircGSAP regulates the cell cycle of pulmonary microvascular endothelial cells via the miR-942-5p sponge in pulmonary hypertension.tif by Yuanyuan Sun (505629)

“…Dual luciferase reporter assays showed that circGSAP acted as a competitive endogenous RNA regulating miR-942-5p, and identified SMAD4 as a target gene of miR-942-5p, Then, we verified the functions of miR-942-5p and SMAD4 in PMECs. …”

Table_5_Single-cell transcriptomic analysis of hematopoietic progenitor cells from patients with systemic lupus erythematosus reveals interferon-inducible reprogramming in early pr... by Anastasia Filia (12518575)

“…Introduction<p>Immune cells that contribute to the pathogenesis of systemic lupus erythematosus (SLE) derive from adult hematopoietic stem and progenitor cells (HSPCs) within the bone marrow (BM). For this reason, we reasoned that fundamental abnormalities in SLE can be traced to a BM-derived HSPC inflammatory signature.…”

Table1_CircGSAP regulates the cell cycle of pulmonary microvascular endothelial cells via the miR-942-5p sponge in pulmonary hypertension.DOCX by Yuanyuan Sun (505629)

“…Dual luciferase reporter assays showed that circGSAP acted as a competitive endogenous RNA regulating miR-942-5p, and identified SMAD4 as a target gene of miR-942-5p, Then, we verified the functions of miR-942-5p and SMAD4 in PMECs. …”

Image1_CircGSAP regulates the cell cycle of pulmonary microvascular endothelial cells via the miR-942-5p sponge in pulmonary hypertension.tif by Yuanyuan Sun (505629)

“…Dual luciferase reporter assays showed that circGSAP acted as a competitive endogenous RNA regulating miR-942-5p, and identified SMAD4 as a target gene of miR-942-5p, Then, we verified the functions of miR-942-5p and SMAD4 in PMECs. …”

Image2_CircGSAP regulates the cell cycle of pulmonary microvascular endothelial cells via the miR-942-5p sponge in pulmonary hypertension.tif by Yuanyuan Sun (505629)

“…Dual luciferase reporter assays showed that circGSAP acted as a competitive endogenous RNA regulating miR-942-5p, and identified SMAD4 as a target gene of miR-942-5p, Then, we verified the functions of miR-942-5p and SMAD4 in PMECs. …”

Table1_CircGSAP regulates the cell cycle of pulmonary microvascular endothelial cells via the miR-942-5p sponge in pulmonary hypertension.DOCX by Yuanyuan Sun (505629)

“…Dual luciferase reporter assays showed that circGSAP acted as a competitive endogenous RNA regulating miR-942-5p, and identified SMAD4 as a target gene of miR-942-5p, Then, we verified the functions of miR-942-5p and SMAD4 in PMECs. …”

Image3_CircGSAP regulates the cell cycle of pulmonary microvascular endothelial cells via the miR-942-5p sponge in pulmonary hypertension.tif by Yuanyuan Sun (505629)

“…Dual luciferase reporter assays showed that circGSAP acted as a competitive endogenous RNA regulating miR-942-5p, and identified SMAD4 as a target gene of miR-942-5p, Then, we verified the functions of miR-942-5p and SMAD4 in PMECs. …”

Image1_CircGSAP regulates the cell cycle of pulmonary microvascular endothelial cells via the miR-942-5p sponge in pulmonary hypertension.tif by Yuanyuan Sun (505629)

“…Dual luciferase reporter assays showed that circGSAP acted as a competitive endogenous RNA regulating miR-942-5p, and identified SMAD4 as a target gene of miR-942-5p, Then, we verified the functions of miR-942-5p and SMAD4 in PMECs. …”

Image3_CircGSAP regulates the cell cycle of pulmonary microvascular endothelial cells via the miR-942-5p sponge in pulmonary hypertension.tif by Yuanyuan Sun (505629)

“…Dual luciferase reporter assays showed that circGSAP acted as a competitive endogenous RNA regulating miR-942-5p, and identified SMAD4 as a target gene of miR-942-5p, Then, we verified the functions of miR-942-5p and SMAD4 in PMECs. …”

The structural coefficient <i>σ</i> depends on the migration probability <i>v</i>, the mutation probability <i>u</i>, and the migration range <i>r</i>. by Yanling Zhang (6561)

“…<p>Panel (A) shows that for each <i>r</i>, <i>σ</i> first increases and then decreases when <i>v</i> grows, and among all migration ranges the one leading to the largest value of <i>σ</i> is <i>r</i> = 4 for low <i>v</i>, <i>r</i> = 2,3 for medium <i>v</i> (see the inset), and <i>r</i> = 1 for high <i>v</i>. …”

DataSheet_5_Comprehensive Multi-Omics Identification of Interferon-γ Response Characteristics Reveals That RBCK1 Regulates the Immunosuppressive Microenvironment of Renal Cell Carc... by Wenhao Xu (2302681)

Fig 5 - by Emma Peel (5518703)

“…<i>pecorum</i> MarsBar and IPTaLE elementary bodies with 125μg/mL of PhciCath5 caused a significant decrease in infectious progeny in both serovars. …”

Average days to heal a wound in 2022 and 2023. by Heba Tallah Mohammed (2822432)

“…</p><p>Results</p><p>Average healing time for all wounds decreased significantly from 62.5 days in 2022 to 38.6 days in 2023, a 38.2% improvement (p < 0.001). …”

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

DataSheet1_Colorectal Cancer that Highly Express Both ACE2 and TMPRSS2, Suggesting Severe Symptoms to SARS-CoV-2 Infection.PDF by Huai Wang (2545135)

“…<p>The epidemic of the novel, pathogenic SARS-coronavirus 2 (SARS-CoV-2) in the world pose a global health emergency. …”

Preoperative Arterial and Venous Cannulation in Redo Cardiac Surgery: From the Safety and Cost-effectiveness Points of View by Yahya Yildiz (7425197)

“…Total blood and blood product usage were higher in Group A than in Group B. Postoperative intensive care unit stay was 62.77±145.3 hours vs. 25.13±73.11 hours, ventilation time was 5.16±5.09 hours vs. 3.03±2.78 hours, duration of ward stay was 5.23±2.52 days vs. 5.57±2.16 days, and duration of hospital stay was 9.58±5.85 days vs. 9.8±5.31 days in conventional sternotomy and pre-sternotomy cannulation groups, respectively. …”

Fig 5 - by Caroline B. Winn (11457555)

Fig 5 - by Ursula Oggenfuss (7254932)

Predicting improved protein conformations with a temporal deep recurrent neural network - Fig 5 by Erik Pfeiffenberger (5714645)

“…Sampling of the green colored regions indicate an improved state, grey regions a no-change state and red a decreased state. Visualizations of the last hidden layer where the data-points are colored by (J) time, (K) ground truth and (L) predicted labels. …”

Image_5_Interplay Between Plasma Membrane Lipid Alteration, Oxidative Stress and Calcium-Based Mechanism for Extracellular Vesicle Biogenesis From Erythrocytes During Blood Storage... by Anne-Sophie Cloos (9082913)