Results 281 to 290 of about 6,852,071 (351)
20 Hz mechanical vibration induced A431 cancer cells' apoptosis without such effect on other healthy cell lines of L929 and C2C12. Lowered glucose consumption is observed specifically in A431. The expressions of ROS, HMGB1, and HSP1 levels initially increase and subsequently decrease in the cancer cell line, as opposed to L929 and C2C12, which ...
Wresti L. Anggayasti+5 more
wiley +1 more source
Statistical models and implant customization in hip arthroplasty: Seeking patient satisfaction through design. [PDF]
Quiceno E+3 more
europepmc +1 more source
FEM1B enhances TRAIL‐induced apoptosis in T lymphocytes and monocytes
FEM1B facilitates TRAIL‐induced apoptosis through distinct mechanisms in T lymphocytes and monocytes. In T lymphocytes, FEM1B engages with TRAF2, leading to a reduction in TRAF2 expression, which subsequently lessens TRAF2's inhibitory influence on caspase‐8.
Chenbo Yang+5 more
wiley +1 more source
Predicting macular hole surgery outcomes: Integrating preoperative OCT features with supervised machine learning statistical models. [PDF]
Venkatesh R+9 more
europepmc +1 more source
The inactivation of SLC35C1 (GDP‐fucose transporter) and enzymes involved in GDP‐fucose biosynthesis was studied. Fucose supplementation increases the level of GDP‐fucose to abnormal, millimolar values in the absence of the TSTA3 protein and SLC35C1 in contrast to the GMDS/SLC35C1 double mutant.
Edyta Skurska, Mariusz Olczak
wiley +1 more source
A systematic review and guide for using multi-response statistical models in co-infection research. [PDF]
Powell-Romero F, Wells K, Clark NJ.
europepmc +1 more source
In the blood–testis barrier, occludin is crucial for tight junctions. This study demonstrates that occludin‐targeting short peptides disrupt junction integrity, inducing immune cell infiltration, tumor necrosis factor‐α/interleukin‐6 secretion and mitochondrial dysfunction, ultimately triggering apoptosis.
Heng Wang, Xiaofang Tan, Deyu Chen
wiley +1 more source
An examination of daily CO<sub>2</sub> emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models. [PDF]
Ajala AA+3 more
europepmc +1 more source
Identifying prognostic targets in metastatic prostate cancer beyond AR
Genome‐wide functional screens combined with a large gene expression database and clinical outcomes can identify new therapeutic vulnerabilities in prostate cancer. Eight potentially druggable targets demonstrated strong dependency in cell lines, were associated with worse prognosis clinically, and showed evidence of protein expression in prostate ...
Emily Feng+13 more
wiley +1 more source