This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani+14 more
wiley +1 more source
Fast noisy long read alignment with multi-level parallelism. [PDF]
Xia Z+6 more
europepmc +1 more source
Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen+12 more
wiley +1 more source
Photon-efficient camera with in-sensor computing. [PDF]
Guan Y+16 more
europepmc +1 more source
On tables for setting out the width of cuttings and embankments on sidelong ground; and also forrnulæ for computing thearea of vertical section [PDF]
R Clark
openalex +1 more source
Discussion: “A Mechanical Analyzer for Computing Transient Stresses in Airplane Structures” (Bisplinghoff, R. L., Pian, T. H. H., and Levy, L. I., 1950, ASME J. Appl. Mech., 17, pp. 310–314) [PDF]
Robert H. Scanlan
openalex +1 more source
Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence
The individual functions of three isoforms exchanging ADP and ATP (ADP/ATP translocases; ANTs) on the mitochondrial membrane remain unclear. We developed a method for quantitatively differentiating highly similar human ANT1, ANT2, and ANT3 using parallel reaction monitoring. This method allowed us to assess changes in translocase levels during cellular
Zuzana Liblova+18 more
wiley +1 more source
Sustainability in construction economics as a barrier to cloud computing adoption in small-scale Building projects. [PDF]
Zonghui W+4 more
europepmc +1 more source
Distributed Computing – Grid Computing: Self-Organising Grid Resource Management [PDF]
Lazarevic, A.
core