Results 261 to 270 of about 5,423,188 (382)
Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance
Cellular heterogeneity is a major cause of drug resistance in cancer. Segeren et al. used single‐cell transcriptomics to investigate gene expression events that correlate with sensitivity to the DNA‐damaging drugs gemcitabine and prexasertib. They show that dampened expression of transcription factor FOXM1 and its target genes protected cells against ...
Hendrika A. Segeren+4 more
wiley +1 more source
The study evaluated the function and therapeutic implications of PRAME in basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). The findings demonstrate that PRAME impairs keratinocyte differentiation pathways. Furthermore, PRAME impairs anticancer response to retinoid compounds in BCC and SCC cells.
Brandon Ramchatesingh+6 more
wiley +1 more source
Enhanced multiscale plant disease detection with the PYOLO model innovations. [PDF]
Wang Y+7 more
europepmc +1 more source
On the derivation representation of the fundamental Lie algebra of mixed elliptic motives
Samuel Baumard, Leila Schneps
openalex +2 more sources
A Fundamental Power Price Model with Oligopolistic Competition Representation [PDF]
Miguél Vázquez, Julián Barquı́n
openalex +1 more source
CircCCNB1 expression is down‐regulated in nasopharyngeal carcinoma (NPC); thus, less NF90 protein is bound to circCCNB1 and more binds to pri‐miRNAs, blocking their (pri‐miRNAs) binding to DGCR8 and inhibiting the processing and generation of miR‐15b‐5p/miR‐7‐1‐3p. Furthermore, decreased miR‐15b‐5p/miR‐7‐1‐3p promotes the expression of the target genes
Chunmei Fan+6 more
wiley +1 more source
Influence of flow rate and fiber tension on dynamical, mechanical and acoustical parameters in a synthetic larynx model with integrated fibers. [PDF]
Gühring L+4 more
europepmc +1 more source
Representations of the fundamental group and vector bundles
openaire +2 more sources
Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song+13 more
wiley +1 more source
Extracting speech spectrogram of speech signal based on generalized S-transform. [PDF]
Jiashen L, Xianwu Z.
europepmc +1 more source