Results 241 to 250 of about 7,795,985 (403)

Comparative performance evaluation of bisulfite- and enzyme-based DNA conversion methods. [PDF]

open access: yesClin Epigenetics
Simons RB   +5 more
europepmc   +1 more source

DNA targeting specificity of RNA-guided Cas9 nucleases

open access: yesNature Biotechnology, 2013
P. Hsu   +13 more
semanticscholar   +1 more source

Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance

open access: yesMolecular Oncology, EarlyView.
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

Understanding DNA-encoded carbon nanotube sorting and sensing via sub-nm-resolution structural determination. [PDF]

open access: yesSci Adv
Li Y   +10 more
europepmc   +1 more source

Targeting PRAME directly or via EZH2 inhibition overcomes retinoid resistance and represents a novel therapy for keratinocyte carcinoma

open access: yesMolecular Oncology, EarlyView.
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

Prognostic value of circulating HPV cell-free DNA in cervical cancer using liquid biopsy. [PDF]

open access: yesSci Rep
Gupta A   +12 more
europepmc   +1 more source

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

open access: yesMolecular Oncology, EarlyView.
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

Home - About - Disclaimer - Privacy