Results 141 to 150 of about 3,562,975 (305)

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

open access: yesMolecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński   +12 more
wiley   +1 more source

Analysis for sparse channel representation based on dictionary learning in massive MIMO systems

open access: yesIET Communications
The accuracy analysis of dictionary sparse representation for channels in massive MIMO systems is a relatively unexplored field. Existing research has primarily focused on investigating the accuracy of dictionary sparse representation using simulation in
Qing‐Yang Guan
doaj   +1 more source

Overcoming platinum resistance by the disulfiram metabolite CuET in novel preclinical models of human carcinomas

open access: yesMolecular Oncology, EarlyView.
Cisplatin‐resistant cancer cells survive DNA‐damaging platinum‐based treatment yet remain sensitive to CuET‐induced proteotoxic stress. The distinct mechanism of action allows CuET to overcome and eliminate cisplatin‐resistant tumour cells, unless highly expressed metallothioneins (MTs) interfere with CuET, thereby highlighting MT levels as candidate ...
Stefanos Arampatzis   +20 more
wiley   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

open access: yesFEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová   +2 more
wiley   +1 more source

Asymmetric Twin Representation: the Transfer Matrix Symmetry

open access: yesSymmetry, Integrability and Geometry: Methods and Applications, 2007
The symmetry of the Hamiltonian describing the asymmetric twin model was partially studied in earlier works, and our aim here is to generalize these results for the open transfer matrix.
Anastasia Doikou
doaj  

Matrix representation of real and hypercomplex Appell polynomials [PDF]

open access: yes, 2015
In a unfied approach to the matrix representation of di erent types of real Appell polynomials was developed, based on a special matrix which has only the natural numbers as entries.
Tomaz, Graça, Malonek, H. R.
core  

Calculation and representation of the eigenvectors in the weighted super-matrix.

open access: yes, 2019
Calculation and representation of the eigenvectors in the weighted super-matrix.
Seungwoon Lee (6786398)   +2 more
core   +1 more source

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

open access: yesFEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão   +3 more
wiley   +1 more source

Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA

open access: yesFEBS Open Bio, EarlyView.
PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro   +1 more
wiley   +1 more source

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