Results 241 to 250 of about 12,501,640 (402)

Chimeric diphtheria toxin–CCL8 cytotoxic peptide for breast cancer management

open access: yesMolecular Oncology, EarlyView.
DTCCL8 is a recombinant fusion toxin that targets cancer cells expressing chemokine receptors. By combining diphtheria toxin with CCL8, DTCCL8 binds to multiple receptors on tumor cells and induces selective cytotoxicity. This strategy enables receptor‐mediated targeting of cancer and may support the development of chemokine‐guided therapeutics ...
Bernardo Chavez   +5 more
wiley   +1 more source

Utilizing shRNA-expressing lentivectors for viral hemorrhagic septicemia virus suppression via NV gene targeting. [PDF]

open access: yesFront Vet Sci
Pourhoseini Dehkordi N   +4 more
europepmc   +1 more source

An Enhanced Gene Targeting Toolkit for Drosophila: Golic+

open access: yesGenetics, 2015
Hui-Min Chen   +4 more
semanticscholar   +1 more source

ITGAV and SMAD4 influence the progression and clinical outcome of pancreatic ductal adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
In SMAD4‐positive pancreatic ductal adenocarcinoma (PDAC), integrin subunit alpha V (ITGAV) activates latent TGF‐β, which binds to the TGF‐β receptor and phosphorylates SMAD2/3. The activated SMAD2/3 forms a complex with SMAD4, and together they translocate to the nucleus, modulating gene expression to promote proliferation, migration, and invasion. In
Daniel K. C. Lee   +9 more
wiley   +1 more source

A novel approach in using insect-based spinach-food waste for gene targeting to cancer tissues. [PDF]

open access: yesSci Rep
Majd-Marani S   +6 more
europepmc   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

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