Results 141 to 150 of about 963,153 (378)

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

open access: yesMolecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian   +10 more
wiley   +1 more source

The DREAM complex through its subunit Lin37 cooperates with Rb to initiate quiescence

open access: yeseLife, 2017
The retinoblastoma Rb protein is an important factor controlling the cell cycle. Yet, mammalian cells carrying Rb deletions are still able to arrest under growth-limiting conditions.
Christina FS Mages   +3 more
doaj   +1 more source

A Reference-Free Algorithm for Computational Normalization of Shotgun Sequencing Data [PDF]

open access: yes, 2012
Deep shotgun sequencing and analysis of genomes, transcriptomes, amplified single-cell genomes, and metagenomes has enabled investigation of a wide range of organisms and ecosystems. However, sampling variation in short-read data sets and high sequencing
Brom, Timothy H.   +4 more
core   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

open access: yesMolecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy   +9 more
wiley   +1 more source

Near-optimal RNA-Seq quantification [PDF]

open access: yes, 2015
We present a novel approach to RNA-Seq quantification that is near optimal in speed and accuracy. Software implementing the approach, called kallisto, can be used to analyze 30 million unaligned paired-end RNA-Seq reads in less than 5 minutes on a ...
Bray, Nicolas   +3 more
core   +1 more source

Pan-cancer genome and transcriptome analyses of 1,699 pediatric leukemias and solid tumors

open access: yesNature, 2018
Analysis of molecular aberrations across multiple cancer types, known as pan-cancer analysis, identifies commonalities and differences in key biological processes that are dysregulated in cancer cells from diverse lineages.
Xiaotu Ma   +32 more
semanticscholar   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

open access: yesMolecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici   +8 more
wiley   +1 more source

Single-nucleotide resolution mapping of m6A and m6Am throughout the transcriptome

open access: yesNature Methods, 2015
N6-methyladenosine (m6A) is the most abundant modified base in eukaryotic mRNA and has been linked to diverse effects on mRNA fate. Current mapping approaches localize m6A residues to transcript regions 100–200 nt long but cannot identify precise m6A ...
Bastian Linder   +5 more
semanticscholar   +1 more source

Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism

open access: yesMolecular Oncology, EarlyView.
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié   +16 more
wiley   +1 more source

Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology

open access: yesBioinform., 2019
Motivation The composition and density of immune cells in the tumor microenvironment (TME) profoundly influence tumor progression and success of anti-cancer therapies.
G. Sturm   +7 more
semanticscholar   +1 more source

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