Results 121 to 130 of about 24,365,275 (295)

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

Molecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu, Nicolas J. Niklaus, Anna M. Schläfli, Igor Tokarchuk, Magali Humbert, Federico La Manna, Bich Vu, David Maul, Ramin Radpour, Marianna Kruithof‐de Julio, Inti Zlobec, Jörn Dengjel, Bruce E. Torbett, Mario P. Tschan   +13 more
wiley   +1 more source

Strategies for data normalization and missing data imputation and consequences for potential diagnostic microRNA biomarkers in epithelial ovarian cancer. [PDF]

PLoS One, 2023
Lopacinska-Jørgensen J, Petersen PHD, Oliveira DVNP, Høgdall CK, Høgdall EV.   +4 more
europepmc   +1 more source

Supporting Self-Explanation in a Data

, 2003
Self-explanation is one of the most effective learning strategies, resulting in deep knowledge. In this paper, we discuss how self-explanation is scaffolded in NORMIT, a data normalization tutor.
Antonija Mitrovic, Normalization Tutor Antonija   +1 more
core  

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Subsequence Join in Streaming Time Series under Dynamic Time Warping

Vietnam Journal of Computer Science
Subsequence join in time series is to search for couples of similar subsequences from multiple time series. The task is useful in data mining on time series; nevertheless, it is extremely difficult because of its enormous computational cost.
Bui Cong Giao, Duong Tuan Anh
doaj   +1 more source

Identification of extremely GC-rich micro RNAs for RT-qPCR data normalization in human plasma. [PDF]

Front Genet, 2022
Baumann V, Athanasiou AT, Faridani OR, Schwerdtfeger AR, Wallner B, Steinborn R.   +5 more
europepmc   +1 more source

Data for: Climate normals and weather normalization for utility regulation

, 2016
of associated article: In the regulation of natural gas and electric utilities, the determination of rate revenues commonly involves a sales adjustment to reflect the difference between actual weather and normal weather. This adjustment process, commonly
Won, S (via Mendeley Data)
core   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

microeco 2: A comprehensive R package for downstream analysis of microbiome omics data

iMeta
Efficient downstream analysis of microbiome data remains a major challenge for researchers. Since its initial release in late 2020, the R microeco package has been widely used for downstream statistical analysis and visualization of omics data, such as ...
Chi Liu, Xiangzhen Li, Felipe R. P. Mansoldo, Tong Chen, Fanzheng Meng, Ruixiang Tang, Siyu Zhou, Qinghua Yang, Ruixin Shao, Minjie Yao   +9 more
doaj   +1 more source

Minimizing Cohort Discrepancies: A Comparative Analysis of Data Normalization Approaches in Biomarker Research

Computation
Biological variance among samples across different cohorts can pose challenges for the long-term validation of developed models. Data-driven normalization methods offer promising tools for mitigating inter-sample biological variance.
Alisa Tokareva, Natalia Starodubtseva, Vladimir Frankevich, Denis Silachev   +3 more
doaj   +1 more source