Results 211 to 220 of about 10,300,849 (340)

Quantitative proteomic analysis based on TMT reveals different responses of Haloxylon ammodendron and Haloxylon persicum to long-term drought. [PDF]

BMC Plant Biol
Yang F, Ding X, Lv G.
europepmc   +1 more source

VALENCY RULE AND ALLEGED HOFMEISTER SERIES IN THE COLLOIDAL BEHAVIOR OF PROTEINS [PDF]

, 1923
Jacques Loeb, M. Kunitz
openalex   +1 more source

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

Molecular 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, Amelia Martinez Villarreal, Philippe Lefrançois, Jennifer Gantchev, Sriraam Sivachandran, Samy Abou Setah, Ivan V. Litvinov   +6 more
wiley   +1 more source

The Influence of the Protein and Energy Content of the Diet on the Liver [PDF]

, 1954
Hamish N. Munro
openalex   +1 more source

CircCCNB1 inhibits vasculogenic mimicry by sequestering NF90 to promote miR‐15b‐5p and miR‐7‐1‐3p processing in nasopharyngeal carcinoma

Molecular Oncology, EarlyView.
CircCCNB1 expression is down‐regulated in nasopharyngeal carcinoma (NPC); thus, less NF90 protein is bound to circCCNB1 and more binds to pri‐miRNAs, blocking their (pri‐miRNAs) binding to DGCR8 and inhibiting the processing and generation of miR‐15b‐5p/miR‐7‐1‐3p. Furthermore, decreased miR‐15b‐5p/miR‐7‐1‐3p promotes the expression of the target genes
Chunmei Fan, Fenghua Tan, Jie Wu, Zhaoyang Zeng, Wenjia Guo, He Huang, Wei Xiong   +6 more
wiley   +1 more source

Fiber Type-Specific Adaptations to Exercise Training in Human Skeletal Muscle: Lessons From Proteome Analyses and Future Directions. [PDF]

Scand J Med Sci Sports
Hostrup M, Deshmukh AS.
europepmc   +1 more source

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

Molecular 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, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source

Circulatory prostate cancer proteome landscapes and prognostic biomarkers in metastatic castrate resistant prostate cancer. [PDF]

Clin Proteomics
Lee H, Shen J, Fadlullah MZ, Neibling A, Hanson C, Ampaw E, Lin T, Larsen M, Lloyd J, Maughan BL, Swami U, Gupta S, Tward J, Johnson SB, O'Neil B, Schmidt B, Dechet CB, Haaland B, Wang L, Tan AC, Kohli M.   +20 more
europepmc   +1 more source

The Analysis of Proteins. IV. Some Analyses of Gelatin [PDF]

, 1924
Robert Henry Aders Plimmer, Takahiro Shimamura   +1 more
openalex   +1 more source

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source