Results 91 to 100 of about 490,947 (358)

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

On the unknown proteins of eukaryotic proteomes [PDF]

arXiv, 2022
In order to study unknown proteins on a large scale, a reference system has been set up for the three major eukaryotic lineages, built with 36 proteomes as taxonomically diverse as possible. Proteins from 362 eukaryotic proteomes with no known homologue in this set were then analyzed, focusing noteworthy on singletons, that is, on unknown proteins with
arxiv  

Functional proteomics

Clinica Chimica Acta, 2005
With the increase in the number of genome sequencing projects, there is a concomitant exponential growth in the number of protein sequences whose function is still unknown. Functional proteomics constitutes an emerging research area in the proteomic field whose approaches are addressed towards two major targets: the elucidation of the biological ...
MONTI, MARIA, ORRU S, PAGNOZZI D, PUCCI, PIETRO   +3 more
openaire   +4 more sources

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

Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research.

Methods in molecular biology, 2018
Mass spectrometry-based proteomics is a continuously growing field marked by technological and methodological improvements. Cancer proteomics is aimed at pursuing goals such as accurate diagnosis, patient stratification, and biomarker discovery, relying ...
Stefka Tyanova, Jüergen Cox
semanticscholar   +1 more source

Recent advances in mass spectrometry based clinical proteomics: applications to cancer research

Clinical Proteomics, 2020
Cancer biomarkers have transformed current practices in the oncology clinic. Continued discovery and validation are crucial for improving early diagnosis, risk stratification, and monitoring patient response to treatment.
A. Macklin, Shahbaz Khan, T. Kislinger
semanticscholar   +1 more source

The speciation of the proteome [PDF]

Chemistry Central Journal, 2008
In proteomics a paradox situation developed in the last years. At one side it is basic knowledge that proteins are post-translationally modified and occur in different isoforms. At the other side the protein expression concept disclaims post-translational modifications by connecting protein names directly with function.Optimal proteome coverage is ...
Jungblut, P., Holzhütter, H., Apweiler, R., Schlüter, H.   +3 more
openaire   +5 more sources

Thermal proteome profiling and proteome analysis using high‐definition mass spectrometry demonstrate modulation of cholesterol biosynthesis by next‐generation galeterone analog VNPP433‐3β in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
Elevated level of cholesterol is positively correlated to prostate cancer development and disease severity. Cholesterol‐lowering drugs, such as statins, are demonstrated to inhibit prostate cancer. VNPP433‐3β interrupts multiple signaling and metabolic pathways, including cholesterol biosynthesis, AR‐mediated transcription of several oncogenes, mRNA 5′
Retheesh S. Thankan, Elizabeth Thomas, Mehari M. Weldemariam, Puranik Purushottamachar, Weiliang Huang, Maureen A. Kane, Yuji Zhang, Nicholas Ambulos, Bi‐Dar Wang, David Weber, Vincent C. O. Njar   +10 more
wiley   +1 more source

Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics*

Molecular & Cellular Proteomics, 2013
Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease.
Linn Fagerberg, B. Hallström, P. Oksvold, C. Kampf, Dijana Djureinovic, J. Odeberg, Masato Habuka, Simin Tahmasebpoor, A. Danielsson, K. Edlund, A. Asplund, E. Sjöstedt, E. Lundberg, C. Szigyarto, Marie Skogs, Jenny Ottosson Takanen, H. Berling, Hanna Tegel, J. Mulder, P. Nilsson, J. Schwenk, C. Lindskog, Frida Danielsson, A. Mardinoğlu, Åsa Sivertsson, K. von Feilitzen, Mattias Forsberg, M. Zwahlen, Ingmarie Olsson, S. Navani, M. Huss, J. Nielsen, F. Pontén, M. Uhlén   +33 more
semanticscholar   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

Molecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu, Jianchao Wang, Fuqing Chen, Xuefeng Wang, Bin Lan, Ruyi Fu, Hong Wen, Fangfang Chen, Wei Hong, Tian‐Yu Tang, Ying He, Gang Chen, Jianyin Zhou, Hai‐Long Piao, Di Chen, Shu‐Yong Lin   +15 more
wiley   +1 more source