Results 61 to 70 of about 2,498,124 (314)

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

FEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang, Naoki Sunagawa, Toma Kashima, Kiyohiko Igarashi, Akimasa Miyanaga, Shinya Fushinobu   +5 more
wiley   +1 more source

Prediction of molecular subtypes in acute myeloid leukemia based on gene expression profiling

Haematologica, 2009
We examined the gene expression profiles of two independent cohorts of patients with acute myeloid leukemia [n=247 and n=214 (younger than or equal to 60 years)] to study the applicability of gene expression profiling as a single assay in prediction of ...
Roel G.W. Verhaak, Bas J. Wouters, Claudia A.J. Erpelinck, Saman Abbas, H. Berna Beverloo, Sanne Lugthart, Bob Löwenberg, Ruud Delwel, Peter J.M. Valk   +8 more
doaj   +1 more source

Gene Expression Value Prediction Based on XGBoost Algorithm

Frontiers in Genetics, 2019
Gene expression profiling has been widely used to characterize cell status to reflect the health of the body, to diagnose genetic diseases, etc. In recent years, although the cost of genome-wide expression profiling is gradually decreasing, the cost of ...
Wei Li, Yanbin Yin, Xiongwen Quan, Han Zhang   +3 more
semanticscholar   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Integrative Gene Expression Profiling Reveals That Dysregulated Triple microRNAs Confer Paclitaxel Resistance in Non-Small Cell Lung Cancer via Cotargeting MAPT [Corrigendum]

Cancer Management and Research, 2020
Cai Y, Jia R, Xiong H, et al. Cancer Manag Res. 2019;11:7391—7404. The authors have advised due to an error at the time of figure assembly, Figure 1D on page 7393 is incorrect. The correct Figure 1 is shown below.
Cai Y, Jia R, Xiong H, Ren Q, Zuo W, Lin T, Lin R, Lei Y, Wang P, Dong H, Zhao H, Zhu L, Fu Y, Zeng Z, Zhang W, Wang S   +15 more
doaj  

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Integrated Gene Expression Profiling Analysis Reveals Probable Molecular Mechanism and Candidate Biomarker in Anti-TNFα Non-Response IBD Patients

Journal of Inflammation Research, 2020
Yifan Liu, Yantao Duan, Yousheng Li Department of General Surgery, Shanghai Ninth People’s Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, People’s Republic of ChinaCorrespondence: Yousheng LiDepartment of General ...
Liu Y, Duan Y, Li Y
doaj  

Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies

Molecular Cancer, 2017
Background Colorectal cancer (CRC) cell lines are widely used pre-clinical model systems. Comprehensive insights into their molecular characteristics may improve model selection for biomedical studies.
Kaja C. G. Berg, Peter W. Eide, Ina A. Eilertsen, Bjarne Johannessen, Jarle Bruun, Stine A. Danielsen, Merete Bjørnslett, Leonardo A. Meza-Zepeda, Mette Eknæs, Guro E. Lind, Ola Myklebost, Rolf I. Skotheim, Anita Sveen, Ragnhild A. Lothe   +13 more
doaj   +1 more source

Multi‐omic characterization of consensus molecular subtype 1 (CMS1) colorectal cancer with dampened immune response improves precision medicine

Molecular Oncology, EarlyView.
This study highlights the importance of multi‐omic analyses in characterizing colorectal cancers. Indeed, our analysis revealed a rare CMS1 exhibiting dampened immune activation, including reduced PD‐1 expression, moderate CD8+ T‐cell infiltration, and suppressed JAK/STAT pathway.
Livia Concetti, Manuel Scimeca, Julia Bischof, Jonathan Woodsmith, Massimiliano Agostini, Cristina Fiorani, Yufang Shi, Eleonora Candi, Gerry Melino, Alessandro Mauriello, Giuseppe S. Sica   +10 more
wiley   +1 more source

What can digital transcript profiling reveal about human cancers?

Brazilian Journal of Medical and Biological Research, 2003
Important biological and clinical features of malignancy are reflected in its transcript pattern. Recent advances in gene expression technology and informatics have provided a powerful new means to obtain and interpret these expression patterns.
J.M. Cerutti, G.J. Riggins, S.J. de Souza   +2 more
doaj   +1 more source