Results 81 to 90 of about 4,727,278 (305)

Gene expression profiling in DLBCL primary clinical samples

, 2016
Accession Number: GSE74266 Platform: GPL570: [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array Organism: Homo sapiens Published on 2016-10-05 Summary: Gene expression profiling was performed for 28 DLBCL primary clinical samples and assignment
Aalborg University Hospital, Dybkær, Karen; id_orcid, The Faculty of Engineering and Science (ENG), Klinik Kirurgi og Kræftbehandling, Department of Clinical Medicine, Schmitz, Alexander, Ettrup, Marianne Schmidt, Bilgrau, Anders Ellern, Klinik Diagnostik, Klinik Medicin, Bøgsted, Martin; id_orcid, Jørgensen, Laura Krogh, The Faculty of Medicine, Ranjbar, Benyamin, Aarhus University, Johnsen, Hans Erik, Primo, Maria Nascimento, Marques, Sara Correia, Department of Pathology, Blodsygdomme (Hæmatologi) [Klinik Medicin], Falgreen, Steffen, Laursen, Maria Bach, Bødker, Julie Støve; id_orcid, Mikkelsen, Jacob Giehm, Aalborg University, Department of Mathematical Sciences   +25 more
core  

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Early gene expression divergence between allopatric populations of the house mouse (Mus musculus domesticus) [PDF]

, 2013
Divergence of gene expression is known to contribute to the differentiation and separation of populations and species, although the dynamics of this process in early stages of population divergence remains unclear. We analyzed gene expression differences
Meike Teschke, Teschke, Meike, Somel, Mehmet, Somel, M. ; https://orcid.org/, Lorenc, Anna, Bryk, Jarek, Mehmet Somel, Anna Lorenc, Bryk, Jaroslaw, Jarosław Bryk, Teschke, M., Somel, M., Bryk, J., Lorenc, A.   +13 more
core   +1 more source

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

FEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani, Konstantinos Spanopoulos, Zoi Piperigkou, Nikos K. Karamanos   +3 more
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  

Massively parallel nanowell-based single-cell gene expression profiling

BMC Genomics, 2017
Background Technological advances have enabled transcriptome characterization of cell types at the single-cell level providing new biological insights.
Leonard D. Goldstein, Ying-Jiun Jasmine Chen, Jude Dunne, Alain Mir, Hermann Hubschle, Joseph Guillory, Wenlin Yuan, Jingli Zhang, Jeremy Stinson, Bijay Jaiswal, Kanika Bajaj Pahuja, Ishminder Mann, Thomas Schaal, Leo Chan, Sangeetha Anandakrishnan, Chun-wah Lin, Patricio Espinoza, Syed Husain, Harris Shapiro, Karthikeyan Swaminathan, Sherry Wei, Maithreyan Srinivasan, Somasekar Seshagiri, Zora Modrusan   +23 more
doaj   +1 more source

Mean Expression of the X-Chromosome is Associated with Neuronal Density. [PDF]

, 2012
peer reviewedBackground: Neurodegenerative diseases are characterized by key features such as loss of neurons, astrocytosis, and microglial activation/proliferation. These changes cause differences in the density of cell types between control and disease
Pascal F. Durrenberger, James Thomas Swingland, Durrenberger, Pascal F, Swingland, James T., Reynolds, Richard, DEPREZ, Manuel, Pombo, A., Deprez, M, Roncaroli, F, Durrenberger, P.F., David T Dexter, Richard eReynolds, Dexter, DT, Turkheimer, Federico E; id_orcid, Turkheimer, Federico E., James T. Swingland, Ana Pombo, Federico Roncaroli, Turkheimer, FE, Swingland, J.T., Durrenberger, PF, David T. Dexter, Pombo, Ana, Dexter, David T, Durrenberger, Pascal F., Reynolds, R, Turkheimer, F.E., Manuel eDeprez, Swingland, James T, Federico E. Turkheimer, Dexter, D.T., Roncaroli, Federico, Federico eRoncaroli, Richard Reynolds, Reynolds, R., Turkheimer, Federico E, Manuel Deprez, Pombo, A, Pascal F Durrenberger, Ana ePombo, Dexter, David T., Deprez, M., Roncaroli, F., Swingland, JT   +43 more
core   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Profiling Gene Expression Using Onto-Express

Genomics, 2002
Gene expression profiles obtained through microarray or data mining analyses often exist as vast data strings. To interpret the biology of these genetic profiles, investigators must analyze this data in the context of other information such as the biological, biochemical, or molecular function of the translated proteins.
Purvesh, Khatri, Sorin, Draghici, G Charles, Ostermeier, Stephen A, Krawetz   +3 more
openaire   +2 more sources

Tumor-stroma derived gene expression patterns as prognosticators in breast cancer [PDF]

, 2010
The stroma, which embeds epithelial cells, plays a major role in the shaping and physiological regulation of animal organs such as the breast. Aberrant functioning of the stroma was found to support tumorigenesis and cancer progression.
Rajski, Michal
core   +1 more source