Results 81 to 90 of about 576,501 (302)

Multiplexed proteomic biosensor platform for label-free real-time simultaneous kinetic screening of thousands of protein interactions

open access: yesCommunications Biology
Studying protein interactions in high throughput (HTP) is critical for advancing many aspects of drug discovery, biomarker identification, and diagnostic development.
Chidozie Victor Agu   +5 more
doaj   +1 more source

Site-specific identification and quantitation of endogenous SUMO modifications under native conditions. [PDF]

open access: yes, 2017
Small ubiquitin-like modifier (SUMO) modification regulates numerous cellular processes. Unlike ubiquitin, detection of endogenous SUMOylated proteins is limited by the lack of naturally occurring protease sites in the C-terminal tail of SUMO proteins ...
Ahmad, Alla S   +8 more
core   +2 more sources

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

Learning important features from multi-view data to predict drug side effects

open access: yesJournal of Cheminformatics, 2019
The problem of drug side effects is one of the most crucial issues in pharmacological development. As there are many limitations in current experimental and clinical methods for detecting side effects, a lot of computational algorithms have been ...
Xujun Liang   +6 more
doaj   +1 more source

Pitfalls in histone propionylation during bottom-up mass spectrometry analysis [PDF]

open access: yes, 2015
Despite their important role in regulating gene expression, posttranslational histone modifications remain technically challenging to analyze. For identification by bottom-up MS, propionylation is required prior to and following trypsin digestion. Hereby,
Deforce, Dieter   +4 more
core   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

AlphaPept: a modern and open framework for MS-based proteomics

open access: yesNature Communications
In common with other omics technologies, mass spectrometry (MS)-based proteomics produces ever-increasing amounts of raw data, making efficient analysis a principal challenge.
Maximilian T. Strauss   +10 more
doaj   +1 more source

An Optimized Data Structure for High Throughput 3D Proteomics Data: mzRTree [PDF]

open access: yes, 2010
As an emerging field, MS-based proteomics still requires software tools for efficiently storing and accessing experimental data. In this work, we focus on the management of LC-MS data, which are typically made available in standard XML-based portable ...
Aebersold   +17 more
core   +2 more sources

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

open access: yesMolecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh   +12 more
wiley   +1 more source

PRIDE : new developments and new datasets [PDF]

open access: yes, 2008
The PRIDE (http://www.ebi.ac.uk/pride) database of protein and peptide identifications was previously described in the NAR Database Special Edition in 2006.
P. Jones   +29 more
core   +1 more source

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