Matrisome Project
@Matrisome
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@Matrisome Project is a project led by Dr. Alexandra Naba @NabaLabUIC to disseminate proteomic & in silico data on the #ECMatrix. Our goal: build an #ECMAtlas!
Chicago, IL
Joined July 2015
The @NabaLabUIC is hard at work! Just a few days to go until the new @Matrisome Project website goes live! Stay tuned ;-)
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⏱️The count down to the release of the new @Matrisome Project website has started! More too come soon 🤫!
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📢Attention users: #MatrisomeAnnotator and #MatrisomeAnalyzer are experiencing technical difficulties. Our source codes are available on @github. Thank you for your patience while we work on getting these resources back on line!
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It's almost time for the holiday season⛄❄ We wish you a very #ASMBeHappy holidays! Want something to look forward to in the #NewYear2023? Check out the #collaboration between us and @IntSocMatBio! #ECMatrix #ScienceNoBoundaries #MatrixIsEverywhere
https://t.co/LL5frl0iWb
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📢Attention #MatrisomeDB users: 2.0 is being deployed over the weekend and you may encounter errors when trying to reach https://t.co/ar1E2rMVGR. We are expecting the process to be completed by Monday. MatrisomeDB 1.0, aka "classic", will remain available via the new interface.
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#MatrisomeAnnotator and #MatrisomeAnalyzer are back! Remember that you can retrieve our source codes at https://t.co/NOv0VHPdX5 or at https://t.co/x1JV59rJlz. And if you are using our tools, please cite us! It will allow us to continue to develop cool tools for #ECM research!
github.com
The Matrisome Project is spearheaded by Dr. Alexandra Naba and aims to facilitate the development of computational and proteomic approaches to study the ECM. - Matrisome
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#MatrisomeAnnotator and #MatrisomeAnalyzer are experiencing technical difficulties. In the meantime our source codes are available at https://t.co/NOv0VHPdX5 under "Analytical Tools". Thank you for your patience while we work on getting these resources back on line!
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Naba’s research doesn’t overlook extracellular matrix - @NabaLabUIC @UIC_COM
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The Extracellular Matrix Goes -Omics: Resources and Tools by @NabaLabUIC and Sylvie Ricard-Blum @UniversiteLyon:
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The Matrisome of Model Organisms: From In-Silico Prediction to Big-Data Annotation by @jan_gebauer and @NabaLabUIC:
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Which proteins form #extracellular #matrces? In collaboration, we (@Alincaro_T, @JongsmaE, @martinnaperdav1, @jan_gebauer, @NabaLabUIC) defined the @matrisome and classified the #collagens of C. elegans. Check out our online tools to annotate your datasets https://t.co/y3kJ5BpMic
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Check out our submitted cover "The C. elegans #Matrisome" from @Alincaro_T #EwaldLab for the competition of the first cover of the newly launched journal of Matrix Biology Plus. Collaborative #Matrisome work with @NabaLabUIC & @jan_gebauer. https://t.co/nanumJrxPF
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The Cancer Matrisome: From Comprehensive Characterization to Biomarker Discovery
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New review! #ExtracellularMatrix in Lung Development, Homeostasis & Disease
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A core matrisome gene signature predicts cancer outcome.
pubmed.ncbi.nlm.nih.gov
Here we identify a nine-gene ECM signature, which strongly predicts outcome across multiple cancer types and can be used for prognostication after validation in prospective cancer cohorts.
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Great collaboration with the Ruggiero lab: the in-silico #Matrisome of the zebrafish now predicted! https://t.co/bajSvkihE2
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Journal of Proteome Research Technical Note on #ECMProteomics @NabaLabUIC @kochinstitute @FrancesBalkwill @QMBCI
https://t.co/BcXhQUrwYH
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Comparative quant. #ECMProteomics of lung fibrosis & non-small cell lung cancers #NSCLC @kochinstitute @NabaLabUIC
https://t.co/cl72dEoBPC
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Comprehensive proteomic characterization of stem cell-derived extracellular matrices
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