Matrisome Project

@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!

[Matrisome Project @Matrisome]

The @NabaLabUIC is hard at work! Just a few days to go until the new @Matrisome Project website goes live! Stay tuned ;-)

[Matrisome Project @Matrisome]

⏱️The count down to the release of the new @Matrisome Project website has started! More too come soon 🤫!

[Matrisome Project @Matrisome]

📢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!

[ASMB @amsocmatbio]

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

[Matrisome Project @Matrisome]

📢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.

[Matrisome Project @Matrisome]

#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!

[Matrisome Project @Matrisome]

#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!

[University of Illinois Cancer Center @UICancerCenter]

Naba’s research doesn’t overlook extracellular matrix - @NabaLabUIC @UIC_COM https://t.co/2Jr9HZ4oxk

[Matrisome Project @Matrisome]

The Extracellular Matrix Goes -Omics: Resources and Tools by @NabaLabUIC and Sylvie Ricard-Blum @UniversiteLyon: https://t.co/1hGatzjLd8

[Matrisome Project @Matrisome]

The Matrisome of Model Organisms: From In-Silico Prediction to Big-Data Annotation by @jan_gebauer and @NabaLabUIC: https://t.co/877MBP907n

[Matrisome Project @Matrisome]

MatrisomeDB: the ECM-protein knowledge database https://t.co/5KPcQorVUl

[Collin Ewald @CollinEwald]

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

[Collin Ewald @CollinEwald]

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

[Extracellular Matrix News @ExtracellMatrix]

The Cancer Matrisome: From Comprehensive Characterization to Biomarker Discovery https://t.co/MzzEJHS3FC

[Pulmonary Cell News @pulmonary_news]

New review! #ExtracellularMatrix in Lung Development, Homeostasis & Disease https://t.co/OHikCXvFBN

[Jon Humphries @JDHL18]

A core matrisome gene signature predicts cancer outcome. https://t.co/YA3oIuvDh6

[Matrisome Project @Matrisome]

Great collaboration with the Ruggiero lab: the in-silico #Matrisome of the zebrafish now predicted! https://t.co/bajSvkihE2

[Matrisome Project @Matrisome]

Journal of Proteome Research Technical Note on #ECMProteomics @NabaLabUIC @kochinstitute @FrancesBalkwill @QMBCI https://t.co/BcXhQUrwYH

[Matrisome Project @Matrisome]

Comparative quant. #ECMProteomics of lung fibrosis & non-small cell lung cancers #NSCLC @kochinstitute @NabaLabUIC https://t.co/cl72dEoBPC

[Matrisome Project @Matrisome]

Comprehensive proteomic characterization of stem cell-derived extracellular matrices https://t.co/VU0DkHY0S2