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Data of the Month
The Data of the Month initiative is designed to highlight and promote the field of proteomics to both the broader scientific community and the general public through our social media channels. Explore our previous winners below.
December 2024 The Zhang Lab directly labeled tissue proteins with TMT in specific regions guided by histological annotations. Results revealed distinct spatial proteomic profiles, highlighting key protein variations across tissue regions. Read more here.
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November 2024 Peggi Angel and colleagues from @MedUnivSC used machine learning methods on imaging mass spectrometry data to determine hepatocellular carcinoma outcomes with high sensitivity and high specificity, based on collagen proline hydroxylation proteome. Read more here.
| October 2024 The @MicrobialPlanet team compared carbohydrate-active enzyme repertoires of Alteromonas strains to estimate their use of ocean carbohydrates. Diverse enzyme combinations across species highlight niche partitioning patterns that affect the ocean cycle. Read more here.
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September 2024 The September 'Data of the Month' goes to Fredriksson Lab from @KTHuniversity @PixelgenTech! They built a DNA-based method for protein localization ('Molecular Pixelation') to validate the spatial organization of immune cell surface proteins. Read more here.
| August 2024 The US HUPO Ed&Out committee announces our new data of the month highlight. Coming out of the @LauLabColorado, a Jordan Currie et al. publication in Nature Communications. Read more here.
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