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Abacus Concepts trans-proteomic pipeline (tpp)
Trans Proteomic Pipeline (Tpp), supplied by Abacus Concepts, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/trans-proteomic+pipeline+(tpp)/trans+proteomic+pipeline++tpp+/pmc03744239-84-25-14
Average 90 stars, based on 1 article reviews
trans-proteomic pipeline (tpp) - by Bioz Stars, 2026-08
90/100 stars

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<t>Proteomic</t> study. Overview of the main detected proteins in esophageal tubules (ETs) and patches (EPs) decellularized with Protocols Nos. 1 (ET1, EP1), 2 (ET2, EP2) and 3 (ET3, EP3). (Green: positive protein expression; red: negative protein expression).
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Image Search Results


Proteomic study. Overview of the main detected proteins in esophageal tubules (ETs) and patches (EPs) decellularized with Protocols Nos. 1 (ET1, EP1), 2 (ET2, EP2) and 3 (ET3, EP3). (Green: positive protein expression; red: negative protein expression).

Journal: Cells

Article Title: Bio-Engineered Scaffolds Derived from Decellularized Human Esophagus for Functional Organ Reconstruction

doi: 10.3390/cells11192945

Figure Lengend Snippet: Proteomic study. Overview of the main detected proteins in esophageal tubules (ETs) and patches (EPs) decellularized with Protocols Nos. 1 (ET1, EP1), 2 (ET2, EP2) and 3 (ET3, EP3). (Green: positive protein expression; red: negative protein expression).

Article Snippet: Mass spec data were lock-mass corrected, peak picked, converted into mzML format using Trans Proteomic Pipeline (TPP) and processed with Proteome Discoverer 2.2 (ThermoFisher Scientific).

Techniques: Expressing

Selected MS data analysis pipeline suites

Journal: Molecular Endocrinology

Article Title: Minireview: Progress and Challenges in Proteomics Data Management, Sharing, and Integration

doi: 10.1210/me.2012-1180

Figure Lengend Snippet: Selected MS data analysis pipeline suites

Article Snippet: TPP (Trans-Proteomic Pipeline) , Suite for validation, quantitation, and visualization of MS and MS/MS data, incorporating a variety of search engines , http://sourceforge.net/projects/sashimi ( 129 ) with a guided tour ( 130 ).

Techniques: Labeling, Quantitation Assay, Multiplex sample analysis, Phospho-proteomics, Biomarker Discovery