A TRIM21-based bioPROTAC highlights the therapeutic benefit of HuR degradation
Author
Abstract
Suggested Citation
DOI: 10.1038/s41467-023-42546-2
Download full text from publisher
References listed on IDEAS
- Florian Meier & Niklas D. Köhler & Andreas-David Brunner & Jean-Marc H. Wanka & Eugenia Voytik & Maximilian T. Strauss & Fabian J. Theis & Matthias Mann, 2021. "Deep learning the collisional cross sections of the peptide universe from a million experimental values," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
- Nicola Fenderico & Revina C. Scherpenzeel & Michael Goldflam & Davide Proverbio & Ingrid Jordens & Tomica Kralj & Sarah Stryeck & Tarek Z. Bass & Guy Hermans & Christopher Ullman & Teodor Aastrup & Pi, 2019. "Anti-LRP5/6 VHHs promote differentiation of Wnt-hypersensitive intestinal stem cells," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
- Anders Lundin & Michelle J. Porritt & Himjyot Jaiswal & Frank Seeliger & Camilla Johansson & Abdel Wahad Bidar & Lukas Badertscher & Sandra Wimberger & Emma J. Davies & Elizabeth Hardaker & Carla P. M, 2020. "Development of an ObLiGaRe Doxycycline Inducible Cas9 system for pre-clinical cancer drug discovery," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Elizabeth L. Hardaker & Emilio Sanseviero & Ankur Karmokar & Devon Taylor & Marta Milo & Chrysis Michaloglou & Adina Hughes & Mimi Mai & Matthew King & Anisha Solanki & Lukasz Magiera & Ricardo Miraga, 2024. "The ATR inhibitor ceralasertib potentiates cancer checkpoint immunotherapy by regulating the tumor microenvironment," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
- Charlotte Adams & Wassim Gabriel & Kris Laukens & Mario Picciani & Mathias Wilhelm & Wout Bittremieux & Kurt Boonen, 2024. "Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
- Erwin De Genst & Kylie S. Foo & Yao Xiao & Eduarde Rohner & Emma de Vries & Jesper Sohlmér & Nevin Witman & Alejandro Hidalgo & Terje R. S. Kolstad & William E. Louch & Susanne Pehrsson & Andrew Park , 2022. "Blocking phospholamban with VHH intrabodies enhances contractility and relaxation in heart failure," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
- Lei Xin & Rui Qiao & Xin Chen & Hieu Tran & Shengying Pan & Sahar Rabinoviz & Haibo Bian & Xianliang He & Brenton Morse & Baozhen Shan & Ming Li, 2022. "A streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Yi Yang & Qun Fang, 2024. "Prediction of glycopeptide fragment mass spectra by deep learning," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Naomi Hoenisch Gravel & Annika Nelde & Jens Bauer & Lena Mühlenbruch & Sarah M. Schroeder & Marian C. Neidert & Jonas Scheid & Steffen Lemke & Marissa L. Dubbelaar & Marcel Wacker & Anna Dengler & Rei, 2023. "TOFIMS mass spectrometry-based immunopeptidomics refines tumor antigen identification," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
- Wen-Feng Zeng & Xie-Xuan Zhou & Sander Willems & Constantin Ammar & Maria Wahle & Isabell Bludau & Eugenia Voytik & Maximillian T. Strauss & Matthias Mann, 2022. "AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- Weiping Sun & Qianqiu Zhang & Xiyue Zhang & Ngoc Hieu Tran & M. Ziaur Rahman & Zheng Chen & Chao Peng & Jun Ma & Ming Li & Lei Xin & Baozhen Shan, 2023. "Glycopeptide database search and de novo sequencing with PEAKS GlycanFinder enable highly sensitive glycoproteomics," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
- Kevin L. Yang & Fengchao Yu & Guo Ci Teo & Kai Li & Vadim Demichev & Markus Ralser & Alexey I. Nesvizhskii, 2023. "MSBooster: improving peptide identification rates using deep learning-based features," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42546-2. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.