Evidence map›Paper›PMID 27229346›Full record

ReviewExperimental biology and medicine (Maywood, N.J.)2016

Post-translational modification profiling - A novel tool for mapping the protein modification landscape in cancer.

Avital Eisenberg-Lerner, Aaron Ciechanover, Yifat Merbl

Open access · greenAbstract readReview
In one paragraph

Review in Experimental biology and medicine (Maywood, N.J.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Avital Eisenberg-LernerDepartment of Immunology, The Weizmann Institute of Science, Rehovot 76100, Israel.
Aaron CiechanoverThe Technion Integrated Cancer Center, The Rappaport Faculty of Medicine and Research Institute, Technion - Israel Institute of Technology, Haifa 31096, Israel Yifat.Merbl@weizmann.ac.il.
Yifat MerblDepartment of Immunology, The Weizmann Institute of Science, Rehovot 76100, Israel.
Weizmann Institute of Science · ILTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ubiquitin system plays an important role in essentially every cellular process, regulating numerous pathways ranging from development, transcription, DNA damage response, cell cycle, and signal transduction. Its best studied role involves removal of faulty proteins or those that are not necessary anymore. Aberrations in the ubiquitin system have been implicated in various pathologies including cancer, where specific mutations in E3 ligases such as Mdm2, pVHL, and BRCA1 have been linked to disease progression, prognosis, and resistance to drugs. Yet, there are hundreds of E3 ligases in the human genome and our knowledge of their target proteins and their dynamic regulation in the cellular environment is largely limited. In addition, fundamental questions related to recognition and specificity in ubiquitin conjugation remain unanswered. It is thus of major importance to characterize the ubiquitin landscape under various cellular conditions, and study how the regulatory network is altered in health and disease. To do so, analytical tools that allow identification of ubiquitin substrates, the conjugation and removal of ubiquitin, and the nature of specific ubiquitin linkages that are formed are needed. In this mini-review, we discuss common proteomic methodologies applied to studying the ubiquitome, and specifically focus on our recently developed post-translational modification (PTM) profiling approach. PTM profiling is a functional assay, amenable to biochemical manipulation, which allows the detection of protein modifications in a high-throughput manner. We discuss in detail the advantages and limitations of this system, focusing primarily on examples for analyzing the ubiquitin system in cancer. Uncovering the intricate signaling dynamics governed by and regulating ubiquitin modifications should clearly evolve into a new paradigm in understanding the molecular basis of malignant transformation and the development of novel therapeutic modalities.

Indexed as

Protein Processing, Post-TranslationalHumansNeoplasmsProteomicsSignal TransductionUbiquitinUbiquitinationUbiquitin-Protein LigasesUbiquitinUbiquitin-Protein LigasescancerE3 ligasesprotein microarraysproteomicsUbiquitinubiquitin-like molecules

Identifiers

PMID27229346
PMCPMC4994912
OpenAlexW2400046918

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.