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Cancer Gene Networks

Overview of attention for book
Cover of 'Cancer Gene Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction: Cancer Gene Networks.
  3. Altmetric Badge
    Chapter 2 Emerging Methods in Chemoproteomics with Relevance to Drug Discovery.
  4. Altmetric Badge
    Chapter 3 ANXA7-GTPase as Tumor Suppressor: Mechanisms and Therapeutic Opportunities.
  5. Altmetric Badge
    Chapter 4 Experimental and Study Design Considerations for Uncovering Oncometabolites.
  6. Altmetric Badge
    Chapter 5 Targeting Deubiquitinating Enzymes and Autophagy in Cancer.
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    Chapter 6 Quantitative Clinical Imaging Methods for Monitoring Intratumoral Evolution.
  8. Altmetric Badge
    Chapter 7 Transcriptome and Proteome Analyses of TNFAIP8 Knockdown Cancer Cells Reveal New Insights into Molecular Determinants of Cell Survival and Tumor Progression.
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    Chapter 8 Network-Oriented Approaches to Anticancer Drug Response.
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    Chapter 9 CRISPR/Cas-Mediated Knockin in Human Pluripotent Stem Cells.
  11. Altmetric Badge
    Chapter 10 Complete Transcriptome RNA-Seq.
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    Chapter 11 Computational Methods and Correlation of Exon-skipping Events with Splicing, Transcription, and Epigenetic Factors.
  13. Altmetric Badge
    Chapter 12 Tissue Engineering Platforms to Replicate the Tumor Microenvironment of Multiple Myeloma.
  14. Altmetric Badge
    Chapter 13 microRNA Target Prediction.
  15. Altmetric Badge
    Chapter 14 Evaluating the Delivery of Proteins to the Cytosol of Mammalian Cells.
  16. Altmetric Badge
    Chapter 15 Validation of Biomarker Proteins Using Reverse Capture Protein Microarrays.
  17. Altmetric Badge
    Chapter 16 Chemical Synthesis of Activity-Based Diubiquitin Probes.
  18. Altmetric Badge
    Chapter 17 Profiling the Dual Enzymatic Activities of the Serine/Threonine Kinase IRE1α.
Attention for Chapter 14: Evaluating the Delivery of Proteins to the Cytosol of Mammalian Cells.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Chapter title
Evaluating the Delivery of Proteins to the Cytosol of Mammalian Cells.
Chapter number 14
Book title
Cancer Gene Networks
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6539-7_14
Pubmed ID
Book ISBNs
978-1-4939-6537-3, 978-1-4939-6539-7
Authors

Andrea L. J. Marschall, Congcong Zhang, Stefan Dübel, Marschall, Andrea L. J., Zhang, Congcong, Dübel, Stefan

Editors

Usha Kasid, Robert Clarke

Abstract

Delivery of proteins to the cytosol of living cells is a promising research tool. Delivery of antibodies in particular bears exciting applications such as in vivo tracking of proteins at endogenous expression levels or interference with cellular processes. In spite of the large number of methods published for protein delivery, successful applications so far are rare. A possible explanation for this is a vast overestimation of the delivery efficiency due to the use of inappropriate detection methods and/or unsuitable positive controls for cytosolic delivery. Therefore, we provide strategies for unequivocally detecting cytoplasmic protein delivery and quantifying protein transformation efficiency. Finally, we present a protocol for efficient protein delivery to the cytosol validated using these methods.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 2 25%
Other 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Chemistry 3 38%
Agricultural and Biological Sciences 2 25%
Biochemistry, Genetics and Molecular Biology 1 13%
Medicine and Dentistry 1 13%
Unknown 1 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 November 2018.
All research outputs
#4,130,833
of 13,740,867 outputs
Outputs from Methods in molecular biology
#1,274
of 8,530 outputs
Outputs of similar age
#102,281
of 287,681 outputs
Outputs of similar age from Methods in molecular biology
#14
of 56 outputs
Altmetric has tracked 13,740,867 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,530 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,681 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.