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High Throughput Protein Expression and Purification

Overview of attention for book
Cover of 'High Throughput Protein Expression and Purification'

Table of Contents

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    Book Overview
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    Chapter 1 High-Throughput Protein Production (HTPP): A Review of Enabling Technologies to Expedite Protein Production
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    Chapter 2 Designing Experiments for High-Throughput Protein Expression
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    Chapter 3 Gateway cloning for protein expression.
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    Chapter 4 Flexi Vector Cloning
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    Chapter 5 The Precise Engineering of Expression Vectors Using High-Throughput In-Fusion™ PCR Cloning
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    Chapter 6 The Polymerase Incomplete Primer Extension (PIPE) method applied to high-throughput cloning and site-directed mutagenesis.
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    Chapter 7 A Family of LIC Vectors for High-Throughput Cloning and Purification of Proteins
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    Chapter 8 “System 48” High-Throughput Cloning and Protein Expression Analysis
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    Chapter 9 Automated 96-Well Purification of Hexahistidine-Tagged Recombinant Proteins on MagneHis Ni 2 +-Particles
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    Chapter 10 E. coli and Insect Cell Expression, Automated Purification and Quantitative Analysis
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    Chapter 11 Hexahistidine-tagged maltose-binding protein as a fusion partner for the production of soluble recombinant proteins in Escherichia coli.
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    Chapter 12 PHB-Intein-Mediated Protein Purification Strategy
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    Chapter 13 High-throughput biotinylation of proteins.
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    Chapter 14 High-Throughput Insect Cell Protein Expression Applications
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    Chapter 15 High-Throughput Protein Expression Using Cell-Free System
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    Chapter 16 The Production of Glycoproteins by Transient Expression in Mammalian Cells
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    Chapter 17 High-Throughput Expression and Detergent Screening of Integral Membrane Proteins
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    Chapter 18 Cell-Free Expression for Nanolipoprotein Particles: Building a High-Throughput Membrane Protein Solubility Platform
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    Chapter 19 Expression and purification of soluble His(6)-tagged TEV protease.
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    Chapter 20 High-Throughput Protein Concentration and Buffer Exchange: Comparison of Ultrafiltration and Ammonium Sulfate Precipitation
Attention for Chapter 6: The Polymerase Incomplete Primer Extension (PIPE) method applied to high-throughput cloning and site-directed mutagenesis.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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Citations

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Chapter title
The Polymerase Incomplete Primer Extension (PIPE) method applied to high-throughput cloning and site-directed mutagenesis.
Chapter number 6
Book title
High Throughput Protein Expression and Purification
Published in
Methods in molecular biology, January 2009
DOI 10.1007/978-1-59745-196-3_6
Pubmed ID
Book ISBNs
978-1-58829-879-9, 978-1-59745-196-3
Authors

Klock, Heath E, Lesley, Scott A, Heath E. Klock, Scott A. Lesley, Klock, Heath E., Lesley, Scott A.

Abstract

Significant innovations in molecular biology methods have vastly improved the speed and efficiency of traditional restriction site and ligase-based cloning strategies. "Enzyme-free" methods eliminate the need to incorporate constrained sequences or modify Polymerase Chain Reaction (PCR)-generated DNA fragment ends. The Polymerase Incomplete Primer Extension (PIPE) method further condenses cloning and mutagenesis to a very simple two-step protocol with complete design flexibility not possible using related strategies. With this protocol, all major cloning operations are achieved by transforming competent cells with PCR products immediately following amplification. Normal PCRs generate mixtures of incomplete extension products. Using simple primer design rules and PCR, short, overlapping sequences are introduced at the ends of these incomplete extension mixtures which allow complementary strands to anneal and produce hybrid vector/insert combinations. These hybrids are directly transformed into recipient cells without any post-PCR enzymatic manipulations. We have found this method to be very easy and fast as compared to other available methods while retaining high efficiencies. Using this approach, we have cloned thousands of genes in parallel using a minimum of effort. The method is robust and amenable to automation as only a few, simple processing steps are needed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 2 <1%
Switzerland 1 <1%
France 1 <1%
Sweden 1 <1%
Germany 1 <1%
Italy 1 <1%
Poland 1 <1%
Unknown 206 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 25%
Researcher 49 23%
Student > Bachelor 30 14%
Student > Master 15 7%
Professor > Associate Professor 10 5%
Other 24 11%
Unknown 35 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 70 32%
Agricultural and Biological Sciences 67 31%
Chemistry 15 7%
Engineering 5 2%
Chemical Engineering 4 2%
Other 15 7%
Unknown 41 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 29 November 2018.
All research outputs
#3,105,371
of 22,714,025 outputs
Outputs from Methods in molecular biology
#690
of 13,079 outputs
Outputs of similar age
#15,796
of 168,855 outputs
Outputs of similar age from Methods in molecular biology
#15
of 158 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,079 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 94% 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 168,855 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.