Evidence map›Paper›PMID 26161996›Full record

ArticleBioconjugate chemistry2015

Efficient Identification of Murine M2 Macrophage Peptide Targeting Ligands by Phage Display and Next-Generation Sequencing.

Gary W Liu, Brynn R Livesay, Nataly A Kacherovsky, Maryelise Cieslewicz, Emi Lutz, Adam Waalkes, Michael C Jensen, Stephen J Salipante, Suzie H Pun

Abstract read
In one paragraph

Article in Bioconjugate chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 46 citations in OpenAlex.

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  18. Review
  19. Peptides as drug delivery vehicles across biological barriers.Journal of pharmaceutical investigation · 2018
    Article
  20. Biopanning data bank 2018: hugging next generation phage display.Database : the journal of biological databases and curation · 2018
    Article
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

9 authors at 4 institutions in 2 countries.

Gary W Liu
Brynn R Livesay
Nataly A Kacherovsky
Maryelise Cieslewicz
Emi Lutz
Adam Waalkes
Michael C Jensen§Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington 98145, United States.
Stephen J Salipante
Suzie H Pun
Molecular Sciences Institute · USBioengineering (Switzerland) · CHUniversity of Washington · USSeattle Children's Hospital · US

Funding

POTENTIATING BREAST CANCER THERAPIES BY TARGETING TUMOR-ASSOCIATED MACROPHAGER01CA177272 · NCI · UNIVERSITY OF WASHINGTON · PI PUN, SUZIE H. · 2014 to 2019
$2.0M
Astrocyte-specific ligand discovery by phage displayR21NS086500 · NINDS · UNIVERSITY OF WASHINGTON · PI HORNER, PHILIP J, PUN, SUZIE H. · 2015 to 2016
$479k
NCI NIH HHS 1R01CA177272NCI NIH HHS R01 CA177272NINDS NIH HHS R21 NS086500NINDS NIH HHS R21NS086500
6 · The paper itself

Abstract

Peptide ligands are used to increase the specificity of drug carriers to their target cells and to facilitate intracellular delivery. One method to identify such peptide ligands, phage display, enables high-throughput screening of peptide libraries for ligands binding to therapeutic targets of interest. However, conventional methods for identifying target binders in a library by Sanger sequencing are low-throughput, labor-intensive, and provide a limited perspective (<0.01%) of the complete sequence space. Moreover, the small sample space can be dominated by nonspecific, preferentially amplifying "parasitic sequences" and plastic-binding sequences, which may lead to the identification of false positives or exclude the identification of target-binding sequences. To overcome these challenges, we employed next-generation Illumina sequencing to couple high-throughput screening and high-throughput sequencing, enabling more comprehensive access to the phage display library sequence space. In this work, we define the hallmarks of binding sequences in next-generation sequencing data, and develop a method that identifies several target-binding phage clones for murine, alternatively activated M2 macrophages with a high (100%) success rate: sequences and binding motifs were reproducibly present across biological replicates; binding motifs were identified across multiple unique sequences; and an unselected, amplified library accurately filtered out parasitic sequences. In addition, we validate the Multiple Em for Motif Elicitation tool as an efficient and principled means of discovering binding sequences.

Indexed as

Peptide LibraryAlgorithmsAnimalsBacteriophagesCells, CulturedHigh-Throughput Nucleotide SequencingLigandsMacrophagesMicePeptide FragmentsLigandsPeptide FragmentsPeptide Library

Identifiers

PMID26161996
PMCPMC4640889
OpenAlexW2421292429

What OpenQuestion holds

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LicenceTDM
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.