Evidence map›Paper›PMID 31752022›Full record

ArticleNucleic acids research2020

HaloTag-based conjugation of proteins to barcoding-oligonucleotides.

Junshi Yazaki, Yusuke Kawashima, Taisaku Ogawa, Atsuo Kobayashi, Mayu Okoshi, Takashi Watanabe, Suguru Yoshida, Isao Kii, Shohei Egami, Masayuki Amagai and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. CaeLife · 2024
    Article
  3. CabioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Recent biomedical advances enabled by HaloTag technology.Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al · 2022
    Article
  10. Review
  11. Review
  12. Article
  13. 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

13 authors.

Junshi YazakiLaboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama City 230-0045, Japan.
Yusuke KawashimaLaboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama City 230-0045, Japan.
Taisaku OgawaLaboratory for Prediction of Cell Systems Dynamics, RIKEN Center for Biosystems Dynamics Research (BDR), Osaka 565-0874, Japan.
Atsuo KobayashiLaboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama City 230-0045, Japan.
Mayu OkoshiLaboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama City 230-0045, Japan.
Takashi WatanabeLaboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama City 230-0045, Japan.
Suguru YoshidaLaboratory of Chemical Bioscience, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, Tokyo 101-0062, Japan.
Isao KiiCommon Facilities Unit, Compass to Healthy Life Research Complex Program, RIKEN Cluster for Science, Technology and Innovation Hub, Kobe 650-0047, Japan.
Shohei EgamiLaboratory for Skin Homeostasis, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama 230-0045, Japan.
Masayuki AmagaiLaboratory for Skin Homeostasis, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama 230-0045, Japan.
Takamitsu HosoyaLaboratory of Chemical Bioscience, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, Tokyo 101-0062, Japan.
Katsuyuki ShiroguchiLaboratory for Prediction of Cell Systems Dynamics, RIKEN Center for Biosystems Dynamics Research (BDR), Osaka 565-0874, Japan.
Osamu OharaLaboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama City 230-0045, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly sensitive protein quantification enables the detection of a small number of protein molecules that serve as markers/triggers for various biological phenomena, such as cancer. Here, we describe the development of a highly sensitive protein quantification system called HaloTag protein barcoding. The method involves covalent linking of a target protein to a unique molecule counting oligonucleotide at a 1:1 conjugation ratio based on an azido-cycloalkyne click reaction. The sensitivity of the HaloTag-based barcoding was remarkably higher than that of a conventional luciferase assay. The HaloTag system was successfully validated by analyzing a set of protein-protein interactions, with the identification rate of 44% protein interactions between positive reference pairs reported in the literature. Desmoglein 3, the target antigen of pemphigus vulgaris, an IgG-mediated autoimmune blistering disease, was used in a HaloTag protein barcode assay to detect the anti-DSG3 antibody. The dynamic range of the assay was over 104-times wider than that of a conventional enzyme-linked immunosorbent assay (ELISA). The technology was used to detect anti-DSG3 antibody in patient samples with much higher sensitivity compared to conventional ELISA. Our detection system, with its superior sensitivity, enables earlier detection of diseases possibly allowing the initiation of care/treatment at an early disease stage.

Indexed as

Antibodies, Anti-IdiotypicAutoimmune DiseasesClick ChemistryCycloparaffinsDesmoglein 3Enzyme-Linked Immunosorbent AssayHumansImmunoglobulin GLuciferasesOligonucleotidesProtein Interaction Domains and MotifsProteinsAntibodies, Anti-IdiotypicCycloparaffinsDesmoglein 3Immunoglobulin GLuciferasesOligonucleotidesProteins

Identifiers

PMID31752022
PMCPMC6954424

What OpenQuestion holds

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LicenceCC BY
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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.