Evidence map›Paper›PMID 34562239›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Evaluating Hedgehog Acyltransferase Activity and Inhibition Using the Acylation-coupled Lipophilic Induction of Polarization (Acyl-cLIP) Assay.

Sebastian A Andrei, Edward W Tate, Thomas Lanyon-Hogg

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

3 authors at 2 institutions in 1 country.

Sebastian A AndreiDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London, UK.
Edward W TateDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London, UK. e.tate@imperial.ac.uk.
Thomas Lanyon-HoggDepartment of Pharmacology, University of Oxford, Oxford, UK. thomas.lanyon-hogg@pharm.ox.ac.uk.
Imperial College London · GBUniversity of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council BB/T01508X/1Cancer Research UK C29637/A20183Cancer Research UK C29637/A21451Cancer Research UK C6433/A16402Medical Research Council MC_PC_16046Wellcome Trust 204834/Z/16/Z
6 · The paper itself

Abstract

Palmitoylation of the Hedgehog family of proteins is a critical step in the Hedgehog signaling pathway and is performed by the membrane-bound O-acyltransferase enzyme Hedgehog acyltransferase (HHAT). Measurement of HHAT activity has traditionally relied on radiolabeled fatty acid substrates, which imposes considerable constraints on throughput, cost, and safety, consequently hindering the efficient identification and development of small-molecule HHAT inhibitors. The Acylation-coupled Lipophilic Induction of Polarisation (Acyl-cLIP) assay was recently developed in our lab as a novel platform to evaluate lipidation of peptides in real time and high throughput. In this chapter, we describe the isolation of active HHAT from HEK293a cells and application of the Acyl-cLIP assay to characterize HHAT inhibitors. Our methodology uses standard chemical biology lab equipment and yields high-quality kinetic data from minimal sample volumes. The assay uses standard 384-well plates and is easily adapted to medium- or high-throughput screening formats.

Indexed as

AcylationAcyltransferasesHedgehog ProteinsLipoylationSurgical InstrumentsAcyltransferasesHedgehog ProteinsBiochemical assayDrug discoveryHedgehog acyltransferasePalmitoylation

Identifiers

PMID34562239
OpenAlexW3199568178

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.