Evidence map›Paper›PMID 35331378›Full record

ArticleMethods in enzymology2022

Optimized APEX2 peroxidase-mediated proximity labeling in fast- and slow-growing mycobacteria.

Mukshud Ahamed, Neetika Jaisinghani, Michael Li, Ian Winkeler, Shalika Silva, Mary L Previti, Jessica C Seeliger

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Protease shaving ofMicrobiology spectrum · 2025
    Article
  7. Protease shaving ofbioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Review
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

7 authors at 1 institution in 1 country.

Mukshud AhamedDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY, United States.
Neetika JaisinghaniDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY, United States.
Michael LiDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY, United States.
Ian WinkelerDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY, United States.
Shalika SilvaDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY, United States.
Mary L PrevitiDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY, United States.
Jessica C SeeligerDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY, United States. Electronic address: jessica.seeliger@stonybrook.edu.
Stony Brook University · US

Funding

Chemical Biology Training InterfaceT32GM136572 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI ELIZABETH M BOON, Jessica Chuang Seeliger · 2020 to 2026
$2.9M
Untangling the Inner Workings of the Mycobacterial Cell EnvelopeR35GM128552 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI SEELIGER, JESSICA CHUANG · 2018 to 2022
$2.1M
NIGMS NIH HHS R35 GM128552NIGMS NIH HHS T32 GM136572
6 · The paper itself

Abstract

Proximity labeling is a technology for tagging proteins and other biomolecules in living cells. These methods use enzymes that generate reactive species whose properties afford high spatial resolution for the localization of proteins to subcellular compartments and the identification of endogenous interaction partners. Here we present the adaptation of the engineered peroxidase APEX2 to proximity labeling in mycobacteria, including the human pathogen Mycobacterium tuberculosis. APEX2 is uniquely suited for general use in bacteria because unlike other proximity labeling enzymes, it does not depend on metabolites like ATP that are found in the cytoplasm, but are absent from the bacterial periplasm. Importantly, we found that in slow-growing mycobacteria like M. tuberculosis, codon usage optimization is required for APEX2 export into the periplasm via fusion to an N-terminal secretion signal. APEX2 expressed from codon-optimized genes affords robust, compartment-specific protein labeling in the cytoplasm and the periplasm of both fast- and slow-growing species. Here we detail these updated constructs and provide an optimized protocol for APEX2-mediated protein labeling in mycobacteria. We expect this approach to be broadly useful for determining the localization of specific proteins, cataloging subcellular proteomes, and identifying interaction partners of 'bait' proteins expressed as fusions to APEX2.

Indexed as

MycobacteriumPeroxidaseColoring AgentsCytoplasmDNA-(Apurinic or Apyrimidinic Site) LyaseEndonucleasesMultifunctional EnzymesProteomeAPEX2 protein, humanColoring AgentsDNA-(Apurinic or Apyrimidinic Site) LyaseEndonucleasesMultifunctional EnzymesPeroxidaseProteomeAPEX2MycobacteriaPeriplasmPeroxidaseProtein labelingProximity labelingTuberculosis

Identifiers

PMID35331378
PMCPMC11628366
OpenAlexW4220788905

What OpenQuestion holds

Textmetadata
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.