Evidence map›Paper›PMID 37930535›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Protein-Protein Interactions: Co-immunoprecipitation.

Jer-Sheng Lin, Jemal Ali, Erh-Min Lai

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Thorase deficiency causes both Aβ accumulation and tau hyperphosphorylation in mouse brain.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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.

Jer-Sheng LinInstitute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.
Jemal AliInstitute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.
Erh-Min LaiInstitute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan. emlai@gate.sinica.edu.tw.
Institute of Plant and Microbial Biology, Academia Sinica · TWNational Taipei University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins often do not function as single substances but rather as team players in a dynamic network. Growing evidences show that protein-protein interactions are crucial in many biological processes in living cells. Genetic (such as yeast two hybrid, Y2H) and biochemical (such as co-immunoprecipitation, co-IP) methods are the commonly used methods to identify the interacting proteins. Immunoprecipitation (IP), a method using a target protein-specific antibody in conjunction with Protein A/G affinity beads, is a powerful tool to identify the molecules interacting with specific proteins. Therefore, co-IP is considered to be one of the standard methods to identify and/or confirm the occurrence of the protein-protein interaction events in vivo. The co-IP experiments can identify proteins via direct or indirect interactions or in a protein complex. Here, we use two different co-Ip protocols as an example to describe the principle, procedure, and experimental problems of co-IP. First, we show the interaction of two Agrobacterium type VI secretion system (T6SS) sheath components TssB and TssC

Indexed as

AgrobacteriumAntibodiesEpitopesForeskinHumansImmunoprecipitationMaleSaccharomyces cerevisiaeAntibodiesEpitopesCo-immunoprecipitation (co-IP)ImmobilizationImmunoprecipitation (IP)Physical interactionProtein A/G SepharoseProtein–protein interaction

Identifiers

PMID37930535
OpenAlexW4388422655

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.