Evidence map›Paper›PMID 38959414›Full record

ArticleJournal of proteome research2024

Comparing the BAD Protein Interactomes in 2D and 3D Cell Culture Using Proximity Labeling.

Leila Pirayeshfard, Shu Luo, John Maringa Githaka, Arashdeep Saini, Nicolas Touret, Ing Swie Goping, Olivier Julien

Abstract readComparative Study
In one paragraph

Article in Journal of proteome research, 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mapping of the hSOX10 protein interactome in human melanoma.bioRxiv : the preprint server for biology · 2025
    Article
  5. 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

7 authors.

Leila PirayeshfardDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.ORCID 0000-0001-6090-4325
Shu LuoDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.ORCID 0000-0002-6379-0308
John Maringa GithakaDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.ORCID 0000-0003-1974-0415
Arashdeep SainiDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.
Nicolas TouretDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.
Ing Swie GopingDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.ORCID 0000-0001-6355-827X
Olivier JulienDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.ORCID 0000-0001-7068-7299

Funding

CIHR
6 · The paper itself

Abstract

Protein-protein interaction studies using proximity labeling techniques, such as biotin ligase-based BioID, have become integral in understanding cellular processes. Most studies utilize conventional 2D cell culture systems, potentially missing important differences in protein behavior found in 3D tissues. In this study, we investigated the protein-protein interactions of a protein, Bcl-2 Agonist of cell death (BAD), and compared conventional 2D culture conditions to a 3D system, wherein cells were embedded within a 3D extracellular matrix (ECM) mimic. Using BAD fused to the engineered biotin ligase miniTurbo (BirA*), we identified both overlapping and distinct BAD interactomes under 2D and 3D conditions. The known BAD binding proteins 14-3-3 isoforms and Bcl-XL interacted with BAD in both 2D and 3D. Of the 131 BAD-interactors identified, 56% were specific to 2D, 14% were specific to 3D, and 30% were common to both conditions. Interaction network analysis demonstrated differential associations between 2D and 3D interactomes, emphasizing the impact of the culture conditions on protein interactions. The 2D-3D overlap interactome encapsulated the apoptotic program, which is a well-known role of BAD. The 3D unique pathways were enriched in ECM signaling, suggestive of hitherto unknown functions for BAD. Thus, exploring protein-protein interactions in 3D provides novel clues into cell behavior. This exciting approach has the potential to bridge the knowledge gap between tractable 2D cell culture and organoid-like 3D systems.

Indexed as

bcl-Associated Death ProteinCell Culture Techniques14-3-3 Proteinsbcl-X ProteinCarbon-Nitrogen LigasesEscherichia coli ProteinsExtracellular MatrixHumansProtein BindingProtein Interaction MappingProtein Interaction MapsRepressor Proteins14-3-3 ProteinsBAD protein, humanbcl-Associated Death Proteinbcl-X ProteinbirA protein, E coliCarbon-Nitrogen LigasesEscherichia coli ProteinsRepressor ProteinsapoptosisBioIDbiotinbreast cancermass spectrometryminiTurbomitochondriaprotein−protein interactionsproteomicsTurboID

Identifiers

PMID38959414
PMCPMC11302415

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.