Evidence map›Paper›PMID 41823589›Full record

ReviewBiochemical Society transactions2026

Breaking cellular boundaries: molecular mechanisms of tunneling nanotube formation and fusion.

Sevan Belian, Chiara Zurzolo

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Sevan BelianInstitut Pasteur, Université Paris Cité, CNRS UMR3691, Unité de Trafic Membranaire et Pathogénèse, 75015 Paris, France.ORCID 0009-0006-3485-3089
Chiara ZurzoloInstitut Pasteur, Université Paris Cité, CNRS UMR3691, Unité de Trafic Membranaire et Pathogénèse, 75015 Paris, France.ORCID 0000-0001-6048-6602

Funding

Agence Nationale de la Recherche (ANR) ANR-20-CE13-0032Agence Nationale de la Recherche (ANR) ANR-23-CE16-0012-03Fondation pour la Recherche Médicale (FRM) FRM-EQU202103012692
6 · The paper itself

Abstract

Tunneling nanotubes (TNTs) are thin, actin-based membrane bridges that establish direct cytoplasmic continuity between distant cells, enabling the transfer of diverse cargoes ranging from ions and proteins to organelles such as mitochondria. Since their discovery in 2004, TNTs have been identified in numerous cell types and linked to an expanding range of physiological and pathological functions. Yet, their molecular identity and mechanisms of formation remain elusive. The most defining and least understood step in TNT biogenesis is membrane fusion, the process by which TNTs achieve open-ended continuity between cells, and this represents a critical frontier in the field. This review integrates recent advances in TNT biology, emphasizing the interplay between actin cytoskeletal dynamics, plasma membrane composition, and cell adhesion during TNT formation. It also draws mechanistic parallels with established models of membrane fusion, highlighting fundamental principles and shared regulators across fusion systems, many of which have been implicated in TNT functionality. By combining molecular, biophysical, and imaging perspectives, this review proposes a conceptual framework for TNT formation and fusion, identifies major methodological gaps, and outlines future directions to unravel the mechanisms that underlie intercellular cytoplasmic continuity.

Indexed as

Cell MembraneMembrane FusionNanotubesActin CytoskeletonActinsAnimalsCell AdhesionCell CommunicationCell Membrane StructuresHumansActinsTunneling Nanotubesactincell-cell communicationcell homeostasismembrane fusionTunneling nanotubes

Identifiers

PMID41823589
PMCPMC13105407

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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.