ArticleMolecular therapy oncolytics2016
Tunneling nanotubes: an alternate route for propagation of the bystander effect following oncolytic viral infection.
Article in Molecular therapy oncolytics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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.
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.
Who cites it
30 citing papers in PubMed, 46 citations in OpenAlex.
- Tunneling nanotubes: a new dimension of intercellular communication and recent progress.Cell communication and signaling : CCS · 2026Review
- Induction of tunnelling nanotube-like structures by influenza A viruses requires the onset of apoptosis.PLoS pathogens · 2025Article
- Invisible Bridges: Unveiling the Role and Prospects of Tunneling Nanotubes in Cancer Therapy.Molecular pharmaceutics · 2024Review
- Tunneling Nanotubes: Implications for Chemoresistance.Results and problems in cell differentiation · 2024Review
- Mechanisms of Intracellular Communication in Cancer and Pathogen Spreading.Results and problems in cell differentiation · 2024Review
- Article
- The role of tunneling nanotubes during early stages of HIV infection and reactivation: implications in HIV cure.NeuroImmune pharmacology and therapeutics · 2023Review
- Article
- TNTdetect.AI: A Deep Learning Model for Automated Detection and Counting of Tunneling Nanotubes in Microscopy Images.Cancers · 2022Article
- Specialized Intercellular Communications via Tunnelling Nanotubes in Acute and Chronic Leukemia.Cancers · 2022Review
- Secretome and Tunneling Nanotubes: A Multilevel Network for Long Range Intercellular Communication between Endothelial Cells and Distant Cells.International journal of molecular sciences · 2021Review
- Peering into tunneling nanotubes-The path forward.The EMBO journal · 2021Review
- Investigating tunneling nanotubes in ovarian cancer based on two-photon excitation FLIM-FRET.Biomedical optics express · 2021Article
- Tunneling Nanotubes and Tumor Microtubes in Cancer.Cancers · 2020Review
- Bridging the Gap: Virus Long-Distance Spread via Tunneling Nanotubes.Journal of virology · 2020Review
- HSV-TK Expressing Mesenchymal Stem Cells Exert Inhibitory Effect on Cervical Cancer Model.International journal of molecular and cellular medicine · 2020Article
- Review
- Perspectives of cellular communication through tunneling nanotubes in cancer cells and the connection to radiation effects.Radiation oncology (London, England) · 2019Review
- Review of Emerging Japanese Encephalitis Virus: New Aspects and Concepts about Entry into the Brain and Inter-Cellular Spreading.Pathogens (Basel, Switzerland) · 2019Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Tunneling nanotubes (TNTs) are ultrafine, filamentous actin-based cytoplasmic extensions which form spontaneously to connect cells at short and long-range distances. We have previously described long-range intercellular communication via TNTs connecting mesothelioma cells
Identifiers
What OpenQuestion holds
Registered trials
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.