Article in International journal of molecular sciences, 2025. 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.
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
17 authors.
Dmitrii AtiakshinResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia.ORCID 0000-0002-8347-4556
Grigory DemyashkinNational Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Koroleva St. 4, 249036 Obninsk, Russia.ORCID 0000-0001-8447-2600
Kirill SilakovResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia.ORCID 0009-0000-2073-3699
Aleksandra PrikhodkoResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia.ORCID 0009-0004-8127-7251
Vladimir ShchekinResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia.ORCID 0000-0003-3763-7454
Alexander AlekhnovichResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia.
Lyudmila GrivtsovaNational Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Koroleva St. 4, 249036 Obninsk, Russia.
Demyan DavydovColumbia University, 116th and Broadway, New York, NY 10027, USA.ORCID 0000-0002-6966-5962
Ilya KlabukovNational Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Koroleva St. 4, 249036 Obninsk, Russia.ORCID 0000-0002-2888-7999
Denis BaranovskiiNational Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Koroleva St. 4, 249036 Obninsk, Russia.ORCID 0000-0002-6154-9959
Sergei IvanovNational Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Koroleva St. 4, 249036 Obninsk, Russia.
Daniel Elieh-Ali-KomiInstitute of Allergology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, 10117 Berlin, Germany.ORCID 0000-0003-0546-5280
Igor BuchwalowResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia.ORCID 0000-0003-1142-7483
Markus TiemannInstitute for Hematopathology, Fangdieckstr. 75a, 22547 Hamburg, Germany.ORCID 0000-0003-4060-8355
Andrey KostinResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia.
Petr ShegayNational Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Koroleva St. 4, 249036 Obninsk, Russia.
Andrey KaprinNational Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Koroleva St. 4, 249036 Obninsk, Russia.
Funding
Ministry of Science and Higher Education of the Russian Federation FSSF-2023-0046
6 · The paper itself
Abstract
Cutaneous melanoma remains one of the most aggressive tumors, yet the role innate immunity plays in its progression remains poorly understood. Effector elements with high regulatory potential, capable of both promoting and inhibiting tumor growth-mast cells (MCs), are of particular interest. This includes quantitatively characterizing the interactions between tryptase-positive mast cells (MCs) with atypical Melanin-A
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.
Interactions Between Tryptase-Positive Mast Cells and Melanin-A · full record | Socratic