Evidence map›Paper›PMID 38722806›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

A journey to your self: The vague definition of immune self and its practical implications.

Balázs Koncz, Gergő Mihály Balogh, Máté Manczinger

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. A journey to your self: The vague definition of immune self and its practical implications.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

3 authors.

Balázs KonczSynthetic and Systems Biology Unit, Institute of Biochemistry, Hungarian Research Network (HUN-REN) Biological Research Centre, Szeged 6726, Hungary.ORCID 0000-0001-9954-1955
Gergő Mihály BaloghSynthetic and Systems Biology Unit, Institute of Biochemistry, Hungarian Research Network (HUN-REN) Biological Research Centre, Szeged 6726, Hungary.ORCID 0000-0001-7583-4980
Máté ManczingerSynthetic and Systems Biology Unit, Institute of Biochemistry, Hungarian Research Network (HUN-REN) Biological Research Centre, Szeged 6726, Hungary.ORCID 0000-0003-0831-9617

Funding

EC | HORIZON EUROPE Framework Programme (Horizon Europe) 101136582EC | HORIZON EUROPE Framework Programme (Horizon Europe) 739593National Research, Development and Innovation Office FK-142312National Research, Development and Innovation Office PD-146654
6 · The paper itself

Abstract

The identification of immunogenic peptides has become essential in an increasing number of fields in immunology, ranging from tumor immunotherapy to vaccine development. The nature of the adaptive immune response is shaped by the similarity between foreign and self-protein sequences, a concept extensively applied in numerous studies. Can we precisely define the degree of similarity to self? Furthermore, do we accurately define immune self? In the current work, we aim to unravel the conceptual and mechanistic vagueness hindering the assessment of self-similarity. Accordingly, we demonstrate the remarkably low consistency among commonly employed measures and highlight potential avenues for future research.

Indexed as

PeptidesAdaptive ImmunityAnimalsAutoantigensHumansImmunotherapyAutoantigensPeptidesimmune selfimmunogenicityinfectious diseasesneoantigenT cell repertoire

Identifiers

PMID38722806
PMCPMC11161755

What OpenQuestion 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 OpenQuestion graph.