Evidence map›Paper›PMID 42631273›Full record

ArticleNatural sciences (Weinheim, Germany)2026

Discontinuous genomic coding and paradigm shifts in molecular biology and immunology: revolutions via "normal science".

Ellen V Rothenberg

Abstract read
In one paragraph

Article in Natural sciences (Weinheim, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Ellen V RothenbergDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-3901-347X

Funding

System dynamics and gene network architecture of early T-cell developmentR01HD100039 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ELLEN V. ROTHENBERG · 2019 to 2026
$4.1M
Lmo2-Lyl1 and the bHLH factor network in pro-T cellsR01AI151704 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2021 to 2025
$3.0M
PROBING CONTROL OF DEVELOPMENTAL EPIGENETIC CHANGE USING RUNX FACTORSR37AI178114 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ELLEN V. ROTHENBERG · 2024 to 2026
$2.3M
Homeobox protein Hhex in early T cell developmentR21AI191126 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ELLEN V. ROTHENBERG · 2025 to 2026
$461k
NIAID NIH HHS R01 AI151704NIAID NIH HHS R21 AI191126NIAID NIH HHS R37 AI178114NICHD NIH HHS R01 HD100039
6 · The paper itself

Abstract

The past 60 years have seen explosive changes in the fields of molecular biology and immunology which now affect clinical medicine as well as our knowledge of living systems. The succession of new discoveries and their transforming effects on intellectual paradigms in biology represent an interesting case to compare with Kuhn's dichotomy between "normal science" and "revolutionary science". Here, three conceptually disruptive discoveries are discussed: (1) the discovery and significance of messenger RNA (mRNA) splicing; (2) the discovery and significance of immunoglobulin gene somatic rearrangement; and (3) the discovery that mutational breaking and joining of DNA in immune cells is so evolutionarily important that this systemic function is conserved even when the particular molecules involved are dispensable. Despite their shocking nature for the paradigms of the time, all three discoveries emerged from normal science.

Indexed as

discontinuous genomic codingevolutionary conservationimmunoglobulin gene rearrangementlamprey immune receptor genesmolecular biology technologyparadigm shiftRNA splicing

Identifiers

PMID42631273
PMCPMC13496272

What OpenQuestion holds

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Registered trials

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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.