Evidence map›Paper›PMID 41851445›Full record

ArticleCommunications biology2026

Degron models: a toolbox for rapid in vivo depletion of essential proteins regulating mRNA metabolism.

Wiktor Antczak, Marcin Szpila, Katarzyna Sałas, Patrycja Daszczuk, Vanessa Linke, Marta Miączyńska, Andrzej Dziembowski, Olga Gewartowska

Abstract read
In one paragraph

Article in Communications biology, 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

8 authors.

Wiktor AntczakLaboratory of RNA Biology, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.ORCID http://orcid.org/0000-0003-0019-3896
Marcin SzpilaGenome Engineering Facility IN-MOL-CELL Infrastructure, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.ORCID http://orcid.org/0000-0001-8484-9762
Katarzyna SałasGenome Engineering Facility IN-MOL-CELL Infrastructure, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.ORCID http://orcid.org/0000-0003-0104-7858
Patrycja DaszczukLaboratory of Cell Biology, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.ORCID http://orcid.org/0000-0001-9165-5800
Vanessa LinkeMass Spectrometry Facility, IN-MOL-CELL Infrastructure, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.ORCID http://orcid.org/0000-0002-1827-577X
Marta MiączyńskaLaboratory of Cell Biology, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.ORCID http://orcid.org/0000-0003-0031-5267
Andrzej DziembowskiLaboratory of RNA Biology, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.ORCID http://orcid.org/0000-0001-8492-7572
Olga GewartowskaGenome Engineering Facility IN-MOL-CELL Infrastructure, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland. ogewartowska@iimcb.gov.pl.ORCID http://orcid.org/0000-0003-2623-0309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to their essentiality, studying proteins involved in fundamental processes in vivo is challenging. PROTAC-based systems offer time-controlled protein depletion, but their characterization in vivo remains limited. Here, with an efficient direct zygote editing protocol, we generate degron-tag models (dTAG/FKBP or BromoTag) for seven genes involved in therapeutic and endogenous mRNA metabolism (Cnot1, Pan2, Tent5a, Tent4b, Dcp2, Rnasel, Tsg101). Degron tags occasionally cause phenotypes that can be mitigated by tag position or tagging system change. In cells, both approaches yield rapid and sustained degradation. In mice, dTAG depletion is effective but varies by protein and administration route, whereas BromoTag shows no in vivo activity. We showcase the utility of these models through an analysis of CNOT1's roles in cell division, immunity, and poly(A) tail maintenance. We present a valuable toolbox for studying mRNA metabolism in mammalian models, while providing a benchmark for applying degron-tag models to study other biological processes.

Indexed as

RNA, MessengerAnimalsDegronsHumansMiceProteolysis Targeting ChimeraProteolysis Targeting ChimeraRNA, Messenger

Identifiers

PMID41851445
PMCPMC13149826

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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.