Evidence map›Paper›PMID 41219345›Full record

ArticleScientific reports2025

Long-read sequencing disentangles isoform complexity at allele-specific loci.

Lison Lemoine, Sarah Hoelzl, Tim P Hasenbein, Elisabeth Graf, Daniel Andergassen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lison LemoineInstitute of Pharmacology and Toxicology, Technical University of Munich, Munich, Germany.
Sarah HoelzlInstitute of Pharmacology and Toxicology, Technical University of Munich, Munich, Germany.
Tim P HasenbeinInstitute of Pharmacology and Toxicology, Technical University of Munich, Munich, Germany.
Elisabeth GrafInstitute of Human Genetics, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.
Daniel AndergassenInstitute of Pharmacology and Toxicology, Technical University of Munich, Munich, Germany. daniel.andergassen@tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, long-read sequencing technologies have detected transcript isoforms with unprecedented accuracy and resolution. However, it remains unclear whether long-read sequencing can effectively disentangle the isoform landscape of complex allele-specific loci that arise from genetic or epigenetic differences between alleles. Here, we combine the PacBio Iso-Seq workflow with the established phasing approach WhatsHap to assign long reads to the corresponding allele in polymorphic F1 mouse hybrids. Upon comparing the long-read sequencing results with matched short reads, we observed general consistency in the allele-specific information and were able to confirm the imprinting status of known imprinted genes. We then explored the complex imprinted Gnas locus known for allele-specific non-coding and coding isoforms and were able to benchmark historical observations. This approach also allowed us to detect isoforms from both the active and inactive X chromosomes of genes that escape X chromosome inactivation. The described workflow offers a promising framework and demonstrates the power of long-read transcriptomic data to provide mechanistic insight into complex allele-specific loci.

Indexed as

AllelesGenetic LociAnimalsGenomic ImprintingHigh-Throughput Nucleotide SequencingMiceProtein IsoformsX Chromosome InactivationProtein Isoforms

Identifiers

PMID41219345
PMCPMC12606347

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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.