Evidence map›Paper›PMID 42657025›Full record

ArticleBiochemistry and biophysics reports2026

Exploring the sex-dependent effects of midnolin loss on hepatic transcription and chromatin accessibility.

Lakshmi Sudeepthi Nissankararao, Gayeoun Kim, Soo-Mi Kweon, Vaisnavii Mohanraj, Damien Parrello, N Sreekar, Sheng-Wei Chang, Walter Tsark, Keane Lai, Motoki Takaku

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 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

10 authors.

Lakshmi Sudeepthi NissankararaoDepartment of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, 58202, USA.
Gayeoun KimDepartment of Pathology, University of Southern California, Los Angeles, CA, 90089, USA.
Soo-Mi KweonDepartment of Pathology, University of Southern California, Los Angeles, CA, 90089, USA.
Vaisnavii MohanrajDepartment of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, 58202, USA.
Damien ParrelloDepartment of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, 58202, USA.
N SreekarDepartment of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, 58202, USA.
Sheng-Wei ChangDepartment of Molecular Medicine, Beckman Research Institute, City of Hope, Duarte, CA, 91010, USA.
Walter TsarkCenter for Comparative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, 91010, USA.
Keane LaiDepartment of Pathology, University of Southern California, Los Angeles, CA, 90089, USA.
Motoki TakakuDepartment of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, 58202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Midnolin (Midn) is a ubiquitin-like domain-containing nuclear protein that interacts with the proteasome and mediates ubiquitin-independent degradation of transcription factors. Although Midn has been implicated in pancreatic β-cell metabolism, immune regulation, and hepatocellular carcinoma (HCC) progression, its physiological role in normal liver remains poorly defined. To investigate Midn function in vivo, we generated a liver-specific Midn e

Indexed as

ATAC sequencingChromatin accessibilityGene regulationHepatocyte metabolismRNA sequencingSex differencesUbiquitin-independent protein degradation

Identifiers

PMID42657025
PMCPMC13507809

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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.