Evidence map›Paper›PMID 33326086›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

In Vivo Functional Analysis of Nonconserved Human lncRNAs Using a Humanized Mouse Model.

Yonghe Ma, Cheng-Fei Jiang, Ping Li, Haiming Cao

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Yonghe MaCardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Cheng-Fei JiangCardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Ping LiCardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Haiming CaoCardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA. haiming.cao@nih.gov.

Funding

Molecular Basis of Obesity and Obesity-induced Metabolic DiseasesZIAHL006103 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAO, HAIMING · 2011 to 2025
$19.8M
Modeling Type II Diabetes and Lipodystrophy Using Patient-Specific iPS CellsZIAHL006159 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAO, HAIMING · 2012 to 2025
$14.2M
Intramural NIH HHS ZIA HL006103Intramural NIH HHS ZIA HL006159
6 · The paper itself

Abstract

LncRNAs (long noncoding RNAs) are transcripts that are at least 200 nucleotides long and lack any predicted coding potential. Whereas significant progress has been made in deciphering the function of mouse lncRNAs, critical gaps remain in understanding how human lncRNAs exercise their function in a physiological context. As most human lncRNAs are currently considered nonconserved and often do not have homologs in mouse, the technical bottleneck is the lack of a suitable model to study the physiological function. Chimeric mice with repopulated human hepatocytes have emerged as promising tools to study human-specific, liver enriched lncRNAs. Among all liver-specific humanized mouse models, TK-NOG is relatively easy to prepare and holds a higher repopulation rate for a prolonged period of time. In this chapter, we will illustrate how to establish humanized TK-NOG mice for in vivo analysis of human lncRNAs in detail.

Indexed as

AnimalsCells, CulturedDisease Models, AnimalHepatocytesHumansLiverMicePrimary Cell CultureRNA, Long NoncodingSequence Analysis, RNARNA, Long NoncodingHumanized miceLiverlncRNANonconservedRepopulationTK-NOG

Identifiers

PMID33326086

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.