Evidence map›Paper›PMID 21150938›Full record

ArticleGene therapy2011

Liver-specific microRNA-122 target sequences incorporated in AAV vectors efficiently inhibits transgene expression in the liver.

C Qiao, Z Yuan, J Li, B He, H Zheng, C Mayer, J Li, X Xiao

Abstract read
In one paragraph

Article in Gene therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

99 citing papers in PubMed, 154 citations in OpenAlex.

  1. Review
  2. Article
  3. Challenging the more-is-better dogma: A precision-optimized AAV gene therapy for SMA.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Navigating the Hurdles of Intra-Articular AAV Gene Therapy.International journal of molecular sciences · 2025
    Review
  9. Review
  10. Identification of a robust promoter in mouse and human hepatocytes by in vivo biopanning of a barcoded AAV library.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Molecular Engineering of Virus Tropism.International journal of molecular sciences · 2024
    Review
  19. Targeted gene delivery systems for T-cell engineering.Cellular oncology (Dordrecht, Netherlands) · 2024
    Review
  20. Review

39 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

C QiaoDivision of Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. cqiao@email.unc.edu
Z Yuan
J Li
B He
H Zheng
C Mayer
J Li
X Xiao
University of North Carolina at Chapel Hill · US

Funding

AAV VECTORS FOR MUSCULAR DYSTROPHY (LGMD) GENE THERAPYR01AR045967 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI XIAO, XIAO · 1999 to 2008
$2.7M
Myostatin Inhibition in DMD Dogs by Gene TransferR01AR056394 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI XIAO, XIAO · 2009 to 2013
$1.6M
NIAMS NIH HHS AR45967NIAMS NIH HHS AR 56394NIAMS NIH HHS R01 AR045967NIAMS NIH HHS R01 AR056394
6 · The paper itself

Abstract

Vectors based on adeno-associated virus (AAV) are effective in gene delivery in vivo. Tissue-specific gene expression is often needed to minimize ectopic expression in unintended cells and undesirable consequences. Here, we investigated whether incorporation of target sequences of tissue-specific microRNA (miRNA) into AAV vectors could inhibit ectopic expression in tissues such as the liver and hematopoietic cells. First we inserted liver-specific miR-122 target sequences (miR-122T) into the 3'-untranslated region (UTR) of a number of AAV vectors. After intravenous delivery in mice, we found that five copies of the 20mer miR-122T reduced liver expression of luciferase by 50-fold and β-galactosidase (LacZ) by 70-fold. Five copies of miR-122T also reduced mRNA levels of a secretable protein (myostatin propeptide) from the AAV vector plasmid by 23-fold in the liver. However, gene expression in other tissues, including the heart was not inhibited. Similarly, we inserted four copies of miR-142-3pT or miR-142-5pT, both hematopoietic lineage-specific, into the 3'-UTR of the AAV-luciferase vector. We wished to see whether they could prolong transgene expression by inhibiting expression in antigen-presenting cells. However, in vivo luciferase gene expression in major tissues declined with time, regardless of the miR-142 target sequences used. Quantitative analysis of the vector DNA in various tissues revealed that the decline of transgene expression in vivo was mainly because of promoter shut-off other than loss of AAV-transduced cells by immune destruction. Moreover, transgene expression was not detected in circulating mononuclear cells after delivering AAV9 vector with or without miR142T. These results demonstrate that liver-specific miR-122 target sequence in AAV vectors was highly efficient in reducing liver expression, whereas hematopoietic miR-142 target sequences were ineffective in preventing decline of AAV vector gene expression in nonhematopoietic tissues resulted from promoter shut-off.

Indexed as

Genetic VectorsGene Transfer TechniquesAnimalsAntigen-Presenting Cellsbeta-GalactosidaseDependovirusGene Expression RegulationLiverLuciferasesMiceMicroRNAsMyostatinOrgan SpecificityTransgenesbeta-GalactosidaseLuciferasesMicroRNAsMIRN122 microRNA, humanMirn142 microRNA, mouseMstn protein, mouseMyostatin

Identifiers

PMID21150938
PMCPMC3686499
OpenAlexW2086500311

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

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.