Evidence map›Paper›PMID 23792952›Full record

ArticleGenetics2013

UP-TORR: online tool for accurate and Up-to-Date annotation of RNAi Reagents.

Yanhui Hu, Charles Roesel, Ian Flockhart, Lizabeth Perkins, Norbert Perrimon, Stephanie E Mohr

Abstract read
In one paragraph

Article in Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. DIOPT: the DRSC Integrative Ortholog Prediction Tool, 2026 update.bioRxiv : the preprint server for biology · 2026
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  4. Investigating oncoprotein-mediated chromatin dysregulation inbioRxiv : the preprint server for biology · 2025
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  10. The NFκBbioRxiv : the preprint server for biology · 2023
    Article
  11. Article
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  14. Article
  15. Article
  16. Article
  17. Expression ofCells · 2021
    Article
  18. Article
  19. Article
  20. Sec71 separates Golgi stacks inJournal of cell science · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yanhui HuDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115.
Charles Roesel
Ian Flockhart
Lizabeth Perkins
Norbert Perrimon
Stephanie E Mohr

Funding

New collections of dsRNAs and overexpression miRNA constructs to supplement RNAiR01GM067761 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI PERRIMON, NORBERT · 2003 to 2019
$15.5M
Drosophila Transgenic RNAi Resource ProjectR01GM084947 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2008 to 2019
$9.8M
Development of Validated Drosophila in vivo RNAi Models of Human DiseasesR24OD011176 · OD · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2012 to 2014
$1.5M
Development of Validated Drosophila in vivo RNAi Models of Human DiseasesR24RR032668 · NCRR · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2011 to 2011
$440k
Howard Hughes Medical InstituteNCRR NIH HHS R24 RR032668NIGMS NIH HHS GM084947NIGMS NIH HHS R01 GM067761NIGMS NIH HHS R01 GM084947NIH HHS R24 OD011176
6 · The paper itself

Abstract

RNA interference (RNAi) is a widely adopted tool for loss-of-function studies but RNAi results only have biological relevance if the reagents are appropriately mapped to genes. Several groups have designed and generated RNAi reagent libraries for studies in cells or in vivo for Drosophila and other species. At first glance, matching RNAi reagents to genes appears to be a simple problem, as each reagent is typically designed to target a single gene. In practice, however, the reagent-gene relationship is complex. Although the sequences of oligonucleotides used to generate most types of RNAi reagents are static, the reference genome and gene annotations are regularly updated. Thus, at the time a researcher chooses an RNAi reagent or analyzes RNAi data, the most current interpretation of the RNAi reagent-gene relationship, as well as related information regarding specificity (e.g., predicted off-target effects), can be different from the original interpretation. Here, we describe a set of strategies and an accompanying online tool, UP-TORR (for Updated Targets of RNAi Reagents; www.flyrnai.org/up-torr), useful for accurate and up-to-date annotation of cell-based and in vivo RNAi reagents. Importantly, UP-TORR automatically synchronizes with gene annotations daily, retrieving the most current information available, and for Drosophila, also synchronizes with the major reagent collections. Thus, UP-TORR allows users to choose the most appropriate RNAi reagents at the onset of a study, as well as to perform the most appropriate analyses of results of RNAi-based studies.

Indexed as

RNA InterferenceSoftwareAnimalsDrosophilaIndicators and ReagentsInternetMolecular Sequence AnnotationRNA, Small InterferingIndicators and ReagentsRNA, Small InterferingannotationDrosophilagenomeRNAi

Identifiers

PMID23792952
PMCPMC3761311

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.