Evidence map›Paper›PMID 28931805›Full record

ArticleNature communications2017

Identifying therapeutic targets by combining transcriptional data with ordinal clinical measurements.

Leila Pirhaji, Pamela Milani, Simona Dalin, Brook T Wassie, Denise E Dunn, Robert J Fenster, Julian Avila-Pacheco, Paul Greengard, Clary B Clish, Myriam Heiman and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. A Rationale for Hypoxic and Chemical Conditioning in Huntington's Disease.International journal of molecular sciences · 2021
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Turning omics data into therapeutic insights.Current opinion in pharmacology · 2018
    Review
  19. Review
  20. Frontiers in neuroscience · 2017
    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

12 authors at 6 institutions in 1 country.

Leila PirhajiDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139, USA.
Pamela MilaniDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139, USA.
Simona DalinDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139, USA.ORCID http://orcid.org/0000-0001-5024-9718
Brook T WassieDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139, USA.
Denise E DunnCenter for Drug Discovery, Department of Neurobiology, Duke University Medical Center, 303 Research Drive, Durham, North Carolina, 27710, USA.
Robert J FensterPicower Institute for Learning and Memory, 43 Vassar St, Cambridge, Massachusetts, 02139, USA.
Julian Avila-PachecoBroad Institute, 415 Main St, Cambridge, Massachusetts, 02142, USA.
Paul GreengardLaboratory of Cellular and Molecular Neuroscience, The Rockefeller University, 1230 York Ave, New York, New York, 10065, USA.
Clary B ClishBroad Institute, 415 Main St, Cambridge, Massachusetts, 02142, USA.ORCID http://orcid.org/0000-0001-8259-9245
Myriam HeimanPicower Institute for Learning and Memory, 43 Vassar St, Cambridge, Massachusetts, 02139, USA.
Donald C LoCenter for Drug Discovery, Department of Neurobiology, Duke University Medical Center, 303 Research Drive, Durham, North Carolina, 27710, USA.
Ernest FraenkelDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139, USA. fraenkel-admin@mit.edu.ORCID http://orcid.org/0000-0001-9249-8181
Massachusetts Institute of Technology · USBroad Institute · USDuke University · USMcGovern Institute for Brain Research · USMcLean Hospital · USRockefeller University · US

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LEVINE, STUART S · 1985 to 2020
$25.6M
Epigenetic Pathology and Therapy in Huntington's DiseaseR01NS089076 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FRAENKEL, ERNEST, HOUSMAN, DAVID · 2015 to 2024
$4.9M
A Systems Biology Approach to Reveal Huntington's Disease MechanismsR01GM089903 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FRAENKEL, ERNEST · 2010 to 2014
$2.4M
NIH HHS R24 090963
6 · The paper itself

Abstract

The immense and growing repositories of transcriptional data may contain critical insights for developing new therapies. Current approaches to mining these data largely rely on binary classifications of disease vs. control, and are not able to incorporate measures of disease severity. We report an analytical approach to integrate ordinal clinical information with transcriptomics. We apply this method to public data for a large cohort of Huntington's disease patients and controls, identifying and prioritizing phenotype-associated genes. We verify the role of a high-ranked gene in dysregulation of sphingolipid metabolism in the disease and demonstrate that inhibiting the enzyme, sphingosine-1-phosphate lyase 1 (SPL), has neuroprotective effects in Huntington's disease models. Finally, we show that one consequence of inhibiting SPL is intracellular inhibition of histone deacetylases, thus linking our observations in sphingolipid metabolism to a well-characterized Huntington's disease pathway. Our approach is easily applied to any data with ordinal clinical measurements, and may deepen our understanding of disease processes.Identifying gene subsets affecting disease phenotypes from transcriptome data is challenge. Here, the authors develop a method that combines transcriptional data with disease ordinal clinical measurements to discover a sphingolipid metabolism regulator involving in Huntington's disease progression.

Indexed as

Aldehyde-LyasesAnimalsCase-Control StudiesCohort StudiesHumansHuntington DiseaseMaleMiceNeostriatumNeural Stem CellsPhenotypeAldehyde-LyasesSGPL1 protein, humansphingosine 1-phosphate lyase (aldolase)

Identifiers

PMID28931805
PMCPMC5606996
OpenAlexW2754312100

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.