Evidence map›Paper›PMID 34112877›Full record

ArticleScientific reports2021

Transcriptomics-based drug repositioning pipeline identifies therapeutic candidates for COVID-19.

Brian L Le, Gaia Andreoletti, Tomiko Oskotsky, Albert Vallejo-Gracia, Romel Rosales, Katharine Yu, Idit Kosti, Kristoffer E Leon, Daniel G Bunis, Christine Li and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Integrative transcriptome-based drug repurposing in tuberculosis.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Endometriosis in the era of precision medicine and impact on sexual and reproductive health across the lifespan and in diverse populations.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Brian L Le *Department of Pediatrics, UCSF, San Francisco, CA, USA.
Gaia Andreoletti *Department of Pediatrics, UCSF, San Francisco, CA, USA.
Tomiko Oskotsky *Department of Pediatrics, UCSF, San Francisco, CA, USA.
Albert Vallejo-GraciaGladstone Institute of Virology, Gladstone Institutes, San Francisco, CA, USA.
Romel RosalesDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Katharine YuDepartment of Pediatrics, UCSF, San Francisco, CA, USA.
Idit KostiDepartment of Pediatrics, UCSF, San Francisco, CA, USA.
Kristoffer E LeonGladstone Institute of Virology, Gladstone Institutes, San Francisco, CA, USA.
Daniel G BunisDepartment of Pediatrics, UCSF, San Francisco, CA, USA.
Christine LiDepartment of Pediatrics, UCSF, San Francisco, CA, USA.
G Renuka KumarGladstone Institute of Virology, Gladstone Institutes, San Francisco, CA, USA.
Kris M WhiteDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Adolfo García-SastreDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Melanie OttGladstone Institute of Virology, Gladstone Institutes, San Francisco, CA, USA.
Marina SirotaDepartment of Pediatrics, UCSF, San Francisco, CA, USA. marina.sirota@ucsf.edu.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
SARS-CoV adaptations through a Systems Biology Lens (SYBIL)U19AI135972 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Adolfo Garcia-Sastre · 2018 to 2026
$27.2M
MOLECULAR AND CELLULAR IMMUNOLOGYT32AI007334 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CYSTER, JASON G · 1988 to 2023
$11.0M
A new model of accelerated immune aging in HIV-infected drug usersDP1DA038043 · NIDA · J. DAVID GLADSTONE INSTITUTES · PI OTT, MELANIE MARIA · 2014 to 2019
$4.8M
NIAID NIH HHS HHSN272201400008CNIAID NIH HHS T32 AI007334NIAID NIH HHS U19 AI135972NIDA NIH HHS DP1 DA038043NIGMS NIH HHS T32 GM007618NIH HHS 5DP1DA038043
6 · The paper itself

Abstract

The novel SARS-CoV-2 virus emerged in December 2019 and has few effective treatments. We applied a computational drug repositioning pipeline to SARS-CoV-2 differential gene expression signatures derived from publicly available data. We utilized three independent published studies to acquire or generate lists of differentially expressed genes between control and SARS-CoV-2-infected samples. Using a rank-based pattern matching strategy based on the Kolmogorov-Smirnov Statistic, the signatures were queried against drug profiles from Connectivity Map (CMap). We validated 16 of our top predicted hits in live SARS-CoV-2 antiviral assays in either Calu-3 or 293T-ACE2 cells. Validation experiments in human cell lines showed that 11 of the 16 compounds tested to date (including clofazimine, haloperidol and others) had measurable antiviral activity against SARS-CoV-2. These initial results are encouraging as we continue to work towards a further analysis of these predicted drugs as potential therapeutics for the treatment of COVID-19.

Indexed as

COVID-19 Drug TreatmentAntiviral AgentsComputational BiologyCOVID-19Drug RepositioningHumansSARS-CoV-2TranscriptomeAntiviral Agents

Identifiers

PMID34112877
PMCPMC8192542

What OpenQuestion holds

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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.