Evidence map›Paper›PMID 32463365›Full record

ArticleeLife2020

Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors.

A J Venkatakrishnan, Arjun Puranik, Akash Anand, David Zemmour, Xiang Yao, Xiaoying Wu, Ramakrishna Chilaka, Dariusz K Murakowski, Kristopher Standish, Bharathwaj Raghunathan and 8 more

Open access · greenAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
–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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Advancements in the Application of scRNA-Seq in Breast Research: A Review.International journal of molecular sciences · 2024
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Diabetes and SARS-CoV-2-Is There a Mutual Connection?Frontiers in cell and developmental biology · 2022
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021
    Review
  18. Article
  19. Article
  20. Exploring the magic bullets to identify Achilles' heel in SARS-CoV-2: Delving deeper into the sea of possible therapeutic options in Covid-19 disease: An update.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2021
    Review
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

18 authors at 3 institutions in 2 countries.

A J Venkatakrishnannference, Cambridge, United States.ORCID 0000-0003-2819-3214
Arjun Puraniknference, Cambridge, United States.
Akash Anandnference Labs, Bengaluru, India.
David Zemmournference, Cambridge, United States.
Xiang YaoJanssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States.
Xiaoying WuJanssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States.
Ramakrishna Chilakanference Labs, Bengaluru, India.
Dariusz K Murakowskinference, Cambridge, United States.ORCID 0000-0002-9920-4980
Kristopher StandishJanssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States.
Bharathwaj Raghunathannference, Toronto, Canada.
Tyler Wagnernference, Cambridge, United States.
Enrique Garcia-Riveranference, Cambridge, United States.
Hugo Solomonnference, Cambridge, United States.
Abhinav Gargnference Labs, Bengaluru, India.
Rakesh Barvenference Labs, Bengaluru, India.
Anuli Anyanwu-OfiliJanssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States.
Najat KhanJanssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States.
Venky Soundararajannference, Cambridge, United States.ORCID 0000-0001-7434-9211
Nference (United States) · USJohnson & Johnson (United States) · USNference (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic demands assimilation of all biomedical knowledge to decode mechanisms of pathogenesis. Despite the recent renaissance in neural networks, a platform for the real-time synthesis of the exponentially growing biomedical literature and deep omics insights is unavailable. Here, we present the nferX platform for dynamic inference from over 45 quadrillion possible conceptual associations from unstructured text, and triangulation with insights from single-cell RNA-sequencing, bulk RNA-seq and proteomics from diverse tissue types. A hypothesis-free profiling of ACE2 suggests tongue keratinocytes, olfactory epithelial cells, airway club cells and respiratory ciliated cells as potential reservoirs of the SARS-CoV-2 receptor. We find the gut as the putative hotspot of COVID-19, where a maturation correlated transcriptional signature is shared in small intestine enterocytes among coronavirus receptors (ACE2, DPP4, ANPEP). A holistic data science platform triangulating insights from structured and unstructured data holds potential for accelerating the generation of impactful biological insights and hypotheses.

Indexed as

Libraries, MedicalAnimalsBetacoronavirusCoronavirus InfectionsCOVID-19Gene Expression ProfilingHumansKnowledge DiscoveryMicePandemicsPneumonia, ViralReceptors, CoronavirusReceptors, VirusSARS-CoV-2Receptors, CoronavirusReceptors, Virusartificial intelligenceCOVID-19humanhuman biologymachine learningmedicinenatural language processingSARS-CoV-2single cell RNA-seq

Identifiers

PMID32463365
PMCPMC7371427
OpenAlexW3013891844

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.