Evidence map›Paper›PMID 25449658›Full record

ReviewDrug discovery today2015

Databases and collaboration require standards for human stem cell research.

Nadia K Litterman, Sean Ekins

Abstract readReview
In one paragraph

Review in Drug discovery today, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research.Stem cells and cloning : advances and applications · 2020
    Review
  3. Article
  4. Article
  5. 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

2 authors.

Nadia K LittermanCollaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94010, USA.
Sean EkinsCollaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94010, USA; Collaborations in Chemistry, 5616 Hilltop Needmore Road, Fuquay Varina, NC 27526, USA. Electronic address: ekinssean@yahoo.com.

Funding

Identification of novel therapeutics for tuberculosis combining cheminformatics,R42AI088893 · NIAID · COLLABORATIVE DRUG DISCOVERY, INC. · PI EKINS, SEAN · 2012 to 2013
$997k
Biocomputation across distributed private datasets to enhance drug discoveryR43LM011152 · NLM · COLLABORATIVE DRUG DISCOVERY, INC. · PI BUNIN, BARRY A · 2011 to 2011
$150k
Identification of novel therapeutics for tuberculosis combining cheminformatics,R41AI088893 · NIAID · COLLABORATIVE DRUG DISCOVERY, INC. · PI EKINS, SEAN · 2010 to 2010
$149k
NIAID NIH HHS 2R42AI088893-02NIAID NIH HHS R41 AI088893NIAID NIH HHS R42 AI088893NLM NIH HHS R43 LM011152NLM NIH HHS R43 LM011152-01
6 · The paper itself

Abstract

Stem cell research is at an important juncture: despite significant potential for human health and several countries with key initiatives to expedite commercialization, there are gaps in capturing and exploiting the results of past and current research. Here, we propose a concerted plan that could be taken to foster a more collaborative approach and ensure that all research efforts can be leveraged across the community. The creation of a definitive centralized database repository, or at least harmonized data repositories, for stem cell groups in academia and industry, enabling secure selective sharing of data when needed, could provide the core structure that is sought globally and protect intellectual property. The development of minimum information about stem cell experiments (MIASCE) could be key to this development.

Indexed as

Stem Cell ResearchAnimalsCooperative BehaviorDatabases, FactualHumansReference Standards

Identifiers

PMID25449658
PMCPMC8576746

What OpenQuestion holds

Textmetadata
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.