Evidence map›Paper›PMID 17702642›Full record

ReviewCurrent opinion in chemical biology2007

The development of high-throughput screening approaches for stem cell engineering.

Ying Mei, Michael Goldberg, Daniel Anderson

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Microarrayed Materials for Stem Cells.Materials today (Kidlington, England) · 2012
    Article
  6. Review
  7. Multiplexed, high-throughput analysis of 3D microtissue suspensions.Integrative biology : quantitative biosciences from nano to macro · 2010
    Article
  8. Influence of fabrication parameters in cellular microarrays for stem cell studies.Journal of materials science. Materials in medicine · 2009
    Article
  9. 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

3 authors.

Ying MeiDepartment of Chemical Engineering, MIT, 77 Massachusetts Avenue, E25-342, Cambridge, MA 02139, United States. ymei@mit.edu
Michael Goldberg
Daniel Anderson

Funding

CONTROLLED RELEASE OF MACROMOLECULESR01EB000244 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LANGER, ROBERT SAMUEL, TRAVERSO, CARLO GIOVANNI · 2002 to 2021
$6.1M
Controlled Release of MacromoleculesR37EB000244 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LANGER, ROBERT SAMUEL · 2008 to 2017
$3.9M
NIBIB NIH HHS R01 EB000244NIBIB NIH HHS R37 EB000244
6 · The paper itself

Abstract

It has become increasingly clear that both soluble factors, such as growth factors, and insoluble factors, including the surfaces on which cells grow, can have controlling effects on stem cell behavior and differentiation. While much progress has been made in biomaterial design and application, the rational design of biomaterial cues to direct stem cell behavior and differentiation remains challenging. Recent advances in automated, high-throughput methods for synthesizing and screening combinatorial biomaterial libraries and cellular microenvironments promise to accelerate the discovery of factors that control stem cell behavior. Specific examples include miniaturized, automated, combinatorial material synthesis and extracellular matrix screening methods as well microarrayed methods for creating local microenvironments of soluble factors, such as small molecules, siRNA, and other signaling molecules.

Indexed as

AnimalsBiocompatible MaterialsCell SeparationHumansMicroarray AnalysisSolubilityStem CellsBiocompatible Materials

Identifiers

PMID17702642
PMCPMC3017753

What OpenQuestion holds

Textmetadata
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.