Evidence map›Paper›PMID 23045634›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Cellular complexity captured in durable silica biocomposites.

Bryan Kaehr, Jason L Townson, Robin M Kalinich, Yasmine H Awad, B S Swartzentruber, Darren R Dunphy, C Jeffrey Brinker

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  5. Article
  6. Deep silicification-assisted long-term preservation of structural and genomic information across biospecies: From micro to macro.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  7. Article
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  11. Article
  12. Article
  13. Article
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  15. Review
  16. Article
  17. Review
  18. Article
  19. Artificial cells: from basic science to applications.Materials today (Kidlington, England) · 2016
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Bryan KaehrAdvanced Materials Laboratory, Sandia National Laboratories, Albuquerque, NM 87106, USA. bjkaehr@sandia.gov
Jason L Townson
Robin M Kalinich
Yasmine H Awad
B S Swartzentruber
Darren R Dunphy
C Jeffrey Brinker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue-derived cultured cells exhibit a remarkable range of morphological features in vitro, depending on phenotypic expression and environmental interactions. Translation of these cellular architectures into inorganic materials would provide routes to generate hierarchical nanomaterials with stabilized structures and functions. Here, we describe the fabrication of cell/silica composites (CSCs) and their conversion to silica replicas using mammalian cells as scaffolds to direct complex structure formation. Under mildly acidic solution conditions, silica deposition is restricted to the molecularly crowded cellular template. Inter- and intracellular heterogeneity from the nano- to macroscale is captured and dimensionally preserved in CSCs following drying and subjection to extreme temperatures allowing, for instance, size and shape preserving pyrolysis of cellular architectures to form conductive carbon replicas. The structural and behavioral malleability of the starting material (cultured cells) provides opportunities to develop robust and economical biocomposites with programmed structures and functions.

Indexed as

Silicon DioxideTissue ScaffoldsCells, CulturedMicroscopy, Electron, TransmissionSilicon Dioxide

Identifiers

PMID23045634
PMCPMC3491527

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.