Evidence map›Paper›PMID 23892986›Full record

ArticleNature nanotechnology2013

Autonomous molecular cascades for evaluation of cell surfaces.

Maria Rudchenko, Steven Taylor, Payal Pallavi, Alesia Dechkovskaia, Safana Khan, Vincent P Butler, Sergei Rudchenko, Milan N Stojanovic

Abstract read
In one paragraph

Article in Nature nanotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. PhotocleavableChemical reviews · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. A localized molecular automaton forChemical science · 2020
    Article
  17. Article
  18. Review
  19. Effective design principles for leakless strand displacement systems.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Maria RudchenkoResearch Division, Hospital for Special Surgery, 535E 70th Street, New York 10021, New York, USA.
Steven Taylor
Payal Pallavi
Alesia Dechkovskaia
Safana Khan
Vincent P Butler
Sergei Rudchenko
Milan N Stojanovic

Funding

Theranostic Nano-objects: Basic Principles and Initial ApplicationsR01GM104960 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STOJANOVIC, MILAN N, YAN, HAO · 2012 to 2016
$5.4M
Theranostic Molecular Automata for Specific Cell EliminationRC2CA147925 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STOJANOVIC, MILAN N · 2009 to 2010
$1.8M
Therapeutic Self-Assembly of Recognition Elements on Cell SurfacesR21CA128452 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STOJANOVIC, MILAN N · 2007 to 2009
$510k
Isolation of narrow subpopulations of cells using molecular computing cascadesR21EB014477 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STOJANOVIC, MILAN N · 2012 to 2013
$463k
NCI NIH HHS R21 CA128452NCI NIH HHS R21CA128452NCI NIH HHS RC2 CA147925NCI NIH HHS RC2CA147925NIBIB NIH HHS R21 EB014477NIBIB NIH HHS R21EB014477NIGMS NIH HHS R01 GM104960PHS HHS RGM104960
6 · The paper itself

Abstract

Molecular automata are mixtures of molecules that undergo precisely defined structural changes in response to sequential interactions with inputs. Previously studied nucleic acid-based automata include game-playing molecular devices (MAYA automata) and finite-state automata for the analysis of nucleic acids, with the latter inspiring circuits for the analysis of RNA species inside cells. Here, we describe automata based on strand-displacement cascades directed by antibodies that can analyse cells by using their surface markers as inputs. The final output of a molecular automaton that successfully completes its analysis is the presence of a unique molecular tag on the cell surface of a specific subpopulation of lymphocytes within human blood cells.

Indexed as

Cell Surface Display TechniquesAntibodiesBlood CellsCell DifferentiationCell LineageComputers, MolecularHumansStreptavidinT-LymphocytesAntibodiesStreptavidin

Identifiers

PMID23892986
PMCPMC3776593

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.