Evidence map›Paper›PMID 29774082›Full record

ArticleBiomicrofluidics2018

Hierarchical shape-by-shape assembly of microparticles for micrometer-scale viral delivery of two different genes.

Daewon Lee, Amos Chungwon Lee, Sangkwon Han, Hyung Jong Bae, Seo Woo Song, Yunjin Jeong, Dong Yoon Oh, Seongkyu Cho, Junhoi Kim, Wook Park and 1 more

Abstract read
In one paragraph

Article in Biomicrofluidics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

11 authors.

Daewon LeeInterdisciplinary Program for Bioengineering, Seoul National University, Seoul 08826, South Korea.
Amos Chungwon LeeInterdisciplinary Program for Bioengineering, Seoul National University, Seoul 08826, South Korea.
Sangkwon HanDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.
Hyung Jong BaeDepartment of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Champaign, Illinois 61801, USA.
Seo Woo SongDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.
Yunjin JeongDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.
Dong Yoon OhInterdisciplinary Program for Bioengineering, Seoul National University, Seoul 08826, South Korea.
Seongkyu ChoDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.
Junhoi KimCancer Research Institute, Seoul National University College of Medicine, Seoul 03080, South Korea.
Wook ParkDepartment of Electronic Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, South Korea.
Sunghoon Kwon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding tissue engineering using a bottom-up approach has been hindered by technical limitations because no platform can demonstrate the controlled formation of a heterogeneous population of cells in microscale. Here, we demonstrate hierarchical shape-by-shape assembly of virus-laden particles into larger ones to transfect two different genes on the seeded cells. We show that smaller daughter particles with different sizes and shapes can be assembled into the matching indentations of larger parent particles with different sizes and shapes. Then, we transfected a population of cells with two different gene-transfecting viruses, each of which was laden on the parent or daughter particles.

Identifiers

PMID29774082
PMCPMC5935507

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.