Evidence map›Paper›PMID 35888943›Full record

ArticleMicromachines2022

A Microfluidic System of Gene Transfer by Ultrasound.

Cuimin Sun, Menghua Zhang, Guangyong Huang, Ping Zhang, Ronghui Lin, Xiangjun Wang, Hui You

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Cuimin SunSchool of Computer, Electronics and Information, Guangxi University, Nanning 530004, China.ORCID 0000-0003-4174-1094
Menghua ZhangSchool of Computer, Electronics and Information, Guangxi University, Nanning 530004, China.
Guangyong HuangDepartment of Mechanical Engineering, Guangxi University, Nanning 530004, China.
Ping ZhangInstitute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China.
Ronghui LinInstitute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China.
Xiangjun WangInstitute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China.
Hui YouDepartment of Mechanical Engineering, Guangxi University, Nanning 530004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasonic gene transfer has advantages beyond other cell transfer techniques because ultrasound does not directly act on cells, but rather pushes the gene fragments around the cells into cells through an acoustic hole effect. Most examples reported were carried out in macro volumes with conventional ultrasonic equipment. In the present study, a MEMS focused ultrasonic transducer based on piezoelectric thin film with flexible substrate was integrated with microchannels to form a microfluidic system of gene transfer. The core part of the system is a bowl-shaped curved piezoelectric film structure that functions to focus ultrasonic waves automatically. Therefore, the low input voltage and power can obtain the sound pressure exceeding the cavitation threshold in the local area of the microchannel in order to reduce the damage to cells. The feasibility of the system is demonstrated by finite element simulation and an integrated system of MEMS ultrasonic devices and microchannels are developed to successfully carry out the ultrasonic gene transfection experiments for HeLa cells. The results show that having more ultrasonic transducers leads a higher transfection rate. The system is of great significance to the development of single-cell biochip platforms for early cancer diagnosis and assessment of cancer treatment.

Indexed as

cell deliverymicrofluidicultrasound

Identifiers

PMID35888943
PMCPMC9318161

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.