» Articles » PMID: 16874371

Automated MEMS-based Drosophila Embryo Injection System for High-throughput RNAi Screens

Overview
Journal Lab Chip
Specialties Biotechnology
Chemistry
Date 2006 Jul 29
PMID 16874371
Citations 18
Authors
Affiliations
Soon will be listed here.
Abstract

We have developed an automated system based on microelectromechanical systems (MEMS) injectors for reliable mass-injection of Drosophila embryos. Targeted applications are high-throughput RNA interference (RNAi) screens. Our injection needles are made of silicon nitride. The liquid to be injected is stored in an integrated 500 nl reservoir, and an externally applied air pressure pulse precisely controls the injected volume. A steady-state water flow rate per applied pressure of 1.2 nl s(-1) bar(-1) was measured for a needle with channel width, height and length of 6.1 microm, 2.3 microm and 350 microm, respectively. A typical volume of 60 pl per embryo can be reliably and rapidly delivered within tens of milliseconds. Theoretical predictions of flow rates match measured values within +/-10%. Embryos are attached to a glass slide surface and covered with oil. Packages with the injector chip and the embryo slide are mounted on motorized xyz-stages. Two cameras allow the user to quickly align the needle tip to alignment marks on the glass slide. Our system then automatically screens the glass slide for embryos and reliably detects and injects more than 98% of all embryos. Survival rates after deionized (DI) water injection of 80% and higher were achieved. A first RNAi experiment was successfully performed with double-stranded RNA (dsRNA) corresponding to the segment polarity gene armadillo at a concentration of 0.01 microM. Almost 80% of the injected embryos expressed an expected strong loss-of-function phenotype. Our system can replace current manual injection technologies and will support systematic identification of Drosophila gene functions.

Citing Articles

High-throughput genetic manipulation of multicellular organisms using a machine-vision guided embryonic microinjection robot.

Alegria A, Joshi A, Blanco Mendana J, Khosla K, Smith K, Auch B Genetics. 2024; 226(4).

PMID: 38373262 PMC: 10990426. DOI: 10.1093/genetics/iyae025.


Neuron Contact Detection Based on Pipette Precise Positioning for Robotic Brain-Slice Patch Clamps.

Li K, Gong H, Qiu J, Li R, Zhao Q, Zhao X Sensors (Basel). 2023; 23(19).

PMID: 37836974 PMC: 10575430. DOI: 10.3390/s23198144.


Microfluidics for understanding model organisms.

Frey N, Sonmez U, Minden J, LeDuc P Nat Commun. 2022; 13(1):3195.

PMID: 35680898 PMC: 9184607. DOI: 10.1038/s41467-022-30814-6.


Microfluidic mechanoporation for cellular delivery and analysis.

Chakrabarty P, Gupta P, Illath K, Kar S, Nagai M, Tseng F Mater Today Bio. 2022; 13:100193.

PMID: 35005598 PMC: 8718663. DOI: 10.1016/j.mtbio.2021.100193.


Multiscale, multi-perspective imaging assisted robotic microinjection of 3D biological structures.

Joshi A, Alegria A, Auch B, Khosla K, Blanco Mendana J, Liu K Annu Int Conf IEEE Eng Med Biol Soc. 2021; 2021:4844-4850.

PMID: 34892294 PMC: 8966898. DOI: 10.1109/EMBC46164.2021.9630858.