Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28265064
&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28265064
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Proc+Natl+Acad+Sci+U+S+A
2017 ; 114
(12
): E2293-E2302
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Multisensor-integrated organs-on-chips platform for automated and continual in
situ monitoring of organoid behaviors
#MMPMID28265064
Zhang YS
; Aleman J
; Shin SR
; Kilic T
; Kim D
; Mousavi Shaegh SA
; Massa S
; Riahi R
; Chae S
; Hu N
; Avci H
; Zhang W
; Silvestri A
; Sanati Nezhad A
; Manbohi A
; De Ferrari F
; Polini A
; Calzone G
; Shaikh N
; Alerasool P
; Budina E
; Kang J
; Bhise N
; Ribas J
; Pourmand A
; Skardal A
; Shupe T
; Bishop CE
; Dokmeci MR
; Atala A
; Khademhosseini A
Proc Natl Acad Sci U S A
2017[Mar]; 114
(12
): E2293-E2302
PMID28265064
show ga
Organ-on-a-chip systems are miniaturized microfluidic 3D human tissue and organ
models designed to recapitulate the important biological and physiological
parameters of their in vivo counterparts. They have recently emerged as a viable
platform for personalized medicine and drug screening. These in vitro models,
featuring biomimetic compositions, architectures, and functions, are expected to
replace the conventional planar, static cell cultures and bridge the gap between
the currently used preclinical animal models and the human body. Multiple
organoid models may be further connected together through the microfluidics in a
similar manner in which they are arranged in vivo, providing the capability to
analyze multiorgan interactions. Although a wide variety of human organ-on-a-chip
models have been created, there are limited efforts on the integration of
multisensor systems. However, in situ continual measuring is critical in precise
assessment of the microenvironment parameters and the dynamic responses of the
organs to pharmaceutical compounds over extended periods of time. In addition,
automated and noninvasive capability is strongly desired for long-term
monitoring. Here, we report a fully integrated modular physical, biochemical, and
optical sensing platform through a fluidics-routing breadboard, which operates
organ-on-a-chip units in a continual, dynamic, and automated manner. We believe
that this platform technology has paved a potential avenue to promote the
performance of current organ-on-a-chip models in drug screening by integrating a
multitude of real-time sensors to achieve automated in situ monitoring of
biophysical and biochemical parameters.