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We present a protocol to quantify directly reprogrammed induced cardiomyocyte-like cells (iCMs) in vitro using high content imaging analysis. This method allows us to quantify the efficiency of cardiac reprogramming in an automated manner and to directly visualize iCMs.
The goal of this protocol is to describe a method for quantifying induced cardiomyocyte-like cells (iCMs), which are directly reprogrammed in vitro by a reprogramming technique. Cardiac reprogramming provides a strategy to generate new cardiomyocytes. By introducing core cardiogenic transcription factors into fibroblasts; fibroblasts can be converted to iCMs without transition through the pluripotent stem cell state. However, the conversion rate of fibroblasts to iCMs still remains low. Accordingly, there have been numerous additional approaches to enhance cardiac reprogramming efficiency. Most of these studies assessed cardiac reprogramming efficiency using flow cytometry, while at the same time performed immunocytochemistry to visualize iCMs. Thus, at least two separate sets of reprogramming experiments are required to demonstrate the success of iCM reprogramming. In contrast, automated high content imaging analysis will provide both quantification and qualification of iCM reprogramming with a relatively small number of cells. With this method, it is possible to directly assess the quantity and quality of iCMs with a single reprogramming experiment. This approach will be able to facilitate future cardiac reprogramming studies that require large-scale reprogramming experiments such as screening genetic or pharmacological factors for enhancing reprogramming efficiency. In addition, the application of high content imaging analysis protocol is not limited to cardiac reprogramming. It can be applied to reprogramming of other cell lineages as well as any immunostaining experiments which need both quantification and visualization of immunostained cells.
Cardiac reprogramming has been developed as an alternative approach to stem cell mediated approaches to generate new cardiomyocytes. Given that it does not transition through stem cell state, it has a high potential to bypass some inherited limitations in stem cell mediated approaches. It has been shown that viral infection of at least three or four cardiogenic transcription factors into fibroblasts can convert fibroblasts toward a cardiac fate by eliminating fibroblast gene programs and rebuilding cardiogenic transcriptional networks in fibroblasts1,2,3,
All animal procedures were performed with the approval of Vanderbilt University Medical Center Institutional Animal Care and Use Committee.
1. Retrovirus generation and in vitro cardiac reprogramming
Following reprogramming experiments, we quantified iCMs using high content imaging analysis as described above. Composite images of 36 imaging sites that were used for high content imaging analysis were shown in Figure 1. iCMs are defined as double-positive cells (α-actinin+Titin-eGFP+) in these experiments. High content imaging analysis shows that ~26% of cells exhibited both cardiac markers following M-G-T-H transduction, while ~1% of empty vector transduced cont.......
The previous reprogramming studies assessed reprogramming efficiency using flow cytometry and demonstrated the structural quality of iCMs using immunocytochemistry in two separate experiments. Flow cytometry analysis requires a much larger number of starting cells, thereby increasing the scale of experiments. In contrast, high content imaging analysis can evaluate both quality and quantity of iCM reprogramming by a single experiment with a relatively small number of cells. Therefore, this new method can provide an effici.......
High content imaging analysis was performed in the Vanderbilt High-Throughput Screening (HTS) Core Facility with assistance provided by David Westover and Joshua Bauer. The HTS Core receives support from the Vanderbilt Institute of Chemical Biology and the Vanderbilt Ingram Cancer Center (P30 CA68485). This work was supported by AHA Innovative Project Award 18IPA34110341 and NIH R01 HL146524 (Y-.J. N.), and AHA post-doctoral fellowship award 20POST35210170 (Z.Z).
....Name | Company | Catalog Number | Comments |
A83-01 | Tocris | 2939 | |
anti-chicken Alexa 488 | Thermofisher | A11039 | |
anti-GFP antibody | Invitrogen | A10262 | |
anti-mouse Alexa 555 | Thermofisher | A21422 | |
anti-α-actinin antibody | Sigma | A7811 | |
DAPI solution | Vector labs | H1200 | |
Fugene 6 | Promega | E2691 | |
Insulin-Transferrin-SeleniumG supplement | Invitrogen | 41400-045 | |
Medium 199 | Invitrogen | 11150059 | |
MEM vitamin solution | Invitrogen | 11120-052 | |
MetaXpress software | Molecular device | ||
Micro XL automated cell imagining system | Molecular device | ||
Minimal essential amino acid solution | Sigma | M7145 | |
Opti-MEM | Gibco | 31905-070 | |
PES filter (0.45 µm) | Thomas scientific | 1159T84 | |
Platninum E cells | Cell Biolabs | RV-101 | |
Polybrene | Sigma | H9268 | |
SB431542 | Sigma | S4317 | |
Universal blocking buffer | BiogeneX | HK083-50K |
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