如何計算病毒感染 MOI
100%感染需要多少病毒顆粒?在此博客文章和視頻中,我們將解釋感染複數或MOI的概念,並帶您逐步了解如何為實驗確定最佳的MOI。

100%感染需要多少病毒顆粒?
So you’ve packaged your DNA into a virus and you’re ready to infect your cells! But, how many viral particles are required for 100% infection? In this blog post and video, we’ll explain the concept of Multiplicity of Infection or MOI and take you through how to determine the best MOI for your experiment.
What is multiplicity of infection?
MOI是感染因子與感染目標的比率。在許多情況下,它是指在特定空間(例如細胞培養孔)中病毒顆粒與靶細胞的比率。
In a nutshell, MOI is the ratio of infectious agents to infection targets. In many cases, it is the ratio of viral particles to target cells in a defined space, such as a cell culture well.
| MOI = | Infectious Agents | = | Viral Particles |
| Infection Targets | Target Cells |
如果將一千萬個病毒添加到一百萬個細胞中,則MOI為10,而感染一個細胞的病毒顆粒的平均概率為10。
For example, if you add 10 million viruses to 1 million cells, you’d have an MOI of 10 and an average probability of 10 viral particles infecting one cell.
| MOI = | Viral Particles |
| Target Cells |
| MOI = | 10 million viral particles |
| 1 million cells |
MOI = 10
A simple sample calculation
Let’s do a quick example calculation! Let’s say you’d like to achieve an MOI of 10. If your virus titer is 1 x 106 IU/ml and you are delivering to 1 x 105 cells, what volume of virus will you need for your project?
假設您希望將MOI設置為10,如果您的病毒效價為1 x 106 IU / ml,並且要傳遞給1 x 105個細胞
| MOI = | Virus Titer X Virus Volume |
| Total Cell Number |
| 10 = | 1 x 106 IU/ml X ? |
| 1 x 105 cells |
Factors that can affect your MOI
So, based on the simple definition of MOI, you would expect that if your MOI was one, then each cell would be infected by one virus.
But the reality is not as simple! Why? Imagine yourself throwing 100 tennis balls into a room that has 100 buckets. Theoretically, there is one ball for every bucket. But in reality, the chance of every bucket getting 1 ball is very low! There are other factors to consider, such as do the buckets have backboards that would make it easier to make the shot?
Similarly, there are factors that can affect how easily viruses can infect their target cells, such as:
- the current state of your cell line: dividing or non-dividing
- the characteristics of the virus: lentivirus, adenovirus, etc.
- the transduction efficiency
- your application: transducing a packaging cell line for virus production, generating a stable cell line for protein production, etc.
For example, if the cell is in a non-dividing state, a higher MOI may be needed to achieve optimal transduction efficiency. This is the case when infecting neuronal cells such as SH-SY5Y with lentiviruses for gene delivery where a much higher MOI of 10-50 can be required.
So, how do you determine the optimal MOI for your experiment? Simply perform a pilot experiment using a reporter virus on your target cell line!
General workflow:
Step 1: Select 6 MOI conditions to test
For example, using a GFP Lentivirus, design a range of MOIs to use, let’s say, 6 conditions ranging from MOIs 1, 2, 5, 10, 15, and 30. It is typically better to test a lower MOI range to avoid cytotoxicity at the higher MOIs. A good starting point would be to reference commonly used MOI for cancer cells and devise the range around the suggested MOI.

Here is an example of how your results may look like. In this case, a minimum MOI of 10 is required for 100% infection of the target cells.

If your cells are naturally harder to transduce, there are transduction enhancers such as polybrene or our ViralMax Transduction Enhancers to increase infectivity performance.
Summary Video (Duration: 5 min)
We hope you found this blog post helpful in determining the optimal conditions for transduction of your virus to your target cells. At abm, we offer a ready-to-use collection of Lenti-, AAV, Adeno, and Retroviruses for any human, mouse, and rat gene! Browse our collection of tools and resources for gene expression today!
- Step-by-step infection protocol
- List of suggested MOIs for common cancer cell lines
- Blank reporter lentivirus