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. 2014 Jul 5;4(13):e1163.
doi: 10.21769/BioProtoc.1163.

Phagolysosomal Trafficking Assay

Affiliations

Phagolysosomal Trafficking Assay

Alka Mehra. Bio Protoc. .

Abstract

Phagolysosomal trafficking is an important innate defense pathway that clears microbes by delivering them to lysosomes, the degradative compartment of the cell. Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis, subverts this host defense mechanism by arresting maturation of the phagosome. The ability of Mtb to arrest its delivery to the lysosome can be demonstrated by the prolonged co-localization of bacteria containing phagosomes/vacuole with early phagosomal markers [such as, Ras-related proteins in the brain 5 (Rab5) and Transferrin receptor (TfR)], and a failure to acquire late phagosomal and lysosomal markers (such as Rab7 and LAMP1) (Deretic and Fratti, 1999, Mehra et al., 2013). Here, a protocol is outlined for infection of macrophages with mycobacterial species like pathogenic Mtb, vaccine strain Mycobacterium bovis- bacillus Calmatte- Guérin (BCG) and rapidly dividing non-pathogenic Mycobacterium smegmatis (Msmeg), followed by indirect-immunofluorescence microscopy to visualize host vacuolar markers. Thereafter, automated quantification of degree of co-localization between mycobacteria and host vacuolar markers like TfR and LAMP1 is done by processing the binary images of bacteria using mathematical tools. This results in quantification of the mean fluorescence intensity (MFI) of these host markers directly around the bacteria/bacterial clusters with increased sensitivity relative to when done manually. By manipulating host or pathogen, this assay can be used to evaluate host or bacterial determinants of intracellular trafficking. The basic method can be applied to studying trafficking of other bacteria or particles like beads, although the kinetics of infection and phagosome maturation will depend upon the phagocytic cargo. The mathematical analysis tools are available in many standard imaging analysis programs. However, any adaption for similar analysis should be confirmed by the individual user with their imaging and analysis platform.

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Figures

Figure 1
Figure 1. Illustration showing detachment of the top chambers from the 8 well chamber slide
Remove the washing buffer from the wells (A) and insert blade as shown (B) and put gentle upward pressure which will detach the top plastic chamber (C) revealing a rubber gasket underneath (D). Peel off the rubber gasket gently (E).
Figure 2
Figure 2. Automated analysis of co-localization of host markers with mycobacterial phagosome
A. Immunostained image of Mtb infected RAW 264.7 macrophage at 24 hpi. A: Host marker (TfR) in grey and Mtb in green co-localize on phagosomes 1, 2, 3, 4 (pointed by blue arrows) to various degrees. Images have been pseudo-colored for illustration. B–H: Binary image processing to quantify co-localization as described in steps 25 to 30 of the section D of the protocol: Here, black, grey and yellow circles are symbolic representation of images C, D and F respectively. E shows pictorial representation of the effect of Boolean (XOR) operator on the images C and D image to yield F. H gives the quantification of mean fluorescence intensity (MFI) of TfR in the different ROIs with ID from 1 to 4.
Figure 2
Figure 2. Automated analysis of co-localization of host markers with mycobacterial phagosome
A. Immunostained image of Mtb infected RAW 264.7 macrophage at 24 hpi. A: Host marker (TfR) in grey and Mtb in green co-localize on phagosomes 1, 2, 3, 4 (pointed by blue arrows) to various degrees. Images have been pseudo-colored for illustration. B–H: Binary image processing to quantify co-localization as described in steps 25 to 30 of the section D of the protocol: Here, black, grey and yellow circles are symbolic representation of images C, D and F respectively. E shows pictorial representation of the effect of Boolean (XOR) operator on the images C and D image to yield F. H gives the quantification of mean fluorescence intensity (MFI) of TfR in the different ROIs with ID from 1 to 4.

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