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. 2023 Mar 30:12:e84375.
doi: 10.7554/eLife.84375.

Autofluorescence imaging permits label-free cell type assignment and reveals the dynamic formation of airway secretory cell associated antigen passages (SAPs)

Affiliations

Autofluorescence imaging permits label-free cell type assignment and reveals the dynamic formation of airway secretory cell associated antigen passages (SAPs)

Viral S Shah et al. Elife. .

Abstract

The specific functional properties of a tissue are distributed amongst its component cell types. The various cells act coherently, as an ensemble, in order to execute a physiologic response. Modern approaches for identifying and dissecting novel physiologic mechanisms would benefit from an ability to identify specific cell types in live tissues that could then be imaged in real time. Current techniques require the use of fluorescent genetic reporters that are not only cumbersome, but which only allow the study of three or four cell types at a time. We report a non-invasive imaging modality that capitalizes on the endogenous autofluorescence signatures of the metabolic cofactors NAD(P)H and FAD. By marrying morphological characteristics with autofluorescence signatures, all seven of the airway epithelial cell types can be distinguished simultaneously in mouse tracheal explants in real time. Furthermore, we find that this methodology for direct cell type-specific identification avoids pitfalls associated with the use of ostensibly cell type-specific markers that are, in fact, altered by clinically relevant physiologic stimuli. Finally, we utilize this methodology to interrogate real-time physiology and identify dynamic secretory cell associated antigen passages (SAPs) that form in response to cholinergic stimulus. The identical process has been well documented in the intestine where the dynamic formation of SAPs and goblet cell associated antigen passages (GAPs) enable luminal antigen sampling. Airway secretory cells with SAPs are frequently juxtaposed to antigen presenting cells, suggesting that airway SAPs, like their intestinal counterparts, not only sample antigen but convey their cargo for immune cell processing.

Keywords: FAD; NADH; airway epithelia; autofluorescence; cell biology; goblet cell associated antigen passages; mouse; secretory cell associated antigen passages.

Plain language summary

Imaging several cell types, at the same time, within a living tissue is no small endeavor. To do so, scientists usually have to perform genetic manipulations that make certain proteins in each cell type fluorescent and therefore easy to track. However, these approaches are cumbersome, limited, and often not applicable to intact human tissues. A possible alternative would be to make use of autofluorescence – the fact that certain molecules in living cells naturally fluoresce when exposed to a particular wavelength of light. For example, this is the case for NAD(P)H and FAD, two small molecules necessary for life’s biochemical processes, and whose intracellular levels and locations vary depending on cell type. In response, Shah, Hou et al. developed a new imaging technique that takes advantage of the unique autofluorescence signatures of NAD(P)H and FAD to distinguish between the seven different types of cells that line the surface of the airways of mice. Using their autofluorescence approach, Shah, Hou et al. were also able to discover a new role for secretory cells, which normally produce fluids, mucus and various proteins necessary for the lungs to work properly. The imaging experiments show that these cells could also sample material from the surface of the airway in a manner similar to how cells in the intestine take up material from the gut and pass their cargo to immune cells that mediate infection control or tolerance. Further studies should uncover more details about this new function of secretory lung cells. Other exciting discoveries may also emerge from researchers adopting the method developed by Shah, Hou et al. to examine a range of organs (both healthy and diseased), and attempting to apply it to human tissues.

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Conflict of interest statement

VS, JH, VV, JX, MS, CL, JR No competing interests declared

Figures

Figure 1.
Figure 1.. NAD(P)H and FAD autofluorescence can be measured from murine tracheal epithelial cells and is stable across days.
(A) Mounting of tracheal explant for upright two-photon imaging. Semipermeable membranes (12 mm Transwell, 0.4 µm Pore Polyester Membrane Insert) were inverted and fixed to custom 3D printed inserts in 60 mm dishes using silicone adhesive. Trachea were dissected and sutured onto O-rings for additional stability (A inset and Figure 1—figure supplement 1A). Trachea and O-ring were then placed onto the semipermeable membrane for upright imaging and explant culture. Inset showing a trachea sutured to O-ring in a zoomed view. (B) Autofluorescence emission normalized to maximal emission at different excitation wavelengths for both NAD(P)H and FAD. (C) NAD(P)H (blue), FAD (yellow), and second harmonic generation (SHG, gray) autofluorescence images of murine tracheal explant at (i) baseline, (ii) with the addition of antimycin (10 µM – mitochondrial complex I inhibitor) and rotenone (1 µM – mitochondrial complex III inhibitor) showing increased NAD(P)H fluorescence, and (iii) quantification of autofluorescence ratio (FAD/FAD +NAD[P]H) demonstrating a decrease. Each point is a single cell. N=20. (D) NAD(P)H (blue), FAD (yellow), and SHG (gray) autofluorescence images of murine tracheal explant at (i) baseline, (ii) with the addition of carbonyl cyanide p-trifluoro-methoxyphenyl hydrazone (FCCP – mitochondrial uncoupler) showing decrease in NAD(P)H fluorescence and an increase in the metabolic ratio (iii). Each point is a single cell. N=20. (E) Time course images of NAD(P)H (blue), FAD (yellow), and SHG (gray) of the same region of a tracheal explant at day 0 (i), day 1 (ii), and day 2 (iii) showing similar fluorescence. (iv) Quantification of ratio (FAD/FAD +NAD[P]H) of individual cells showing stability across 0, 1, and 2 days. N=15. ****p<0.0001 by paired t-test. Scale bars = 10 µm.
Figure 1—figure supplement 1.
Figure 1—figure supplement 1.. Mouse tracheal explant and microscopy set up.
(A) Dissection and subsequent suturing of trachea to O-ring. Immediately after euthanasia, trachea were excised after which further dissection along the posterior membrane was performed to separate the trachea into two halves. One piece was fixed to an O-ring using suture to prevent movement and to secure the trachea to the membrane insert. (B) Microscope filter and laser setup showing Insight laser set at 900 nm and Mai-Tai laser at 730 nm with a sharp cut dichroic mirror (SDM505) reflecting light less than 505 nm facilitated detection of FAD and second harmonic generation (SHG) while transmitting light greater that 505 nm for NAD(P)H detection at photomultiplier tubes (PMTs).
Figure 2.
Figure 2.. Autofluorescence imaging of common cell types.
(A–C) NAD(P)H (blue), FAD (yellow), and second harmonic generation (SHG, gray) autofluorescence (i) coupled with cell type-specific staining (ii) with acetylated tubulin (A) (green) for ciliated cells (B) CCSP (magenta) for secretory cells and (C) KRT5 (cyan) for basal cells. (iii) Cell borders determined from post-fixation staining are demarcated on autofluorescence images. (D) Quantification of FAD/FAD +NAD(P)H for ciliated cells (N=32), secretory cells (N=32), and basal cells (N=30), demonstrating distinct autofluorescence ratio. ANOVA test for multiple comparisons. **** p<0.0001. Scale bars = 10 µm.
Figure 2—figure supplement 1.
Figure 2—figure supplement 1.. Autofluorescence ratios of ciliated cells and secretory cells after antimycin A + rotenone or FCCP application.
Ciliated cells and secretory cells have statistically different autofluorescence ratios following the application of (i) antimycin A + rotenone and (ii) FCCP. N=10. Unpaired t-test. ***p=0.002 and ****p<0.0001.
Figure 3.
Figure 3.. Rare cell detection using a combination of autofluorescence and unbiased clustering.
NAD(P)H (blue), FAD (yellow), and second harmonic generation (SHG, gray) autofluorescence in (i) of (A) hillocks, (B) ionocytes, (C) tuft cells, and (D) neuroendocrine cells. Staining in (ii) of hillocks (K13 – magenta), ionocytes (BSND – green), tuft cells (GNAT3 – red), and neuroendocrine cells (PGP9 – cyan). Scale bars = 10 µm in (A) and 5 µm in (B–D). (iii) Overlay of cell outline from (ii) onto (i). Cross sectional imaging across the Z plane (iv) showing differential fluorescence specifically in ionocytes but absent in tuft and neuroendocrine (NE) cells. (E) Table with cell type-specific values of both autofluorescence (FAD, NADH, and ratio) and specific morphologic parameters. ‘X-length’=largest length in the XY plane. ‘Y-length’=smallest length in the XY plane. ‘Z-length’=largest length in Z dimension. ‘Aspect XY’=ratio of X-length/Y-length. ‘Aspect YZ’=Y-length/Z-length. ‘SD cell top’=SD of autofluorescence ratio from above mid height. ‘SD cell bottom’=SD of autofluorescence ratio from below mid height. ‘Ratio of SD’ is SD cell top/SD cell bottom. (F) Unbiased clustering by UMAP from (E) demonstrating separate clusters for each cell type. The numbers of each cell type measured were as follows: ionocytes (21), tuft (30), hillock (30), ciliated (32), secretory (32), neuroendocrine (31), and basal (30).
Figure 3—figure supplement 1.
Figure 3—figure supplement 1.. Morphometric parameters used in the analysis of airway epithelial cell types.
Figure 3—figure supplement 2.
Figure 3—figure supplement 2.. Unsupervised clusters analysis of all airway epithelial cell types shown individually.
Basal cells (red), neuroendocrine cells (orange), secretory cells (green), ciliated cells (black), hillock cells (cyan), tuft cells (blue), and ionocytes (magenta).
Figure 3—figure supplement 3.
Figure 3—figure supplement 3.. Confusion matrix demonstrating the performance of three algorithms for classifying cell identity.
152 cells were used for training, and 52 cells were used to test each algorithm (i) k-nearest neighbors, (ii) multinomial logistic regression, and (iii) XGBoost. The accuracy for the training set of 152 cells was 0.94, 0.98, and 1.00, respectively. The accuracy for the test set of 52 cells was 0.96, 0.96, and 0.92, respectively. Matthews Correlation Coefficients are 0.95, 0.95, and 0.91, respectively. 1=ionocytes, 2=tuft cells, 3=hillock cells, 4=ciliated cells, 5=secretory cells, 6=neuroendocrine cells, and 7=basal cells.
Figure 3—figure supplement 4.
Figure 3—figure supplement 4.. Confusion matrix demonstrating the performance of three algorithms, (i) k-nearest neighbors, (ii) multinomial logistic regression, and (iii) XGBoost, for classifying cell identity in the absence of NADH, FAD, and ratio autofluorescence data.
The overall accuracy was diminished as was the Matthews Correlation Coefficient, demonstrating that autofluorescence characteristics are important for cell type identification. 1=ionocytes, 2=tuft cells, 3=hillock cells, 4=ciliated cells, 5=secretory cells, 6=neuroendocrine cells, and 7=basal cells.
Figure 4.
Figure 4.. Autofluorescence imaging reliably identifies secretory cells despite the loss of characteristic secretory cell CCSP staining following methacholine stimulation.
(A) Murine airway epithelial cells expressing membrane tomato under ROSA promoter. CCSP staining (green) using identical imaging parameters performed on two adjacent halves of same trachea treated with (i) vehicle vs (ii) 10 µM methacholine. CCSP staining (green) is lost following methacholine stimulation. Cell membrane denoted by membrane tomato (magenta). (B) Fluorescence intensity of CCSP staining over time with methacholine stimulation imaged with same parameters. Each cell is represented by a dot. N=50. ****p<0.0001 by ANOVA. (C) Autofluorescence imaging (NADH blue, FAD yellow, and second harmonic generation [SHG] gray) of trachea at baseline (i) and after methacholine stimulation (ii). Magnified image of the region indicated by the white box is shown in (E). (D) Quantification of NADH, FAD, and fluorescence ratio (FAD/FAD +NAD[P]H) at baseline and after methacholine stimulation at single-cell resolution (each dot represents a cell, N=8). (E) White boxed regions from (C) showing the formation of non-fluorescent voids after methacholine stimulation in both an XY view and a cross-sectional XZ view. Non-fluorescent regions in baseline XZ are nucleus. Asterix denotes new non-fluorescent ‘void’ after methacholine stimulation. Scale bars = 10 µm in A and C and 5 µm in E.
Figure 5.
Figure 5.. Secretory cells take up luminal contents and form secretory cell associated antigen passages (SAPs).
(A) Secretory cell demonstrating uptake of FITC-dextran (10Kd, green) that is distinct from the nucleus stained by Draq5 (magenta). (i) Top panels are xy views and (ii) bottom panels are cross-sectional xz view. Dotted lines outline SAPs. Scale bars = 5 µm. (B) Tracheal imaging of (i) membrane tomato (magenta) and (ii) FITC-dextran (iii) overlay of both channels demonstrates methacholine-stimulated uptake of extracellular dextran into membrane bound SAPs (arrowheads). Scale bars = 5 µm. (C) FITC-dextran uptake in unstimulated and methacholine stimulated tracheal explants. Trachea from a mouse expressing membrane tomato (magenta) was bisected, and one half of the trachea was placed in media containing FITC-dextran (green) in the absence of methacholine, while the other half was placed in the same FITC-dextran media containing 10 µM methacholine. After 30 min of incubation, dextran uptake occurs in (i) unstimulated samples and (ii) dramatically increases following methacholine stimulation. (D) Selected images from Figure 5—video 1 demonstrating uptake of luminal FITC-dextran and subsequent secretion of cell contents. (i) Baseline image prior to methacholine stimulation. (ii) Uptake of FITC-dextran and formation of SAPs (9 min after methacholine stimulation). (iii and iv) Further accumulation of FITC-dextran (31 min and 40 min after methacholine stimulation). (v and vi) Secretion of cellular contents (53 min and 60 min after methacholine stimulation). (E) CD11c+antigen-presenting cells (APCs) interact with SAPs. (i and i') CD11c+APCs labeled by mCherry (magenta) (ii and ii’) methacholine stimulated SAP formation with FITC-dextran uptake (ii) and FITC-ovalbumin uptake (ii’). (iii and iii’) CD11c+APCs associate with SAPs (iv–vi and iv’–vi’) optical XZ cross sections of CD11c+APCs juxtaposed to SAPs. Scale bars = 5 µm.
Figure 5—figure supplement 1.
Figure 5—figure supplement 1.. XZ optical cross-sectional view of a murine airway liquid interface culture (ALI) of airway epithelial cells expressing membrane tomato (magenta) cultured in media containing FITC-dextran (green) demonstrating numerous examples of dextran uptake and secretion.
ALIs were treated with 10 µM methacholine, and images were obtained approximately 1 hr after stimulus. Scale bar = 10 µm.
Figure 5—figure supplement 2.
Figure 5—figure supplement 2.. CD11c+antigen-presenting cells (APC) associate with secretory cell associated antigen passages (SAPs).
Trachea from mice in which CD11c+APCs are labeled by mCherry (magenta) were incubated with FITC-dextran (A–B) or FITC-ovalbumin (C–D) and 10 µM methacholine. CD11c+APCs expressing mCherry (i), SAPs containing FITC-dextran/ovalbumin (ii), merge (iii), and XZ optical cross-sectional view of SAP/APC association (iv–vi). Scale bar = 5 µm.

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  • doi: 10.1101/2022.11.01.514675

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