Methods:

• Bulk/single-cell RNA-seq, differential gene analysis, and algorithm prediction techniques have been used to compare and identify the interaction between pulmonary immune cells and sensory neuron transcriptomics.

Sampling:

• Public and private datasets from patient samples of bronchial alveolar lavage fluid (BALF) & human dorsal root ganglion neurons (hDRGNs), and ligand-receptor signaling & mice sensory tissue databases, have been used for analysis.

The image below shows a sample workflow for ligand-receptor analyses of COVID-19 BALF and DRG samples, in support of the neuro-immune hypothesis (Ray et. al).