Table 2.

Summary table containing the technique and major conclusions of the articles discussed in this section.

Technique	Major conclusions	References
Seq-Well	Genetic profile of macrophages exposed to M. tuberculosis	Gierahn et al., 2017
10x Chromium	Single-cell landscape of M. tuberculosis-infected macaques lungs during TB and latency	Esaulova et al., 2021
CITE-Seq	Differential abundance and function of TH17 subset between progressors and non-progressors donors	Nathan et al., 2021
10x Chromium	Identification of latent individuals with high risk to develop active TB disease based on monocytes immune cells	Bossel Ben-Moshe et al., 2019
10x Chromium	Identification of NK cell subset depleted, and monocytes and B cells increase during TB	Cai et al., 2020
CITE-Seq	Understanding of the roles that different host cell populations play during the course of an infection	Pisu et al., 2021
Seq-Well S3	Transcriptional landscape of inflammatory skin disease, leprosy	Hughes et al., 2020
10x Chromium	Primary suppressive landscape in the L-LEP patients	Mi et al., 2022
Seq-Well	Single-cell profiling of tuberculosis lung granulomas	Gideon et al., 2020
Seq-Well	Integration of scRNA-seq with spatial sequencing, to delineate the cellular and molecular structure of the organized granuloma in leprosy	Ma et al., 2021
In situ sequencing	Different immune landscapes of M. tuberculosis granulomas depending on the time after infection	Carow et al., 2019