Tuberculosis is a global threat affecting millions of people and requires more efficient methods of diagnosis, monitoring treatment response and the development of more efficacious drug therapies and new vaccines. The use of transcriptomic approaches and gene expression techniques have contributed to the elucidation of these aspects concerning the study of tuberculosis, and more specifically, the utilization of transcriptional profiles to identify biomarkers. These markers are the key to developing tools required to improve diagnosis and treatment of tuberculosis. Several studies have led to the identification of markers able to distinguish between different infection states, as well as other pulmonary diseases. Utilizing a systems biology approach will assist in obtaining more reliable results, leading to the implementation of significant findings.