Understanding the cellular heterogeneity is a break-through in both the field of biology and medicine. Cells harboring from the same genome show functional disparity in various microenvironment. Here, cell-specific regulatory circuits help to reveal the mode of regulation of the biomarkers and the cause of abnormalities regarding the disease progression. Therefore, each signal during the regulation process is important and crucial to determine the heterogeneity of disease. Low resolution cell isolation techniques used previously, averaging the signals of each cell, are not feasible to reconstruct the gene regulatory network. Recently, advancement of single-cell RNA sequencing techniques enabled to capture the transcriptomic aspects of each cell. Though single-cell gene expression studies open new pathway to unveil the biological complexities, but not sufficient to understand the cellular state under a disease condition. The local biological networks will further escalate the perception of the cellular heterogeneity more clearly. In this study, we established the local networks of the cell types responsible for one of the most aggressive cancers known as glioblastoma multiform. We identified the transcription factors those are responsible to regulate the mode of the cell-specific hub biomarkers and finally leads to disease progression. Moreover, the identified crucial transcription factors from the network are RELA, NFKB-family, STAT3, SP1, FOS and JUN. In the future, these transcription factors can be considered as a successful therapeutic target during designing precision medicine strategies.