Enveda Biosciences, Boulder, CO, USA.
BMC Bioinformatics. 2023 May 19;24(1):207. doi: 10.1186/s12859-023-05337-6.
Better understanding the transcriptomic response produced by a compound perturbing its targets can shed light on the underlying biological processes regulated by the compound. However, establishing the relationship between the induced transcriptomic response and the target of a compound is non-trivial, partly because targets are rarely differentially expressed. Therefore, connecting both modalities requires orthogonal information (e.g., pathway or functional information). Here, we present a comprehensive study aimed at exploring this relationship by leveraging thousands of transcriptomic experiments and target data for over 2000 compounds. Firstly, we confirm that compound-target information does not correlate as expected with the transcriptomic signatures induced by a compound. However, we reveal how the concordance between both modalities increases by connecting pathway and target information. Additionally, we investigate whether compounds that target the same proteins induce a similar transcriptomic response and conversely, whether compounds with similar transcriptomic responses share the same target proteins. While our findings suggest that this is generally not the case, we did observe that compounds with similar transcriptomic profiles are more likely to share at least one protein target and common therapeutic applications. Finally, we demonstrate how to exploit the relationship between both modalities for mechanism of action deconvolution by presenting a case scenario involving a few compound pairs with high similarity.
更好地理解化合物对其靶标产生的转录组反应可以揭示化合物调控的潜在生物学过程。然而,建立化合物诱导的转录组反应与化合物靶标的关系并非易事,部分原因是靶标很少差异表达。因此,连接这两种模式需要正交信息(例如,途径或功能信息)。在这里,我们通过利用数千个转录组实验和 2000 多种化合物的靶标数据,进行了一项全面的研究,旨在探索这种关系。首先,我们证实化合物-靶标信息与化合物诱导的转录组特征并不如预期的那样相关。然而,我们揭示了如何通过连接途径和靶标信息来增加两者之间的一致性。此外,我们还研究了是否靶向相同蛋白质的化合物诱导相似的转录组反应,反之,是否具有相似转录组反应的化合物具有相同的靶标蛋白。虽然我们的研究结果表明,情况并非总是如此,但我们确实观察到,具有相似转录组谱的化合物更有可能至少共享一个蛋白质靶标和共同的治疗应用。最后,我们通过展示几个具有高度相似性的化合物对的情况场景,演示了如何利用这两种模式之间的关系进行作用机制分解。