Deciphering cell–cell interactions and communication from gene expression
E Armingol, A Officer, O Harismendy… - Nature Reviews …, 2021 - nature.com
Cell–cell interactions orchestrate organismal development, homeostasis and single-cell
functions. When cells do not properly interact or improperly decode molecular messages …
functions. When cells do not properly interact or improperly decode molecular messages …
Network pharmacology of cancer: From understanding of complex interactomes to the design of multi-target specific therapeutics from nature
Despite massive investments in drug research and development, the significant decline in
the number of new drugs approved or translated to clinical use raises the question, whether …
the number of new drugs approved or translated to clinical use raises the question, whether …
Gene co-expression analysis for functional classification and gene–disease predictions
S Van Dam, U Vosa, A van der Graaf… - Briefings in …, 2018 - academic.oup.com
Gene co-expression networks can be used to associate genes of unknown function with
biological processes, to prioritize candidate disease genes or to discern transcriptional …
biological processes, to prioritize candidate disease genes or to discern transcriptional …
A mechanically active heterotypic E-cadherin/N-cadherin adhesion enables fibroblasts to drive cancer cell invasion
Cancer-associated fibroblasts (CAFs) promote tumour invasion and metastasis. We show
that CAFs exert a physical force on cancer cells that enables their collective invasion. Force …
that CAFs exert a physical force on cancer cells that enables their collective invasion. Force …
Stromal integrin α11 regulates PDGFRβ signaling and promotes breast cancer progression
Cancer-associated fibroblasts (CAFs) are key actors in modulating the progression of many
solid tumors, such as breast cancer (BC). Herein, we identify an integrin α11/PDGFRβ …
solid tumors, such as breast cancer (BC). Herein, we identify an integrin α11/PDGFRβ …
Integrative analysis of histopathological images and genomic data predicts clear cell renal cell carcinoma prognosis
In cancer, both histopathologic images and genomic signatures are used for diagnosis,
prognosis, and subtyping. However, combining histopathologic images with genomic data …
prognosis, and subtyping. However, combining histopathologic images with genomic data …
Upregulation of lipid metabolism genes in the breast prior to cancer diagnosis
Histologically normal tissue adjacent to the tumor can provide insight of the
microenvironmental alterations surrounding the cancerous lesion and affecting the …
microenvironmental alterations surrounding the cancerous lesion and affecting the …
Extracellular vesicles in brain tumor progression
E D'Asti, S Chennakrishnaiah, TH Lee… - Cellular and molecular …, 2016 - Springer
Brain tumors can be viewed as multicellular 'ecosystems' with increasingly recognized
cellular complexity and systemic impact. While the emerging diversity of malignant disease …
cellular complexity and systemic impact. While the emerging diversity of malignant disease …
(Differential) co-expression analysis of gene expression: a survey of best practices
HA Chowdhury, DK Bhattacharyya… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
Analysis of gene expression data is widely used in transcriptomic studies to understand
functions of molecules inside a cell and interactions among molecules. Differential co …
functions of molecules inside a cell and interactions among molecules. Differential co …
Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer
HR Ali, A Dariush, E Provenzano, H Bardwell… - Breast Cancer …, 2016 - Springer
Background There is a need to improve prediction of response to chemotherapy in breast
cancer in order to improve clinical management and this may be achieved by harnessing …
cancer in order to improve clinical management and this may be achieved by harnessing …