1.        Adler, M., Chavan, A. R. & Medzhitov, R. Tissue Biology: In Search of a New Paradigm. Annual Review of Cell and Developmental Biology vol. 39 67–89 (2023).

2.        Adler, M. et al. Emergence of division of labor in tissues through cell interactions and spatial cues. Cell Rep. 42, (2023).

3.        Wang, S. et al. An autocrine signaling circuit in hepatic stellate cells underlies advanced fibrosis in nonalcoholic steatohepatitis. Sci. Transl. Med. 15, (2023).

4.        Zhou, X. et al. Microenvironmental sensing by fibroblasts controls macrophage population size. Proc. Natl. Acad. Sci. U. S. A. 119, (2022).

5.        Adler, M. & Medzhitov, R. Emergence of dynamic properties in network hypermotifs. Proc. Natl. Acad. Sci. U. S. A. 119, (2022).

6.        Adler, M. et al. Controls for Phylogeny and Robust Analysis in Pareto Task Inference. Mol. Biol. Evol. 39, (2022).

7.        Katzir, I. et al. Senescent cells and the incidence of age-related diseases. Aging Cell 20, (2021).

8.        Shimshoni, E. et al. Distinct extracellular–matrix remodeling events precede symptoms of inflammation. Matrix Biol. 96, 47–68 (2021).

9.        Adler, M. et al. Principles of Cell Circuits for Tissue Repair and Fibrosis. iScience 23, (2020).

10.      Adler, M., Korem Kohanim, Y., Tendler, A., Mayo, A. & Alon, U. Continuum of Gene-Expression Profiles Provides Spatial Division of Labor within a Differentiated Cell Type. Cell Syst. 8, 43-52.e5 (2019).

11.      Adler, M. & Alon, U. Fold-change detection in biological systems. Curr. Opin. Syst. Biol. 8, 81–89 (2018).

12.      Adler, M. et al. Endocytosis as a stabilizing mechanism for tissue homeostasis. Proc. Natl. Acad. Sci. U. S. A. 115, E1926–E1935 (2018).

13.      Zhou, X. et al. Circuit Design Features of a Stable Two-Cell System. Cell 172, 744-757.e17 (2018).

14.      Adler, M., Szekely, P., Mayo, A. & Alon, U. Optimal Regulatory Circuit Topologies for Fold-Change Detection. Cell Syst. 4, 171-181.e8 (2017).

15.       Adler, M., Mayo, A. & Alon, U. Logarithmic and Power Law Input-Output Relations in Sensory Systems with Fold-Change Detection. PLoS Comput. Biol. 10, (2014).