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Research Interest Cancer Cell Cycle Cell Signalling Metabolism Protein Expression FEBS Constituent Society Türkiye (TBS) Followed by Assistant Professor, Istinye University

When writing the methodology section of a manuscript, we meticulously list everything: solutions, specific antibodies, inhibitors... Yet, we always leave out the most critical element determining the success of a PhD journey: the human reagent sitting at the bench right next to ours. Finding the right labmate is not just a matter of social luck; it is a clinical prerequisite for surviving graduate school without losing your mind. A true labmate is someone who understands your silent language.

One of the peculiarities of academia is that the skills that bring success at one level are no guarantee of success at the next. A career in academia is linear, a ladder-like procession with one rung to be ascended after the other. First the PhD, then the postdoc, then the group leader position, then tenure and professorhood, then (maybe) departmental head, institute head, and beyond into the heady – or perhaps, foggy – realms of senior administration.

In this series, I have argued that modern biology has drifted into an arms race of data: more omics, more panels, more "resources", sometimes losing track of why we do it. We have begun letting our tools generate hypotheses for us and, in doing so, mistake prediction for deeper understanding. This epistemological mistake is compounded by removing ourselves, the observers of reality, from the picture, making it even harder to see our own biases.

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Studies over the last few decades have shown that the extracellular matrix (ECM) is not just a structural scaffold, but an essential regulator of dynamic cell communication, behaviour, and homeostasis. Because numerous studies have linked dysregulated ECM remodelling to chronic diseases, restoring a healthy cell-ECM crosstalk paves the way for innovative therapeutic approaches.

Suppose you want to change an RNA sequence so that a cell makes more of a protein. A model that predicts which RNA bases pair together may help you explore structure. To choose useful changes, you also need evidence that its predictions relate to protein production in your experimental system. This is why choosing an RNA model starts with a biological question. Predicting a splice site, a base-pair map, a three-dimensional structure and protein output are different tasks.

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For many PhD students and postdocs, attending a massive international congress can be as intimidating as it is exciting. While these large events offer broad overviews of the field, they often present significant challenges for junior researchers trying to build a network.