You know what I would also love? If the open science community would stop publishing think pieces about progressive practices in vanity journals or journals period. IMO it’s hypocritical and unserious (yes, I’m aware of the argument because I’ve had it countless times)
My favorite remains this awesome takedown of the impact factor that remains forever a preprint
https://t.co/rOGujrSG6Z
Doing research abroad comes with its own set of social, emotional, and bureaucratic challenges. In our latest ecrLife post, @Izzie_Hb, @arorankita, and @RuchikaBajaj9 talk about the problems faced by our international colleagues and how to help them thrive
https://t.co/5MqqubApp3
Looking for a job is intense and can be overwhelming. In our latest post, @HeijdenLab shares her experience with entering the academic job market and what surprised her about the process, from response times to stimulating discussions in chalk talks.
https://t.co/6SAzAYjEYi
Reference letters are meant to support applicants, but they can sometimes be misused in abusive ways. In our latest post, @RuchikaBajaj9, @R_Suhaila, and @rio_sugimura explain the drawbacks of reference letters and how we can improve application processes.
https://t.co/pUEiu4SSNd
Interested in reproducibility in academia? Our latest post highlights the journey of the @reprodcomputbio team in helping to make science more reproducible, and how ECRs can take the lead to ensure our results are trustworthy.
https://t.co/9vwWMU3mKz
Throughout our training process, many ECRs find themselves asking if we have what it takes to become a successful mentor. In this blog post, @RuchikaBajaj9 shares how she designed a #mentoring experiment to test if she can be a great mentor.
https://t.co/aNUt9INERP
@eLifeCommunity In our newest post, @ufangyang talks about the benefits of being part of a scientific community (and large teams) for ECRs: it will help you get through challenging times, expand your network, and provide you with unexpected mentors and opportunities.
https://t.co/T6aMVqbwTQ
I am truly excited to share one of the major works to emerge from my postdoc, now on bioRxiv:
https://t.co/Y2YHSCM7Rx
We explore the role of differential 'substrate quality' on the phosphorylation of kinase targets, using as our case study the master kinase CK2 (1/n).
📢 Meet our newest editors!
Bringing a broad range of experience, since September last year 115 editors have joined eLife from 17 countries across the world 🌍
https://t.co/eUkFQ60yjz
In honor of #MayDay, we invited union organizer @danny_doucette to share his perspective from the frontlines on how unions protect graduate students. Read the first hand account here and stay tuned for more to come from the FoR Labor Task Force.
https://t.co/GHYWupUQiu
Los investigadores latinoamericanos impulsan conversaciones sobre los cambios en la forma de publicar ciencia.
En este workshop de 2 días podrán conocer aspectos de la ciencia abierta para el futuro de la investigación en América Latina. Regístrese aquí: https://t.co/u7NTI0s8u5
Toxic lab environments set up ECRs for failure. We often hear about colleagues in these situations, but it is hard to know how to help. Here, @RuchikaBajaj9, @R_Suhaila, and @rio_sugimura provide suggestions for all of us to make academia more welcoming.
https://t.co/8dTB542chM
Read the latest @ecr_life blog post which shares suggestions for researchers, PIs and institutions to prevent abuse in academia and set scientists free by 3 eLife Ambassadors: @rio_sugimura, @R_Suhaila and @RuchikaBajaj9. https://t.co/2ViHcAbJej
Our results have multiple implications. Interactions between expression level and coding mutations, like those described previously for disease mutations, are widespread. In terms of evolution, shifts in protein abundance can enable or restrict mutational trajectories. (7/7)
Very excited to share our latest paper in @ScienceAdvances! We find that the fitness effects of mutations change under different levels of promoter activity. These changes are associated with slightly destabilizing effects on the protein structure (1/7)
https://t.co/jObFDciJHv
The effects of mutations on DfrB1 depend on induction level. Higher induction partially compensated for decreases in protein stability, while mutations leading to higher abundance masked insufficient induction. We did not observe a cost of DfrB1 overexpression. (6/7)
Our results have multiple implications. Interactions between expression level and coding mutations, like those described previously for disease mutations, are widespread. In terms of evolution, shifts in protein abundance can enable or restrict mutational trajectories. (7/7)
The effects of mutations on DfrB1 depend on induction level. Higher induction partially compensated for decreases in protein stability, while mutations leading to higher abundance masked insufficient induction. We did not observe a cost of DfrB1 overexpression. (6/7)