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Rising Stars in Proteomics and Metabolomics
Journal of Proteome Research ( IF 4.4 ) Pub Date : 2021-01-14 , DOI: 10.1021/acs.jproteome.0c01026
John R. Yates

“Almost everything that is great has been done by youth.”(1)—Benjamin Disraeli Ah, the sweet unfettered time of youth! I have stated, at times, that graduate school was one of the best times of my life. While it was stressful—as graduate school can be—it was also a time of exploration and challenge and of intellectual pursuits. There were also a lot of fun times with good friends that included beer and nachos. Many of the ideas that became important in my early independent career began percolating in my head at this time. When you are young, you can be unencumbered by obligations that come with commitments and success and thus are free to explore new ideas and directions. It is my belief that much in the way of innovation comes from new scientists starting out their careers and developing a new niche, addressing new questions, or disrupting common views or technology. It is not always easy as a young investigator to get your novel ideas heard, as you can run into the “guardians of the dogmas”—the scientists who believe what they believe and are slow to accept the new ideas or approaches you are pursuing. Max Planck said it well, “A new scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents die, and a new generation grows up that is familiar with it.”(2) Still, it can be hard to stay the course and remain confident in your ideas, so I wanted to share some lessons I’ve learned over the years.
1)Data drives funding. If you do not have data, then your ideas may still be powerful, but preliminary data is important to advance new ideas and to get long-term funding. However, there are grant programs that do not require preliminary data and are meant to encourage innovation and high-risk proposals. Seek these out to gather data to support your ideas for longer term funding.
2)Develop a thick skin. I have to admit that this is easier said than done, but if you are proposing something counter to a prevailing belief, then there may be a lot of pushback. Sayre’s law states, “In any dispute the intensity of feeling is inversely proportional to the value of the issues at stake.” Many issues in academia are “small potatoes” on the universal scale of things, but we still get heated and passionate about our views. Some academics will go 12 rounds over the proper buffer to use in an experiment. A thick skin is essential for your mental health. (You can use “serenity now” as your mantra!)
3)Seek a mentor. A good mentor is invaluable. They can provide help on grant writing, paper submissions, and how to handle reviews. Sometimes it is just good to have someone to talk through issues or research ideas. (Has anyone done this before? Is this even a good idea? Does this violate the third law of thermodynamics?!) My favorite example is a struggle I was having getting a paper published as a new Assistant Professor. I was complaining to my former Ph.D. advisor about it at a conference, and he asked if I had a copy of the paper with me. Immediately, he walked the paper over to the Editor of the Journal of the American Society for Mass Spectrometry (JASMS) and told him he should publish it. A few months and some minor revisions later, it was published.
4)The Queen’s Gambit. You’ll hear the word “no” a lot, and you’ll get rejection letters frequently, so it is important to have a workaround plan. Your career is like a chess game, and you need to be thinking many moves ahead and have counter moves ready.
5)Have a model. Find a more senior scientist whose career path you admire (not too senior to yourself) and model your path on that person’s. I have had a few people tell me they modeled their career path on mine. I was, of course, flattered that they thought I had a path and a plan and that they thought it was a good one! Obviously, having a model does not mean recreating every step in someone else’s career, but learning about someone else’s path could help you avoid making missteps or getting discouraged when faced with obstacles.
Data drives funding. If you do not have data, then your ideas may still be powerful, but preliminary data is important to advance new ideas and to get long-term funding. However, there are grant programs that do not require preliminary data and are meant to encourage innovation and high-risk proposals. Seek these out to gather data to support your ideas for longer term funding. Develop a thick skin. I have to admit that this is easier said than done, but if you are proposing something counter to a prevailing belief, then there may be a lot of pushback. Sayre’s law states, “In any dispute the intensity of feeling is inversely proportional to the value of the issues at stake.” Many issues in academia are “small potatoes” on the universal scale of things, but we still get heated and passionate about our views. Some academics will go 12 rounds over the proper buffer to use in an experiment. A thick skin is essential for your mental health. (You can use “serenity now” as your mantra!) Seek a mentor. A good mentor is invaluable. They can provide help on grant writing, paper submissions, and how to handle reviews. Sometimes it is just good to have someone to talk through issues or research ideas. (Has anyone done this before? Is this even a good idea? Does this violate the third law of thermodynamics?!) My favorite example is a struggle I was having getting a paper published as a new Assistant Professor. I was complaining to my former Ph.D. advisor about it at a conference, and he asked if I had a copy of the paper with me. Immediately, he walked the paper over to the Editor of the Journal of the American Society for Mass Spectrometry (JASMS) and told him he should publish it. A few months and some minor revisions later, it was published. The Queen’s Gambit. You’ll hear the word “no” a lot, and you’ll get rejection letters frequently, so it is important to have a workaround plan. Your career is like a chess game, and you need to be thinking many moves ahead and have counter moves ready. Have a model. Find a more senior scientist whose career path you admire (not too senior to yourself) and model your path on that person’s. I have had a few people tell me they modeled their career path on mine. I was, of course, flattered that they thought I had a path and a plan and that they thought it was a good one! Obviously, having a model does not mean recreating every step in someone else’s career, but learning about someone else’s path could help you avoid making missteps or getting discouraged when faced with obstacles. This time in your life is intense with unique challenges. However, the great joy of being able to start implementing your ideas and driving your own projects is worth the fight. And do not forget to enjoy the ride; it is a great adventure. In this “Rising Stars in Proteomics and Metabolomics” Virtual Issue, we recognize emerging scientists in the fields of proteomics and metabolomics selected by the Associate Editors of the Journal of Proteome Research (JPR) and the Editorial Advisory Board members. The 40 authors included in this collection are all early career researchers (from graduate students to newly appointed Associate Professors and Research Scientists), have a publication in one of the ACS measurement science journals (JPR, Analytical Chemistry (AC), and JASMS), and have already demonstrated incredible originality and promise for the future of proteomics and metabolomics. Please take a look at the list below and read through the collection of papers included in this Virtual Issue. We wish them all great success and thank them for sharing their journey with JPR.
  • 2021 Rising Stars in Proteomics and Metabolomics
  • Christopher Ashwood, University of Nebraska Medical Center
  • Josue Baeza, University of Pennsylvania
  • Rebecca Beveridge, University of Strathclyde
  • Wout Bittremieux, University of California San Diego and University of Antwerp
  • Antonio Calabrese, University of Leeds
  • Hao Chi, Institute of Computing Technology, Chinese Academy of Sciences
  • Meena Choi, Northeastern University
  • Maarten Dhaenens, Ghent University
  • William Fondrie, University of Washington
  • Nicola Gray, Murdoch University
  • Chenxi Jia, National Center for Protein Sciences
  • Christina Jones, National Institute of Standards and Technology
  • Qingrun Li, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences
  • Jing Li, Shanghai Jiao Tong University
  • Huilin Li, Sun Yat-sen University
  • Stacy Malaker, Yale University
  • Jesse G. Meyer, Medical College of Wisconsin
  • Benjamin Neely, National Institute of Standards and Technology
  • Aleksandra Nita-Lazar, National Institutes of Health
  • Alessandro Ori, Fritz Lipmann Institute
  • Benjamin Parker, University of Melbourne
  • Lindsay Pino, University of Pennsylvania
  • Liang Qiao, Fudan University
  • Nicholas Riley, Stanford University
  • Laura Sanchez, University of California, Santa Cruz
  • Leah Schaffer, University of California, San Diego
  • Devin Schweppe, University of Washington
  • Nichollas Scott, University of Melbourne
  • Brian Searle, Institute for Systems Biology
  • Wenqing Shui, ShanghaiTech University
  • Harrison Specht, Northeastern University
  • Liangliang Sun, Michigan State University
  • Tim Van Den Bossche, Ghent University
  • Matt Waas, University of Nebraska
  • Guanbo Wang, Nanjing Normal University
  • Luke Whiley, Murdoch University
  • Junyu Xu, Shanghai Institute of Materia Medica, Chinese Academy of Sciences
  • Jing Yang, National Center for Protein Sciences
  • Wenfeng Zeng, Max Planck Institute of Biochemistry
  • Yaoyang Zhang, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences
Christopher Ashwood, University of Nebraska Medical Center Josue Baeza, University of Pennsylvania Rebecca Beveridge, University of Strathclyde Wout Bittremieux, University of California San Diego and University of Antwerp Antonio Calabrese, University of Leeds Hao Chi, Institute of Computing Technology, Chinese Academy of Sciences Meena Choi, Northeastern University Maarten Dhaenens, Ghent University William Fondrie, University of Washington Nicola Gray, Murdoch University Chenxi Jia, National Center for Protein Sciences Christina Jones, National Institute of Standards and Technology Qingrun Li, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences Jing Li, Shanghai Jiao Tong University Huilin Li, Sun Yat-sen University Stacy Malaker, Yale University Jesse G. Meyer, Medical College of Wisconsin Benjamin Neely, National Institute of Standards and Technology Aleksandra Nita-Lazar, National Institutes of Health Alessandro Ori, Fritz Lipmann Institute Benjamin Parker, University of Melbourne Lindsay Pino, University of Pennsylvania Liang Qiao, Fudan University Nicholas Riley, Stanford University Laura Sanchez, University of California, Santa Cruz Leah Schaffer, University of California, San Diego Devin Schweppe, University of Washington Nichollas Scott, University of Melbourne Brian Searle, Institute for Systems Biology Wenqing Shui, ShanghaiTech University Harrison Specht, Northeastern University Liangliang Sun, Michigan State University Tim Van Den Bossche, Ghent University Matt Waas, University of Nebraska Guanbo Wang, Nanjing Normal University Luke Whiley, Murdoch University Junyu Xu, Shanghai Institute of Materia Medica, Chinese Academy of Sciences Jing Yang, National Center for Protein Sciences Wenfeng Zeng, Max Planck Institute of Biochemistry Yaoyang Zhang, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences Views expressed in this editorial are those of the author and not necessarily the views of the ACS. This article references 2 other publications. This article has not yet been cited by other publications. This article references 2 other publications.
更新日期:2021-02-05
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