Slashdot Mirror


Over 30,000 Published Studies Could Be Wrong Due To Contaminated Cells (sciencealert.com)

An anonymous reader quotes a report from Science Alert: Researchers warn that large parts of biomedical science could be invalid due to a cascading history of flawed data in a systemic failure going back decades. A new investigation reveals more than 30,000 published scientific studies could be compromised by their use of misidentified cell lines, owing to so-called immortal cells contaminating other research cultures in the lab. The problem is as serious as it is simple: researchers studying lung cancer publish a new paper, only it turns out the tissue they were actually using in the lab were liver cells. Or what they thought were human cells were mice cells, or vice versa, or something else entirely. If you think that sounds bad, you're right, as it means the findings of each piece of affected research may be flawed, and could even be completely unreliable.

Horback and fellow researcher Willem Halffman wanted to know how extensive the phenomenon of misidentified cell lines really was, so they searched for evidence of what they call "contaminated" scientific literature. Using the research database Web of Science, they looked for scientific articles based on any of the known misidentified cell lines as listed by the International Cell Line Authentication Committee's (ICLAC) Register of Misidentified Cell Lines.There are currently 451 cell lines on this list, and they're not what you think they are -- having been contaminated by other kinds of cells at some point in scientific history. Worse still, they've been unwittingly used in published laboratory research going as far back as the 1950s.

3 of 106 comments (clear)

  1. Like eating at McDonald's by volodymyrbiryuk · · Score: 0, Offtopic

    You never know what kind of "meat" you get in your (petri-)dish.

    --
    sudo rm -r -f --no-preserve-root /
  2. Settled science by Anonymous Coward · · Score: 0, Offtopic

    Nothing like that could ever happen in climate science. When they enter the fabricated data into a climate model and can't replicate the past with out changing the past temperatures to match what their model says it was.

  3. What a relief by rastos1 · · Score: 1, Offtopic

    TFA makes me much less worried about the crappy code I write. I mean, reading /. for years taught me to be ashamed about writing sloppy code, and ignoring best practices in SW development and security. It got me in trouble for raising a hell for using obsolete/EOL-ed development tools/languages/OS/, etc etc. But now ? I feel relief. There are people out there that are doing much more important work than me, they fuck it up and it still goes on for decades. I can sleep well. I have nothing to worry about anymore.