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When Judy Mikovits, a researcher well-known for her controversial studies linking a mouse retrovirus to chronic fatigue syndrome (CFS), was jailed on a felony charge of being a fugitive from justice, she could not defend herself from behind bars and her criminal attorney chose not to comment.
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The journal Science on Thursday fully retracted a controversial study that had linked a mouse leukemia retrovirus to chronic fatigue syndrome, a disabling illness affecting an estimated one million people in the United States.
A report in Science 2 years ago that linked a mouse retrovirus, XMRV, to chronic fatigue syndrome astonished scientists and patients alike.
Then again, as a raging debate over a Science paper that linked a mouse retrovirus to chronic fatigue syndrome (CFS) makes clear, retractions can be a tall order, too.
VENTURA, CALIFORNIA Judy Mikovits has been on trial of sorts ever since she led a team that published a heavily criticized report in Science 2 years ago that linked a mouse retrovirus known as XMRV to chronic fatigue syndrome (CFS).
The Whittemore Peterson Institute for Neuro-Immune Disease (WPI), well known for a retracted study published by Science in 2009 that linked a mouse retrovirus to chronic fatigue syndrome (CFS), will continue to receive funding from the U.S. government for a $1.5 million, 5-year grant to study the disease.
Mikovits, who rose to fame in 2009 for a disputed study that linked a mouse retrovirus to chronic fatigue syndrome (CFS), appears to have frustrated a Nevada judge, who asserted that she had "flouted" his order to return the disputed property to the complainant, the Whittemore Peterson Institute for Neuro-Immune Dinease (WPI) in Reno.
After enduring more than 2 years of criticism that included evidence of contamination and misrepresentation of data, a Science paper that linked a mouse retrovirus to chronic fatigue syndrome (CFS) today received its last rites: Editor-in-Chief Bruce Alberts issued a full retraction.
Most importantly, our work represents a conceptual advancement in that we were able to link a mouse model of breast cancer with human breast cancer by applying a factor modeling approach to peripheral blood gene expression data.
We show that latent factor modeling of the peripheral blood transcriptome in a mouse model of breast cancer provides the basis for using computational methods to link a mouse model to a prototype human diagnostic based on a common underlying biological response to the presence of a tumor.
Klebsiella pneumoniae and Proteus mirabilis were found to be present in abundance in TRUC mice, linking a defect in the response to the microbiota to changes in the microbial composition [ 87].
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