Genomic analysis uncovered genetic, transcriptional, and drug response shifts between different cultures, or "strains," of the same human cancer cell lines.
As Dana-Farber migrates its dozens of medical and radiation oncology protocols to the Philips platform, its focus is on digital pathology, genomics, and informatics.
In Cell this week: structural variant profiles for metastatic prostate cancer; approach for visualizing mRNA, lncRNA transcription; and more.
Dana-Farber's MatchMiner adds structure to clinical trial data to automate the pairing of patient genomic profiles to specific cancer research.
Mayo Clinic researchers found that mutations in these genes could be found in nearly 6 percent of patients and argued for germline genetic testing for patients.
The researchers used 10X Genomics' linked-read genome sequencing approach to home in on rearrangements that affect the androgen receptor locus and its enhancer.
The Wall Street Journal reports that some researchers are pinning their hopes to small, targeted clinical trials, while others argue large trials are still needed.
Evidence is accumulating that analyzing cell-free DNA and/or samples from circulating tumor cells provides a good surrogate for bone marrow in these patients.
In Genome Biology this week: antibody-independent chromatin interaction mapping method, computational approach for identifying common, rare cell types from single-cell data; and more.
A new study suggests that enhanced tumor clone frequencies, found by T cell receptor beta gene sequencing, coincide with poorer mycosis fungoides outcomes.
National Geographic reports that marine mammals have lost a gene that could make them more susceptible to organophosphate damage.
NPR reports on Human Cell Atlas Consortium's effort to catalog all the different cell types within the human body.
The Union of Concerned Scientists surveyed US government scientists about Trump Administration policies and more, Science reports.
In PNAS this week: history and genetic diversity of the scarlet macaw, approach for predicting human flu virus evolution, and more.