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All cancers appear after a period of clonal selection and subsequent clonal expansion.
Although the evolutionary principles brought about by hereditary intratumoral heterogeneity are now becoming clearer, researchers are still unclear.
A non-genetic mechanism that promotes intratumoral heterogeneity and malignant cloning
.
Recently, in a research report titled "Non-genetic determinants of malignant clonal fitness at single-cell resolution" published in the international journal Nature, scientists from the University of Melbourne and other institutions have successfully used a new type of cell barcode through research.
All cancers appear after a period of clonal selection and subsequent clonal expansion.
SPLINTR barcode library concept generation and verification
.
.
Image source: Fennell, KA, et al.
Nature (2021).
doi: 10.
1038/s41586-021-04206-7
Nature (2021).
doi: 10.
1038/s41586-021-04206-7
In this study, researchers found for the first time that cancer cells carrying the same genetic blueprint do not necessarily exhibit the same behavior, which poses a great challenge for researchers how to design targeting strategies
.
In the article, the researchers revealed the non-genetic changes in patients with acute myeloid leukemia .
In this study, researchers found for the first time that cancer cells carrying the same genetic blueprint do not necessarily exhibit the same behavior, which poses a great challenge for researchers how to design targeting strategies
This barcode technology called SPLINTR (Single-cell Profiling and LINeage TRacing) may help researchers identify specific genes expressed in each leukemia cell and monitor how this affects the behavior of cancer cells over time Later, the researchers observed that acute myeloid leukemia cells are most likely to form cancerous tumors
.
In the absence of genetic mutations, regulatory changes may be the key promoters of disease.
This barcode technology called SPLINTR (Single-cell Profiling and LINeage TRacing) may help researchers identify specific genes expressed in each leukemia cell and monitor how this affects the behavior of cancer cells over time Later, the researchers observed that acute myeloid leukemia cells are most likely to form cancerous tumors
The new technology developed by the researchers can help track changes in the regulatory genome of a single cancer cell over time, and they are happy to apply this computational analysis technology to this research field
Image source: https:// source: https:// Dane Vassiliadis said that this study emphasizes the power of SPLINTR technology, which can not only help identify rare tumor subgroups, but also help find new therapeutic targets or biomarkers, and carry out certain clinical monitoring
.
The research work in this article also challenges the dogmatic view that precision medicine is only looking for new gene mutations; although all precision medicine research aims to treat patients based on the unique characteristics of cancer, so far, these methods have only focused on and existed Unique DNA mutation
Researcher Dane Vassiliadis said that this study emphasizes the power of SPLINTR technology, which can not only help identify rare tumor subgroups, but also help find new therapeutic targets or biomarkers, and carry out certain clinical monitoring
However, recent studies have shown that up to 40% of tumors will begin to relapse after initially responding to therapy, but there is no evidence that new gene mutations in cancer cells can explain the resistance to this therapy
In summary, the results of this article provide relevant data, revealing the researchers' basic insights into the non-genetic transcription process behind the adaptability of malignant clones, which may also provide new clues and clues for later scientists to develop new cancer therapeutic strategies.
Original source:
Fennell, KA, Vassiliadis, D.
, Lam, EYN et al.
Non-genetic determinants of malignant clonal fitness at single-cell resolution.
Nature (2021).
doi: 10.
1038/s41586-021-04206-7
, Lam, EYN et al Non-genetic determinants of malignant clonal fitness at single-cell resolution Nature (2021) doi:.
.
.
10.
1038 / s41586-021-04206-7 in this message