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The most important thing for any of you to know is that there are already a number of tips and tricks over the internet that will definitely help you when you are in need of a kitchen drawer downloadMelanoma-Derived Extracellular Vesicles as Biomarkers for Immune Responses in Human Primary Dermal Lymphocytes.
Extracellular vesicles are nanoscale particles containing multiple types of signaling molecules derived from the surface of cells. Extracellular vesicles are increasingly being recognized as critical mediators of immune responses in solid tumors by regulating the homeostasis of the tumor microenvironment. In this study, we characterized vesicles secreted by metastatic melanoma cells and demonstrated that the level of exosomes in the serum correlates with the grade of melanoma. We further reported that human primary dermal lymphocytes were activated and polarized toward Th1 and Th17 subtype upon incubation with melanoma-derived extracellular vesicles. Specifically, we detected increased secretion of interferon-γ and interleukin-17, respectively, from human primary dermal lymphocytes as a result of the exposure to melanoma-derived exosomes. These results imply that melanoma-derived extracellular vesicles might be used as biomarkers for immune responses in patients with melanoma.Q:
Huge amount of IO with file.read
I want to read a CSV file with a very large number of lines, but there is a huge amount of IO. How can I read the file line by line and convert it into UTF-8 using the codecs library? The code I use is a simplified example as my real file contains more than 1 million lines.
with codecs.open(self.root_dir + '/file.csv', 'r', 'utf-8') as f:
for line in f:
result = self.load_line(line)
def load_line(self, line):
line = line.decode('utf-8')
# Do some processing
return line
The loads take about 300 ms for a file with 1,000,000 lines, which leads to an infinite loading time. Is there some way to improve the performance 0b46394aab
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