微泡
骨髓
表型
祖细胞
复制(统计)
黑色素瘤
癌症研究
生物
祖细胞
细胞生物学
医学
干细胞
免疫学
病毒学
小RNA
遗传学
基因
作者
Jeewon Kim,Amirali Afshari,Ranjita Sengupta,Vittorio Sebastiano,Archana Gupta,Young H Kim,Elizabeth Iorns,Rachel Tsui,Alexandria Denis,Nicole Perfito,Timothy M. Errington,Elizabeth Iorns,Rachel Tsui,Alexandria Denis,Nicole Perfito,Timothy M. Errington
出处
期刊:eLife
[eLife Sciences Publications Ltd]
日期:2018-12-11
卷期号:7
被引量:26
摘要
As part of the Reproducibility Project: Cancer Biology we published a Registered Report (<xref ref-type="bibr" rid="bib30">Lesnik et al., 2016</xref>) that described how we intended to replicate selected experiments from the paper ‘Melanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through MET’ (<xref ref-type="bibr" rid="bib36">Peinado et al., 2012</xref>). Here we report the results. We regenerated tumor cells stably expressing a short hairpin to reduce Met expression (shMet) using the same highly metastatic mouse melanoma cell line (B16-F10) as the original study, which efficiently downregulated Met in B16F10 cells similar to the original study (Supplementary Figure 5A; <xref ref-type="bibr" rid="bib36">Peinado et al., 2012</xref>). Exosomes from control cells expressed Met, which was reduced in exosomes from shMet cells; however, we were unable to reliably detect phosphorylated Met in exosomes. We tested the effect of exosome-dependent Met signaling on primary tumor growth and metastasis. Similar to the results in the original study, we did not find a statistically significant change in primary tumor growth. Measuring lung and femur metastases, we found a small increase in metastatic burden with exosomes from control cells that was diminished when Met expression was reduced; however, while the effects were in the same direction as the original study (Figure 4E; <xref ref-type="bibr" rid="bib36">Peinado et al., 2012</xref>), they were not statistically significant. Differences between the original study and this replication attempt, such as level of knockdown efficiency, cell line genetic drift, sample sizes, study endpoints, and variability of observed metastatic burden, are factors that might have influenced the outcomes. Finally, we report meta-analyses for each result.
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