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Unique protein expression profiles discriminate ex vivo differentiated monocytic MDSCs from TAMs.
* 1, 2 , 3 , 3 , 3, 4 , 3 , 3 , 3 , 3 , 3 , 5 , 5 , 5 , 3 , 3
1  Oncoimmunology Research Unit, Navarrabiomed-Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Complejo Hospitalario de Navarra (CHN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
2  Division of Gene Therapy and Regulation of Gene Expression, Cima Universidad de Navarra and Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
3  Oncoimmunology Research Unit, Navarrabiomed-Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Complejo Hospitalario de Navarra (CHN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.
4  Medical Oncology Unit, Complejo Hospitalario de Navarra (CHN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.
5  Proteomic Research Unit, Navarrabiomed-Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Complejo Hospitalario de Navarra (CHN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
Academic Editor: Humbert G. Díaz

Abstract:

Detailed knowledge of tumor biology is necessary for tumor reprogramming. Tumor associated macrophages (TAMs) and monocytic myeloid suppressor cells (m-MDSCs) are major tumor-promoting cells within the tumor microenvironment (TME). Differentiation of m-MDSC and TAMs is shaped by tumor microenvironment. Several factors have been shown to drive m-MDSC differentiation into TAMs, indicating that they are two different populations. However, TAMs and m-MDSC closely related functions, phenotypic similarities and differentiation plasticity contributes to the confusion over their ontogeny and differential characteristics. Here, we revealed the key differences between m-MDSC and TAMs, focused on differential pathways by high-throughput proteomics.

Keywords: monocytic myeloid supressor cells (m-MDSCs), Tumor associated macrophages (TAMs) ,tumor microenvironment (TME).
Comments on this paper
Humbert G. Díaz
Dear authors thank you for your support to the conference.
Now we closed the publication phase and launched the post-publication phase of the conference.
REVIEWWWERS'08 Brainstorming Workshop is Now Open from 2023-Jan-01 to 2023-Jan-31.
MOL2NET Committee, Authors, and Validated Social Media Followers Worldwide ...
Invited to Post Moderated Questions/Answers, Comments, about papers.
These are my Questions (Q) to you, please kindly post your public Answers (A) below
to promote scientific discussion and training of conference readers :

Q1. What are the basis of the Tfacts algorithm? It is the same than in the following reference:
Essaghir A, Toffalini F, Knoops L, Kallin A, van Helden J, Demoulin JB: Transcription factor regulation can be accurately predicted from the presence of target gene signatures in microarray gene expression data. Nucleic Acids Res. 2010, 38 (11): e120-10.1093/nar/gkq149.

Q2. Have you considered to compare the results of the following algorithms, TFact, RIF, CSA, and DRrank,
with your data, according to: BMC Bioinformatics volume 15, Article number: P33 (2014)
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-15-S10-P33
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Iratxe Aguado
Dear authors thank you for your support to the conference.
Now we closed the publication phase and launched the post-publication phase of the conference. REVIEWWWERS'08 Brainstorming Workshop is now open from 2023-Jan-01 to 2023-Jan-31. MOL2NET Committee, Authors, and Validated Social Media Followers Worldwide are invited to post moderated questions/answers, comments, about papers. Please kindly post your public answers (A) to the following questions in order to promote interchange of scientific ideas. These are my questions (Q) to you:
Q1. Can this be extrapolated to any kind of tumour?
Q2. Could there, one day, be an application of these results in the form of a diagnostic kit?
Dear author thanks in advance for your kind support answering the questions. Now, please become a verified REVIEWWWER of our conference by making questions to other papers in different Mol2Net congresses. Commenting Steps: Login, Go to Papers List, Select Paper, Write Comment, Click Post Comment. Papers list: https://mol2net-08.sciforum.net/presentations/view,
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