Dataset Information

LC-MSMS of primary AML class I immunopeptidome (ERE-derived MAPs identification approach)

ABSTRACT: The development of therapeutic anticancer vaccines calls for the identification of tumor-specific antigens (TSAs). Though a combination of four cutting-edge proteogenomic approaches, we performed a deep exploration of the MHC-I presented peptides (MAPs) of 19 acute myeloid leukemia (AML) patients and identified various TSAs that could serve for the design of an anti-AML vaccine.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Mononuclear Cell, Bone Marrow, Blood

DISEASE(S): Acute Myeloid Leukemia

SUBMITTER: Courcelles Mathieu

LAB HEAD: Pierre Thibault

PROVIDER: PXD018542 | Pride | 2021-03-19

REPOSITORIES: pride

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Publications

Atypical acute myeloid leukemia-specific transcripts generate shared and immunogenic MHC class-I-associated epitopes.

Ehx Grégory G Larouche Jean-David JD Durette Chantal C Laverdure Jean-Philippe JP Hesnard Leslie L Vincent Krystel K Hardy Marie-Pierre MP Thériault Catherine C Rulleau Caroline C Lanoix Joël J Bonneil Eric E Feghaly Albert A Apavaloaei Anca A Noronha Nandita N Laumont Céline M CM Delisle Jean-Sébastien JS Vago Luca L Hébert Josée J Sauvageau Guy G Lemieux Sébastien S Thibault Pierre P Perreault Claude C

Immunity 20210318 4

Acute myeloid leukemia (AML) has not benefited from innovative immunotherapies, mainly because of the lack of actionable immune targets. Using an original proteogenomic approach, we analyzed the major histocompatibility complex class I (MHC class I)-associated immunopeptidome of 19 primary AML samples and identified 58 tumor-specific antigens (TSAs). These TSAs bore no mutations and derived mainly (86%) from supposedly non-coding genomic regions. Two AML-specific aberrations were instrumental in ...[more]

PMID: 33740418

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Project description:Transcriptomic analyses are particularly powerful in research when they are based on detailed underlying knowledge of developmental processes, morphological/anatomical features and biochemical/metabolic processes. Our work is based on our detailed knowledge of grain development and provides an invaluable resource for both Brachypodium grain development specifically and for comparative analyses to other species, including cereal crops. Grain development includes several transition points in addition to being preceded and succeeded by the fundamental developmental switches of fertilization and germination. Such complex process requires a larger sets of genes expressed in a highly-controlled manner. We have selected eight stages of developmental in Brachypodium distachyon encompassing these transitions and conducted comprehensive transcriptomic analyses to generate a valuable resource of the developmental transitions and the distinctive biological processes that are activated and/or repressed during grain development and germination. Comparison of the data generated in this project to other grasses, including the important crop species, and beyond will also shed light on the conservation and/or diversification in gene expression and function in an evolutionary context. Brachypodium distachyon grains (Bd-21 accession) were germinated on moist filter paper after stratification at 4°C for 48h. Five-day old seedlings were transferred to 9cm square pots with a 2:2:1 multipurpose compost: vermiculite: sand mix and grown under controlled environment conditions with a 18h photoperiod at 20°-22°C and light intensity of 180-200 umol/m/s. Tissue samples were collected from eight distinct developmental stages; pre-anthesis ovaries, young grains (1-3 DAA), middle length grains (3-8 DAA), full length grains (8-15 DAA), mature grains (15-20 DAA), mature grains without embryo, germinating grains and seedlings at 3-4 days after germination (Fig.1). Tissues were frozen in liquid nitrogen immediately after collection and were kept at -80°C until further analyses. Total RNA was isolated from frozen tissue samples using the Spectrum Plant Total RNA Kit (Sigma-Aldrich) following the manufacturer’s instructions. Three biological replicates were used for each stage of development. The RNA samples were treated with DNase I (New England Biolabs) in order to eliminate DNA contamination and their concentration was determined using a NanoDrop spectrophotometer (Thermo Fisher Scientific).

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