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pmid:39273511

Crucial Parameters for Immunopeptidome Characterization: A Systematic Evaluation.

Pablo Juanes-Velasco · Carlota Arias-Hidalgo · Marina L García-Vaquero · Janet Sotolongo-Ravelo · Teresa Paíno · Quentin Lécrevisse · Alicia Landeira-Viñuela · Rafael Góngora · Ángela-Patricia Hernández · Manuel Fuentes

International journal of molecular sciences · 2024 doi:10.3390/ijms25179564

Paper

complete

Experiment

complete

Data

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Analysis

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Execution

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Crucial Parameters for Immunopeptidome Characterization: A Systematic Evaluation.
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10.3390/ijms25179564
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Pablo Juanes-Velasco
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Carlota Arias-Hidalgo
[2]
Marina L García-Vaquero
[3]
Janet Sotolongo-Ravelo
[4]
Teresa Paíno
[5]
Quentin Lécrevisse
[6]
Alicia Landeira-Viñuela
[7]
Rafael Góngora
[8]
Ángela-Patricia Hernández
[9]
Manuel Fuentes
journal
International journal of molecular sciences
year
2024
abstract
Immunopeptidomics is the area of knowledge focused on the study of peptides assembled in the major histocompatibility complex (MHC), or human leukocyte antigen (HLA) in humans, which could activate the immune response via specific and selective T cell recognition. Advances in high-sensitivity mass spectrometry have enabled the detailed identification and quantification of the immunopeptidome, significantly impacting fields like oncology, infections, and autoimmune diseases. Current immunopeptidomics approaches primarily focus on workflows to identify immunopeptides from HLA molecules, requiring the isolation of the HLA from relevant cells or tissues. Common critical steps in these workflows, such as cell lysis, HLA immunoenrichment, and peptide isolation, significantly influence outcomes. A systematic evaluation of these steps led to the creation of an 'Immunopeptidome Score' to enhance the reproducibility and robustness of these workflows. This score, derived from LC-MS/MS datasets (ProteomeXchange identifier PXD038165), in combination with available information from public databases, aids in optimizing the immunopeptidome characterization process. The 'Immunopeptidome Score' has been applied in a systematic analysis of protein extraction, HLA immunoprecipitation, and peptide recovery yields across several tumor cell lines enabling the selection of peptides with optimal features and, therefore, the identification of potential biomarker and therapeutic targets.
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Immunoaffinity Matrix #2 identified substantially more peptides than Immunoaffinity Matrix #1: 6607–9389 peptides versus 526–5592 peptides, respectively.
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Between 526 and 5592 peptides (5–10% de novo peptides) were observed with Immunoaffinity Matrix #1 while between 6607 and 9389 peptides (7–10% de novo peptides) were observed with Immunoaffinity Matrix #2 (Figure 1 and Table 1).
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Overall, a higher number of proteins and peptides (encoding for those proteins) was identified in the studied samples by Immunoaffinity Matrix #2 and compared to those identified by Immunoaffinity Matrix #1 (Figure 1, Table 1 and Supplementary Table S1).
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Immune response disfunction in chronic lymphocytic leukemia: Dissecting molecular mechanism by multipronged functional proteomics approaches. Crucial parameters for the evaluation of Immunopeptidomic analysis.
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Complete file
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No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:39273511", "data:geo:PXD038165"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:PXD038165"]}, "gaps": ["method:not_determinable"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:31:52Z", "independence": "single_reader"}, "evidence_check": {"method": null, "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 25127, "completion_tokens": 1044, "cached_tokens": 256}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:39273511", "type": "paper", "label": "pmid:39273511"}, {"id": "source:pmid:39273511", "type": "manuscript", "label": "PMID 39273511 full text"}, {"id": "data:geo:PXD038165", "type": "dataset", "label": "GEO PXD038165"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:39273511", "type": "paper", "label": "pmid:39273511"}, {"id": "source:pmid:39273511", "type": "manuscript", "label": "PMID 39273511 full text"}, {"id": "data:geo:PXD038165", "type": "dataset", "label": "GEO PXD038165"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-39273511", "type": "extraction", "used": ["source:pmid:39273511"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-PXD038165", "type": "accession_resolution", "used": ["data:geo:PXD038165"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": null, "parent_hash": null, "fork_of": null, "generation": 0}, "gaps": ["asset:data:geo:PXD038165 licence not read", "asset:data:geo:PXD038165 not downloaded", "execution.not_run", "method", "operations", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "mass_spectrometry", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ll recognition. Advances in high-sensitivity mass spectrometry have enabled the detailed identification and", "of these workflows. This score, derived from LC-MS/MS datasets (ProteomeXchange identifier PXD0381"], "order_basis": "paper_text_order:331", "id": "assay:1"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": [".2. Cell Culture Conditions The Jurkat tumor cell line was grown in RPMI-1640 supplemented with L-glutamine (", "SA) while H460, CACO-2, and MDA-MB-231 tumor cell lines were grown in DMEM supplemented with L-glutamine (Gibco", "streptomycin (Gibco™, Waltham, MA, USA). All cell lines were maintained at 37 °C with 5% CO2. For cell collection, c"], "order_basis": "paper_text_order:2256", "id": "assay:2"}]}