Evidence map›Paper›PMID 34391888›Full record

ArticleMolecular & cellular proteomics : MCP2021

Optimized Liquid and Gas Phase Fractionation Increases HLA-Peptidome Coverage for Primary Cell and Tissue Samples.

Susan Klaeger, Annie Apffel, Karl R Clauser, Siranush Sarkizova, Giacomo Oliveira, Suzanna Rachimi, Phuong M Le, Anna Tarren, Vipheaviny Chea, Jennifer G Abelin and 7 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Ribosome Profiling for Novel Antigen Discovery.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
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  15. Article
  16. Review
  17. Article
  18. Article
  19. TOFNature communications · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Susan KlaegerBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. Electronic address: sklaeger@broadinstitute.org.
Annie ApffelBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Karl R ClauserBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Siranush SarkizovaBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Giacomo OliveiraDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Suzanna RachimiBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Phuong M LeTranslational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Anna TarrenTranslational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Vipheaviny CheaTranslational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Jennifer G AbelinBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
David A BraunBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Patrick A OttBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Hasmik KeshishianBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Nir HacohenBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Massachusetts General Hospital Cancer Center, Boston, Massachusetts, USA.
Derin B KeskinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Health Informatics Lab, Metropolitan College, Boston University, Boston, Massachusetts, USA.
Catherine J WuBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Steven A CarrBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. Electronic address: scarr@broad.mit.edu.

Funding

Treating the P13-Kinase/AKTP50CA101942 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI David McDermott · 2003 to 2026
$53.4M
Cancer Immune Monitoring and Analysis CenterU24CA224331 · NCI · DANA-FARBER CANCER INST · PI FRANK S HODI, Catherine Ju-Ying Wu · 2017 to 2026
$18.4M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Personal tumor neoantigens for immunity against chronic lymphocytic leukemiaR01CA155010 · NCI · DANA-FARBER CANCER INST · PI Catherine Ju-Ying Wu · 2011 to 2026
$9.6M
MICROSCALED PROTEOGENOMICS FOR CANCER CLINICAL TRIALSU01CA214125 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ANURAG, MEENAKSHI, CARR, STEVEN A · 2017 to 2021
$7.0M
Center of Excellence for High Throughput Proteogenomic CharacterizationU24CA210986 · NCI · BROAD INSTITUTE, INC. · PI CARR, STEVEN A, GILLETTE, MICHAEL A · 2016 to 2020
$6.4M
Dissecting neoepitope-specific clonal T cell populations in advanced melanoma patients vaccinated with personal neoantigen peptides partnered with local and systemic immune checkpoint InhibitionR01CA229261 · NCI · DANA-FARBER CANCER INST · PI Patrick Alexander Ott · 2018 to 2026
$3.8M
Physical detection of HLA-C binding peptides to identify and predict immunogenic personal neoepitopes for improving cancer vaccinesR21CA216772 · NCI · DANA-FARBER CANCER INST · PI KESKIN, DERIN B · 2018 to 2019
$420k
NCI NIH HHS P50 CA101942NCI NIH HHS R01 CA155010NCI NIH HHS R01 CA229261NCI NIH HHS R21 CA216772NCI NIH HHS U01 CA214125NCI NIH HHS U24 CA210986NCI NIH HHS U24 CA224331NHGRI NIH HHS T32 HG002295
6 · The paper itself

Abstract

MS is the most effective method to directly identify peptides presented on human leukocyte antigen (HLA) molecules. However, current standard approaches often use 500 million or more cells as input to achieve high coverage of the immunopeptidome, and therefore, these methods are not compatible with the often limited amounts of tissue available from clinical tumor samples. Here, we evaluated microscaled basic reversed-phase fractionation to separate HLA peptide samples offline followed by ion mobility coupled to LC-MS/MS for analysis. The combination of these two separation methods enabled identification of 20% to 50% more peptides compared with samples analyzed without either prior fractionation or use of ion mobility alone. We demonstrate coverage of HLA immunopeptidomes with up to 8107 distinct peptides starting with as few as 100 million cells. The increased sensitivity obtained using our methods can provide data useful to improve HLA-binding prediction algorithms as well as to enable detection of clinically relevant epitopes such as neoantigens.

Indexed as

Antigens, NeoplasmCell LineChemical FractionationChromatography, LiquidHistocompatibility Antigens Class IHumansIon Mobility SpectrometryNeoplasmsPeptidesTandem Mass SpectrometryAntigens, NeoplasmHistocompatibility Antigens Class IPeptidesbasic reversed-phase fractionationFAIMSHLAimmunopeptidomicsion mobility

Identifiers

PMID34391888
PMCPMC8724927

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.