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產(chǎn)品畫冊電子訊報期刊文獻(xiàn) 技術(shù)筆記常見問題實(shí)驗(yàn)方案展會畫報使用說明

期刊文獻(xiàn)

Karl K. Krull, Arlene Kühn, et al.

Deep learning-based proteomics enables accurate classification of bulk and single-cell samples

Pre – Published in BioRxiv, February 07, 2024.
Khan S, Conover R, Asthagiri AR, Slavov N.

Dynamics of single-cell protein covariation during epithelial–mesenchymal transition

J Proteome Res. 2024
Leduc, A., Khoury, L., Cantlon, J. et al.

Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP

Nat Protoc 19, 3750–3776 (2024)
Wahle, Maria et al.

IMBAS-MS Discovers Organ-Specific HLA Peptide Patterns in Plasma

Molecular & Cellular Proteomics, Volume 23, Issue 1, 100689
Gurung, H.R., Heidersbach, A.J., Darwish, M. et al

Systematic discovery of neoepitope–HLA pairs for neoantigens shared among patients and tumor types

Nat Biotechnol 42, 1107–1117 (2024)
Antunes, A.V., Shahinas, M., Swale, C. et al.

In vitro production of cat-restricted Toxoplasma pre-sexual stages

Nature 625, 366–376 (2024)
J. A. Bubis; T. N. Arrey; et al.

Challenging the Astral mass analyzer – going beyond 5200 proteins per single-cell at unseen quantitative accuracy to study cellular heterogeneity

BioRxiv – Feb 1, 2024
C. Ctortecka; N. M. Clark; B. Boyle; A. Seth; D. R

Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications

BioRxiv – January 22, 2024
Patricia Bortel, Ilaria Piga, Claire Koenig, Chris

Systematic optimization of automated phosphopeptide enrichment for high-sensitivity phosphoproteomics

BioRxiv – November 23, 2023
Wartewig, T., Daniels, J., Schulz, M. et al.

PD-1 instructs a tumor-suppressive metabolic program that restricts glycolysis and restrains AP-1 activity in T cell lymphoma

Nat Cancer 4, 1508–1525 (2023).

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