{"id":2614,"date":"2026-09-23T12:06:24","date_gmt":"2026-09-23T12:06:24","guid":{"rendered":"https:\/\/nhdbio.com\/?p=2614"},"modified":"2026-09-23T12:06:24","modified_gmt":"2026-09-23T12:06:24","slug":"%e3%83%9a%e3%83%97%e3%83%81%e3%83%89%e3%83%9e%e3%83%83%e3%83%94%e3%83%b3%e3%82%b0%e3%81%ab%e3%81%8a%e3%81%91%e3%82%8b%e5%88%87%e6%96%ad%e8%a6%8b%e8%90%bd%e3%81%a8%e3%81%97%e3%81%ab%e5%af%be%e3%81%99","status":"publish","type":"post","link":"https:\/\/nhdbio.com\/ja\/peptide-mapping-missed-cleavages-digestion-workflow\/","title":{"rendered":"\u30da\u30d7\u30c1\u30c9\u30de\u30c3\u30d4\u30f3\u30b0\u306e\u30df\u30b9\u30c9\u30af\u30ea\u30d9\u30fc\u30b8\uff1a\u6d88\u5316\u7387\u3068\u914d\u5217\u30ab\u30d0\u30ec\u30c3\u30b8\u306e\u4e21\u7acb"},"content":{"rendered":"

Peptide mapping depends on reproducible proteolysis. A missed cleavage can spread a modification signal across several peptide forms, complicating relative quantification and comparison between runs. Yet the longest possible digestion is not automatically best: it can increase preparation-induced modifications, and a more complete cut may remove a longer peptide that formerly covered a hard-to-see sequence region.<\/p>\n

A measured comparison<\/h2>\n

Kristensen and colleagues compared three trypsin digestion workflows for monoclonal-antibody multi-attribute LC\u2013MS analysis: an optimized two-step automated<\/strong> protocol, an original one-step automated<\/strong> protocol and a conventional method. The study included eight antibody samples across reference and internal projects. The two-step protocol used 15 minutes at 75 \u00b0C followed by 30 minutes at 40 \u00b0C<\/strong> under the authors’ specified buffer and enzyme conditions. [1, Experimental Section]<\/p>\n

Across their peptide-identification comparison, the average share of identified peptides with zero missed cleavages<\/strong> was 60%<\/strong> for the two-step protocol, versus 32%<\/strong> for the one-step and 34%<\/strong> for the conventional protocol. These are shares among identified peptides in the study’s datasets, not the percentage of antibody molecules completely digested. The paper also reports slightly lower MS\/MS sequence coverage for the two-step workflow; the authors attributed that to loss of longer missed-cleavage peptides and cautioned that critical regions require inspection. [1, Results, Figures 3\u20134 and Table S5]<\/p>\n\n\n\n\n\n\n\n
Workflow in this antibody study<\/th>\nIdentified peptides with zero missed cleavages, average<\/th>\nMain interpretation<\/th>\n<\/tr>\n<\/thead>\n
Optimized two-step automated trypsin digest<\/td>\n60%<\/td>\nCleaner cleavage distribution; check lost regions.<\/td>\n<\/tr>\n
Original one-step automated digest<\/td>\n32%<\/td>\nMore identified peptides retain at least one missed cleavage.<\/td>\n<\/tr>\n
Conventional MAM digest<\/td>\n34%<\/td>\nSimilar zero-missed-cleavage share to one-step in this comparison.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

What to examine in an actual peptide map<\/h2>\n

First specify the cleavage rule and count missed-cleavage forms by sequence, not just in aggregate. Compare extracted-ion chromatograms for the fully cleaved and longer forms of a critical peptide, including modification states. Inspect sequence coverage of functional or quality-relevant regions; a global improvement can hide a local gap. Review digestion time, temperature, pH, reduction, enzyme activity and quench timing as a linked procedure. If the method will be used for trending, set acceptance criteria on relevant peptide forms and demonstrate repeatability across days and analysts.<\/p>\n

The same paper separately tested C4 and C18 reversed-phase columns for hydrophobic peptides. In one USP mAb3 comparison, carryover in the next blank for peptide H44\u201365 was 0.21% on Accucore C4 versus 12.06% on Accucore C18<\/strong>. This result illustrates that a difficult map may contain both a digestion problem and a chromatography problem. It does not mean every C4 column will outperform every C18 column: the paper’s Hypersil comparison differed, and sequence coverage must still be checked. [1, Table 1]<\/p>\n

An independent NISTmAb peptide-mapping optimization compared trypsin sources and evaluated missed cleavage, nonspecific cleavage, autolysis and total identified-peptide intensity together. The recombinant porcine candidate had three percentage points fewer missed cleavages<\/strong> than the two remaining sources in that experiment, but the authors did not find a single overwhelming winner across all criteria. That reinforces the central decision: avoid choosing a digestion condition on one global percentage alone. [2, Figure 6]<\/p>\n

Minimum map comparison record<\/h3>\n

Use the same input material and LC\u2013MS sequence when comparing digests. Archive the cleavage-form distribution by peptide<\/strong>, total sequence coverage, coverage of critical regions, modification fractions, autolysis\/background peaks and blank carryover. If a zero-missed-cleavage share improves but a required region disappears, the new procedure needs more work before adoption.<\/p>\n

Evidence limit and next step<\/h2>\n

These results come from tryptic maps of antibodies<\/strong>, not from an undigested catalog peptide and not from a NHD lot. Use the study to design a local comparison, then verify identity with the LC\u2013MS peptide guide<\/a> and document the map’s sequence coverage and modification assignments. A clean peak count alone is not complete structural evidence.<\/p>\n

Primary source and claim trail<\/h2>\n
    \n
  1. Kristensen DB, et al. Optimized Multi-Attribute Method Workflow Addressing Missed Cleavages and Chromatographic Tailing\/Carry-Over of Hydrophobic Peptides<\/em><\/a>. Analytical Chemistry<\/em>. 2022;94:17195\u201317204. DOI 10.1021\/acs.analchem.2c03820<\/a>, PMID 36346901. Locations:<\/strong> Experimental Section \u2192 \u201cOptimized Two-Step SMART Digestion Protocol\u201d (time\/temperature); Results \u2192 \u201cOptimized Two-Step SMART Digest Protocol,\u201d Figures 3\u20134 and Table S5 (60\/32\/34% and coverage caveat); Table 1 (C4\/C18 H44\u201365 carryover). Primary full text inspected.<\/li>\n
  2. Mouchahoir T, Schiel JE. Development of an LC-MS\/MS peptide mapping protocol for the NISTmAb<\/em><\/a>. Analytical and Bioanalytical Chemistry<\/em>. 2018. Location:<\/strong> Results, Figure 6 and its discussion (trypsin-source comparison and three-percentage-point missed-cleavage difference). Independent primary method study; not pooled with [1].<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Peptide mapping depends on reproducible proteolysis. A missed cleavage can spread a modification signal across several peptide forms, complicating relative quantification and comparison between runs. Yet the longest possible digestion is not automatically best: it can increase preparation-induced modifications, and a more complete cut may remove a longer peptide that formerly covered a hard-to-see sequence region. A measured comparison Kristensen and colleagues compared three trypsin digestion workflows for monoclonal-antibody multi-attribute LC\u2013MS analysis: an optimized two-step automated protocol, an original one-step automated protocol and a conventional method. The study included eight antibody samples across reference and internal projects. The two-step protocol used 15 minutes at 75 \u00b0C followed by 30 minutes […]<\/p>\n","protected":false},"author":1,"featured_media":2613,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"pim_family_ids":"","pim_article_type":"","pim_evidence_level":"","pim_reviewer":"Codex AI-assisted editorial review","pim_reviewed_date":"2026-09-23T19:26:53+08:00","pim_editorial_note":"","pim_review_status":"reviewed","pim_review_reason":"English source and numeric audit, independent seven-language and 135 numeric-exception AI reviews, 70\/70 authenticated localized previews with 2,607\/2,607 body nodes visible, generated-image provenance and visual review, internal-link and private-draft dedup checks completed. Author is existing NHD Technical Team WP user #1. Prepublication SEO fields and expected slug checked; verify public canonical, hreflang, schema, robots and sitemap immediately after this post publishes, and conditionally roll back on failure. Backup is listed in All-in-One WP Migration; full restore was not rehearsed. No human or native-language review was performed.","pim_creation_method":"AI-assisted editorial draft; independent Codex source, image and seven-language review; human professional review not claimed","pim_sources":"[{\"title\":\"Kristensen DB, et al. Optimized Multi-Attribute Method Workflow Addressing Missed Cleavages and Chromatographic Tailing\/Carry-Over of Hydrophobic Peptides. Analytical Chemistry. 2022;94:17195\u201317204.\",\"url\":\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC9753059\/\",\"note\":\"Source 1. Experimental Section \u2192 \u201cOptimized Two-Step SMART Digestion Protocol\u201d (time\/temperature); Results \u2192 \u201cOptimized Two-Step SMART Digest Protocol,\u201d Figures 3\u20134 and Table S5 (60\/32\/34% and coverage caveat); Table 1 (C4\/C18 H44\"},{\"title\":\"Mouchahoir T, Schiel JE. Development of an LC-MS\/MS peptide mapping protocol for the NISTmAb. Analytical and Bioanalytical Chemistry. 2018. Location: Results, Figure 6 and its discussion (trypsin-source comparison and th\",\"url\":\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC5830484\/\",\"note\":\"Source 2. Results, Figure 6 and its discussion (trypsin-source comparison and three-percentage-point missed-cleavage difference). Independent primary method study; not pooled with [1].\"}]","footnotes":""},"categories":[1],"tags":[],"class_list":["post-2614","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\nMissed Cleavages in Peptide Mapping: Check the Digestion, Then the Coverage<\/title>\n<meta name=\"description\" content=\"A multi-attribute method study found 60% zero-missed-cleavage peptides with a two-step digest versus 32\u201334% in comparators. 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