找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: SILAC; Methods and Protocol Jose L. Luque-Garcia Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to Spri

[復(fù)制鏈接]
樓主: microbe
31#
發(fā)表于 2025-3-26 22:35:20 | 只看該作者
Heavy Methyl SILAC Metabolic Labeling of Human Cell Lines for High-Confidence Identification of R/Kh-confidence identification of in vivo methyl-peptides by MS-based proteomics. We provide a general protocol that covers the steps of heavy methyl labeling of cultured cells, protein sample preparation, LC-MS/MS analysis, and downstream computational analysis of the acquired MS data.
32#
發(fā)表于 2025-3-27 02:12:39 | 只看該作者
SILAC-Based Quantitative Phosphoproteomics in Yeast,e..The combination of SILAC-based quantitation with phosphopeptides enrichment by TiO. in a batch that enables measurement of protein posttranslational modifications is a powerful application to analyze the global phosphoproteome for studies in signaling pathways.
33#
發(fā)表于 2025-3-27 06:08:39 | 只看該作者
34#
發(fā)表于 2025-3-27 11:39:47 | 只看該作者
SILAC-Based Quantitative Proteomic Analysis of Drosophila Embryos,cy of over 92%. In combination with genetic selection markers, this method permits the quantification of translational and posttranslational changes in embryos mutant for developmental and disease-related genes.
35#
發(fā)表于 2025-3-27 16:49:46 | 只看該作者
Use of Nuclear and Chromatin Enrichment Procedures for Quantitation of Yeast DNA Replication Protei)-based quantitative proteomics. Here I describe a detailed methodology for SILAC labeling of budding yeast ., then nuclear isolation and chromatin preparation from synchronized yeast cells, prior to quantitative proteomic analysis of DNA replication proteins.
36#
發(fā)表于 2025-3-27 21:32:55 | 只看該作者
Combination of Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) and Substrate Trappine these classes of proteins in affinity-purified mixtures. Here we describe the use of stable isotope labeling by amino acids in cell culture, substrate trapping, and mass spectrometry to enable the objective identification of the components of affinity-purified protein complexes.
37#
發(fā)表于 2025-3-28 01:22:45 | 只看該作者
Dynamic SILAC to Determine Protein Turnover in Neurons and Glia,fferent rates depending on various factors including cell type, subcellular localization, cellular environment, and neuronal activity. Here we describe a workflow for the analysis of protein synthesis, degradation, and turnover in primary cultured rat neurons and glia using dynamic/pulsed SILAC and mass spectrometry.
38#
發(fā)表于 2025-3-28 03:08:30 | 只看該作者
39#
發(fā)表于 2025-3-28 09:22:22 | 只看該作者
40#
發(fā)表于 2025-3-28 13:59:51 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-17 18:31
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
南木林县| 庆城县| 拉萨市| 巴彦县| 芒康县| 南召县| 海淀区| 大城县| 兴业县| 南昌市| 青铜峡市| 兴山县| 吴桥县| 鱼台县| 大足县| 孟连| 苍溪县| 洛南县| 福清市| 卓尼县| 伊吾县| 新源县| 广饶县| 五华县| 凉山| 拜泉县| 铅山县| 江陵县| 隆子县| 淮安市| 平潭县| 菏泽市| 从化市| 凭祥市| 江川县| 孟连| 美姑县| 满城县| 崇文区| 吉木萨尔县| 邯郸市|