ArticleMethods in molecular biology (Clifton, N.J.)2018
Quantitative Proteomic Analysis of Mass Limited Tissue Samples for Spatially Resolved Tissue Profiling.
Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Integrating Low-Voltage Microfluidics With On-Chip Electrospray Ionization for Miniaturized Protein Analysis.Small methods · 2026Review
- SP1-Mediated Glycolytic Reprogramming Promotes Tumorigenesis and Progression in Pancreatic Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Determining protein polarization proteome-wide using physical dissection of individual Stentor coeruleus cells.Current biology : CB · 2022Article
- Repetitive diacetyl vapor exposure promotes ubiquitin proteasome stress and precedes bronchiolitis obliterans pathology.Archives of toxicology · 2021Article
- Integration of transcriptomic and proteomic data identifies biological functions in cell populations from human infant lung.American journal of physiology. Lung cellular and molecular physiology · 2019Article
- Micropuncture of Bowman's Space in Mice Facilitated by 2 Photon Microscopy.Journal of visualized experiments : JoVE · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Traditionally, proteomic studies have been carried out on whole tissues or organs enabling the profiling of thousands of proteins within a single LC-MS analysis. A disadvantage of this approach is that proteomes generated from whole tissues are an "average" that represents a blend of cell types and distinct anatomical regions which can obscure important biological phenomena. Laser capture microdissection (LCM) is an elegant method that allows tissue features of interest, as small as a single cell, to be identified and isolated for downstream analysis. Herein we describe an approach that utilizes an immobilized enzyme reactor (IMER) coupled directly to nanoLC-MS/MS for highly sensitive, automated, quantitative proteomic analysis of the microscopic tissue specimens generated by LCM.
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Registered trials
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