Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Proteomics01:33

Proteomics

9.8K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
9.8K
Ribosome Profiling02:24

Ribosome Profiling

4.2K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.2K
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

3.3K
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
3.3K
Parallel Processing01:20

Parallel Processing

719
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
719
Information Processing Approach01:30

Information Processing Approach

569
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
569
Processes of Self-Presentation01:29

Processes of Self-Presentation

250
Effective self-presentation is a central component of social interaction and identity construction. It relies on the dynamic processes of defining the situation and engaging in self-disclosure. These mechanisms help individuals navigate social context expectations and manage how others perceive them, fostering mutual understanding and relationship development.Defining the SituationSocial situations are shaped by collectively understood frames—a set of widely understood rules or...
250

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

spammR: an R package designed for analysis and integration of spatial multi-omic measurements.

Bioinformatics advances·2026
Same author

Pharmacokinetic Studies of Amyloid-Targeting Bis(styryl)benzene Agents for Alzheimer's Disease.

ACS chemical neuroscience·2026
Same author

Repurposing the liquid-based Pap test for the detection of ovarian cancer protein biomarkers.

Clinical proteomics·2026
Same author

Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets.

Nature cancer·2026
Same author

Increase in Prevalence of Self-Reported High Blood Cholesterol Among Adults, United States, 2019-2023.

Preventing chronic disease·2026
Same author

Pyridinophane Ligands: An Attractive Chelator Platform for Mn-Based Imaging Agents.

Journal of medicinal chemistry·2026

Related Experiment Video

Updated: Feb 2, 2026

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
14:51

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

6.1K

Benchtop-compatible sample processing workflow for proteome profiling of < 100 mammalian cells.

Kerui Xu1, Yiran Liang2, Paul D Piehowski3

  • 1W.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA.

Analytical and Bioanalytical Chemistry
|November 22, 2018
PubMed
Summary

Microdroplet processing in one pot for trace samples (μPOTS) enables deep proteomic analysis from minimal cell or tissue samples. This accessible platform reduces equipment costs, facilitating wider adoption of nanoproteomics workflows.

Keywords:
MicrofluidicsProteomicsSmall sampleThin tissue sections

More Related Videos

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot
10:12

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

Published on: October 28, 2021

4.3K
"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome
06:31

"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome

Published on: March 24, 2023

3.1K

Related Experiment Videos

Last Updated: Feb 2, 2026

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
14:51

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

6.1K
Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot
10:12

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

Published on: October 28, 2021

4.3K
"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome
06:31

"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome

Published on: March 24, 2023

3.1K

Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biotechnology

Background:

  • High-resolution spatial mapping of protein expression and sub-group heterogeneity requires proteomics on small samples.
  • Analyte loss during preparation and analysis hinders in-depth profiling of low-nanogram protein samples.
  • Existing nanodroplet processing (nanoPOTS) offers sensitivity but requires specialized, costly equipment.

Purpose of the Study:

  • To develop an accessible nanoproteomics platform using commercially available micropipettes.
  • To evaluate the performance of microdroplet processing in one pot for trace samples (μPOTS) for analyzing minute biological samples.
  • To preserve the benefits of nanodroplet processing while reducing equipment complexity and cost.

Main Methods:

  • Developed the microdroplet processing in one pot for trace samples (μPOTS) platform using 10x larger reagent volumes than nanoPOTS.
  • Utilized μPOTS with ultrasensitive LC-MS for analyzing trace amounts of cultured cells and tissue thin sections.
  • Characterized protein identification depth and reproducibility across different sample types.

Main Results:

  • Identified approximately 1800 unique proteins from ~25 cultured HeLa cells (4 ng total protein).
  • Identified approximately 1200 unique proteins from 50 μm square mouse liver tissue thin sections.
  • Achieved high reproducibility in protein identification for both cell and tissue samples.

Conclusions:

  • The μPOTS platform successfully enables deep proteomic profiling of trace samples using commercially available micropipettes.
  • Reduced equipment requirements of μPOTS facilitate broader dissemination of nanoproteomics.
  • This approach democratizes high-resolution proteomic analysis for diverse biological research.