Source 1primary paper2024International Journal of Molecular Sciences
Toolkit/H3K36me3 cell-free chromatin immunoprecipitation sequencing
H3K36me3 cell-free chromatin immunoprecipitation sequencing
Also known as: cfChIP-seq
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
H3K36me3 cell-free chromatin immunoprecipitation sequencing (cfChIP-seq) is a plasma-based assay that establishes a personal gene expression profile from cell-free chromatin. In the cited study context, it functions as a reference enrichment assay for active genes in liquid biopsy samples.
Usefulness & Problems
Why this is useful
This assay is useful for inferring active gene expression programs from plasma-derived cell-free chromatin without direct tissue sampling. The cited work uses H3K36me3 cfChIP-seq as a benchmark for enrichment of highly expressed genes in liquid biopsy analyses.
Problem solved
It addresses the problem of obtaining gene expression-related information from blood-based cell-free material. Specifically, it provides a reference method for identifying active genes in plasma samples through H3K36me3-associated chromatin enrichment.
Problem links
Need better screening or enrichment leverage
DerivedH3K36me3 cell-free chromatin immunoprecipitation sequencing (cfChIP-seq) is a plasma-based assay that establishes a personal gene expression profile from cell-free chromatin. In the cited study context, it functions as a reference enrichment assay for active genes in liquid biopsy samples.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Target processes
selectionImplementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
The assay is performed on plasma and uses immunoprecipitation of cell-free chromatin marked by H3K36me3 followed by sequencing-based readout. The supplied evidence does not provide details on antibody reagents, library preparation, sequencing depth, or bioinformatic processing.
The provided evidence does not report analytical sensitivity, specificity, input requirements, reproducibility, or performance across diseases and cohorts. The claims about fragment length and end motifs are associative and come from a single cited study context rather than direct broad validation of the assay itself.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
Distinct GC-rich fragment end motifs are enriched after cfChIP.
Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Distinct GC-rich fragment end motifs are enriched after cfChIP.
Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Distinct GC-rich fragment end motifs are enriched after cfChIP.
Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Distinct GC-rich fragment end motifs are enriched after cfChIP.
Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Distinct GC-rich fragment end motifs are enriched after cfChIP.
Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Distinct GC-rich fragment end motifs are enriched after cfChIP.
Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Distinct GC-rich fragment end motifs are enriched after cfChIP.
Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.
The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.
The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.
The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.
The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.
The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.
The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.
The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.
Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.
Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.
Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.
Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.
Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.
Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.
Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.
An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.
An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.
An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.
An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.
An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.
An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.
An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Approval Evidence
1 source3 linked approval claimsfirst-pass slug h3k36me3-cell-free-chromatin-immunoprecipitation-sequencing
A personal gene expression profile was established from plasma using H3K36me3 cell-free chromatin immunoprecipitation sequencing (cfChIP-seq).
Source:
associationsupports
Distinct GC-rich fragment end motifs are enriched after cfChIP.
Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Source:
integration benefitsupports
Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.
Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
Source:
method performancesupports
In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.
An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
Source:
Comparisons
Source-backed strengths
The supplied evidence shows that H3K36me3 cfChIP-seq can establish a personal gene expression profile from plasma. In the associated study, cfChIP-enriched material also showed distinct GC-rich fragment end motifs, and the assay context supported enrichment of highly expressed genes.
Compared with open-source microplate reader
H3K36me3 cell-free chromatin immunoprecipitation sequencing and open-source microplate reader address a similar problem space because they share selection.
Shared frame: same top-level item type; shared target processes: selection
Strengths here: looks easier to implement in practice.
Compared with STED microscopy
H3K36me3 cell-free chromatin immunoprecipitation sequencing and STED microscopy address a similar problem space because they share selection.
Shared frame: same top-level item type; shared target processes: selection
Compared with touchscreen-equipped operant conditioning chambers
H3K36me3 cell-free chromatin immunoprecipitation sequencing and touchscreen-equipped operant conditioning chambers address a similar problem space because they share selection.
Shared frame: same top-level item type; shared target processes: selection
Ranked Citations
- 1.