Toolkit/chromatin immunoprecipitation sequencing

chromatin immunoprecipitation sequencing

Assay Method·Research·Since 2025

Also known as: ChIP-seq, ChIP-Seq analysis

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

Chromatin immunoprecipitation sequencing (ChIP-seq) is an assay method that combines chromatin immunoprecipitation with sequencing-based genomic localization to map protein-associated genomic regions. In the cited study, it was used to identify genome-wide ZFHX3-binding sites in suprachiasmatic nucleus chromatin, revealing occupancy concentrated near transcription start sites and co-localization with known histone modifications.

Usefulness & Problems

Why this is useful

This assay is useful for defining genome-wide chromatin occupancy patterns of DNA-associated factors in native chromatin. In the provided evidence, it enabled localization of ZFHX3 binding in the suprachiasmatic nucleus and related those sites to promoter-proximal regions and histone-marked chromatin states.

Problem solved

ChIP-seq addresses the problem of determining where a chromatin-associated factor binds across the genome rather than at isolated candidate loci. Here, it solved the specific problem of mapping ZFHX3 occupancy in SCN chromatin and assessing its positional relationship to transcription start sites and histone modifications.

Problem links

Fundamental Biomolecular Actors in Cells Remain Largely Invisible

Gap mapView gap

ChIP-seq can make a subset of otherwise hard-to-observe biomolecular interactions visible by mapping protein-associated genomic regions genome-wide. This is relevant to molecular invisibility, but only for chromatin-associated factors rather than the broader protein, lipid, and metabolite landscape highlighted in the gap.

identifying genome-wide occupancy of a transcription factor in SCN chromatin

Literature

It addresses the previously poorly defined genomic localization of ZFHX3 in the SCN.

Source:

It addresses the previously poorly defined genomic localization of ZFHX3 in the SCN.

identifying genome-wide ZFHX3 occupancy sites

Literature

It addresses the previously poorly defined genomic localization of ZFHX3 in the SCN.

Source:

It addresses the previously poorly defined genomic localization of ZFHX3 in the SCN.

provides chromatin occupancy information that complements functional testing

Literature

It provides occupancy information in chromatin that can be paired with SOSHI-seq functional testing.

Source:

It provides occupancy information in chromatin that can be paired with SOSHI-seq functional testing.

Published Workflows

Objective: Define how ZFHX3 affects the mouse SCN at genomic and transcriptomic levels by combining genome-wide binding-site mapping with time-series transcriptome profiling after conditional loss of ZFHX3.

Why it works: The workflow pairs ChIP-seq to localize ZFHX3 binding in SCN chromatin with RNA-seq across six times-of-day to test functional consequences of ZFHX3 loss on daily transcriptional programs.

ZFHX3 occupancy near transcription start sitespartnership with CLOCK and BMAL1regulation of TTFL genes and clock-controlled geneschromatin immunoprecipitation sequencingtime-series RNA sequencingcontrol versus conditional null comparison

Stages

  1. 1.
    Genome-wide mapping of ZFHX3-binding sites in SCN chromatin(functional_characterization)

    This stage establishes where ZFHX3 binds genome-wide in the SCN before testing transcriptional consequences.

    Selection: Map genomic localization of ZFHX3-binding sites in SCN chromatin.

  2. 2.
    Time-series transcriptomic comparison of control and ZFHX3-conditional null SCN(confirmatory_validation)

    This stage tests whether the genomic occupancy of ZFHX3 corresponds to functional effects on daily SCN gene expression.

    Selection: Test for function by comparing SCN transcriptional profiles of control and ZFHX3-conditional null mutants at six distinct times-of-day.

Objective: Develop and apply a high-throughput sequencing-based assay to functionally test putative nuclear hormone receptor response elements and complement ChIP-Seq-based occupancy analysis.

Why it works: The abstract states that SOSHI-seq adapts STARR-seq to test thousands of synthetic DNA sequences for hormone-response element activity, enabling functional readout that complements chromatin occupancy information from ChIP-Seq.

hormone-response element activitynuclear receptor-dependent functional occupancy in chromatinSTARR-seq adaptationsequencing-based screeningcomplementary use with ChIP-Seq

Stages

  1. 1.
    Synthetic response-element library testing(broad_screen)

    This stage provides high-throughput functional testing across many candidate synthetic sequences.

    Selection: capacity of thousands of synthetic DNA sequences to act as hormone-response elements

  2. 2.
    Comparison with ChIP-Seq occupancy analysis(confirmatory_validation)

    The abstract states SOSHI-seq is a suitable complement to ChIP-Seq analysis, indicating a downstream interpretive stage that combines functional assay output with chromatin occupancy information.

    Selection: identify functional response elements occupied by nuclear receptors in chromatin

Objective: Define how ZFHX3 affects the suprachiasmatic nucleus at genomic and transcriptomic levels by mapping ZFHX3 binding sites and testing functional consequences of conditional ZFHX3 loss across the day.

Why it works: The workflow combines genomic localization of ZFHX3 binding with time-resolved transcriptome profiling after conditional loss of ZFHX3, allowing the authors to connect occupancy patterns to functional transcriptional consequences in the SCN.

promoter-proximal ZFHX3 occupancypartnership with CLOCK and BMAL1regulation of TTFL genes and clock-controlled genesChIP-seqRNA-seq

Stages

  1. 1.
    Map ZFHX3 genomic localization in SCN chromatin(functional_characterization)

    This stage establishes where ZFHX3 binds in SCN chromatin before testing functional consequences.

    Selection: genomic localization of ZFHX3 binding sites

  2. 2.
    Test functional transcriptomic consequences across time of day(secondary_characterization)

    This stage tests whether ZFHX3 loss changes SCN gene expression and daily rhythmic transcription after binding-site mapping.

    Selection: differences in SCN transcriptional profiles between control and ZFHX3-conditional null mutants across six times-of-day

Steps

  1. 1.
    Perform ChIP-seq on SCN chromatin to map ZFHX3 binding sitesassay used to map genomic localization

    Determine genome-wide localization of ZFHX3 binding sites in SCN chromatin.

    The abstract presents genomic localization mapping first, before functional testing, to define where ZFHX3 binds.

  2. 2.
    Perform RNA-seq at six distinct times-of-day on control and ZFHX3-conditional null SCN samplesassay used for functional transcriptome comparison

    Test functional consequences of ZFHX3 loss on SCN transcriptional profiles and circadian expression.

    The abstract explicitly states this was done to test for function after mapping genomic localization.

Taxonomy & Function

Primary hierarchy

Technique Branch

Method: A concrete measurement method used to characterize an engineered system.

Target processes

localizationtranscription

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor

The evidence indicates use on suprachiasmatic nucleus chromatin to profile ZFHX3 occupancy genome-wide. Beyond the core steps of chromatin immunoprecipitation followed by sequencing-based genomic localization, the provided source does not specify construct design, reagents, or experimental parameters.

The supplied evidence is limited to a single reported application in SCN chromatin for ZFHX3. No details are provided here on antibody performance, sequencing depth, resolution, controls, reproducibility, or validation in additional tissues or factors.

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1application scopesupports2025Source 1needs review

Using thyroid hormone nuclear receptors as an example, SOSHI-seq is a suitable complement to ChIP-Seq analysis for identifying at genome-wide scale the functional response elements occupied by nuclear receptors in chromatin.

analysis scale genome-wide
Claim 2assay capabilitysupports2025Source 1needs review

SOSHI-seq allows testing the capacity of thousands of synthetic DNA sequences to act as hormone-response elements.

sequence count scale thousands
Claim 3assay findingsupports2025Source 3needs review

ChIP-seq mapped genome-wide ZFHX3-binding sites in SCN chromatin, with occupancy predominantly around gene transcription start sites and co-localization with known histone modifications.

Claim 4assay findingsupports2025Source 3needs review

ChIP-seq mapped genome-wide ZFHX3-binding sites in SCN chromatin, with occupancy predominantly around gene transcription start sites and co-localization with known histone modifications.

Claim 5assay findingsupports2025Source 3needs review

ChIP-seq mapped genome-wide ZFHX3-binding sites in SCN chromatin, with occupancy predominantly around gene transcription start sites and co-localization with known histone modifications.

Claim 6assay findingsupports2025Source 3needs review

ChIP-seq mapped genome-wide ZFHX3-binding sites in SCN chromatin, with occupancy predominantly around gene transcription start sites and co-localization with known histone modifications.

Claim 7assay findingsupports2025Source 3needs review

ChIP-seq mapped genome-wide ZFHX3-binding sites in SCN chromatin, with occupancy predominantly around gene transcription start sites and co-localization with known histone modifications.

Claim 8assay findingsupports2025Source 3needs review

ChIP-seq mapped genome-wide ZFHX3-binding sites in SCN chromatin, with occupancy predominantly around gene transcription start sites and co-localization with known histone modifications.

Claim 9assay findingsupports2025Source 3needs review

ChIP-seq mapped genome-wide ZFHX3-binding sites in SCN chromatin, with occupancy predominantly around gene transcription start sites and co-localization with known histone modifications.

Claim 10method lineagesupports2025Source 1needs review

SOSHI-seq is an adaptation of the STARR-seq method.

Claim 11perturbation effectsupports2025Source 3needs review

Adult conditional loss of ZFHX3 dramatically alters the SCN transcriptome, including neuropeptide neurotransmitter system transcripts and attenuation of daily Bmal1 oscillation.

Claim 12perturbation effectsupports2025Source 3needs review

Adult conditional loss of ZFHX3 dramatically alters the SCN transcriptome, including neuropeptide neurotransmitter system transcripts and attenuation of daily Bmal1 oscillation.

Claim 13perturbation effectsupports2025Source 3needs review

Adult conditional loss of ZFHX3 dramatically alters the SCN transcriptome, including neuropeptide neurotransmitter system transcripts and attenuation of daily Bmal1 oscillation.

Claim 14perturbation effectsupports2025Source 3needs review

Adult conditional loss of ZFHX3 dramatically alters the SCN transcriptome, including neuropeptide neurotransmitter system transcripts and attenuation of daily Bmal1 oscillation.

Claim 15perturbation effectsupports2025Source 3needs review

Adult conditional loss of ZFHX3 dramatically alters the SCN transcriptome, including neuropeptide neurotransmitter system transcripts and attenuation of daily Bmal1 oscillation.

Claim 16perturbation effectsupports2025Source 3needs review

Adult conditional loss of ZFHX3 dramatically alters the SCN transcriptome, including neuropeptide neurotransmitter system transcripts and attenuation of daily Bmal1 oscillation.

Claim 17perturbation effectsupports2025Source 3needs review

Adult conditional loss of ZFHX3 dramatically alters the SCN transcriptome, including neuropeptide neurotransmitter system transcripts and attenuation of daily Bmal1 oscillation.

Claim 18tool descriptionsupports2025Source 1needs review

SOSHI-seq is a cheap, rapid, and versatile assay.

Approval Evidence

3 sources2 linked approval claimsfirst-pass slugs chip-seq, chromatin-immunoprecipitation-sequencing
SOSHI-seq is a suitable complement to ChIP-Seq analysis to identify at genome-wide scale the functional response elements occupied by nuclear receptors in chromatin.

Source:

Here, we used chromatin immunoprecipitation sequencing to map the genomic localization of ZFHX3-binding sites in SCN chromatin.

Source:

Here, we used chromatin immunoprecipitation sequencing (ChIP-seq) to map the genomic localization of ZFHX3 binding sites in SCN chromatin.

Source:

application scopesupports

Using thyroid hormone nuclear receptors as an example, SOSHI-seq is a suitable complement to ChIP-Seq analysis for identifying at genome-wide scale the functional response elements occupied by nuclear receptors in chromatin.

Source:

assay findingsupports

ChIP-seq mapped genome-wide ZFHX3-binding sites in SCN chromatin, with occupancy predominantly around gene transcription start sites and co-localization with known histone modifications.

Source:

Comparisons

Source-stated alternatives

The paper pairs ChIP-seq with time-series RNA sequencing as a functional complement rather than presenting an alternative binding assay.; The paper frames SOSHI-seq as complementary to ChIP-Seq rather than a direct replacement.; The abstract contrasts ChIP-seq with RNA sequencing, which was used for functional transcriptome readout rather than binding-site mapping.

Source:

The paper pairs ChIP-seq with time-series RNA sequencing as a functional complement rather than presenting an alternative binding assay.

Source:

The paper frames SOSHI-seq as complementary to ChIP-Seq rather than a direct replacement.

Source:

The abstract contrasts ChIP-seq with RNA sequencing, which was used for functional transcriptome readout rather than binding-site mapping.

Source-backed strengths

The cited application provided genome-wide localization of ZFHX3-binding sites in SCN chromatin. It also resolved biologically informative patterns, including enrichment around gene transcription start sites and co-localization with known histone modifications.

The paper pairs ChIP-seq with time-series RNA sequencing as a functional complement rather than presenting an alternative binding assay.; The paper frames SOSHI-seq as complementary to ChIP-Seq rather than a direct replacement.; The abstract contrasts ChIP-seq with RNA sequencing, which was used for functional transcriptome readout rather than binding-site mapping.

Shared frame: source-stated alternative in extracted literature

Strengths here: provides genome-wide localization of binding sites; captures occupancy in chromatin context.

Relative tradeoffs: the abstract does not state whether binding implies direct functional regulation; the abstract implies ChIP-Seq alone is not sufficient to identify which occupied response elements are functional.

Source:

The paper pairs ChIP-seq with time-series RNA sequencing as a functional complement rather than presenting an alternative binding assay.

Source:

The paper frames SOSHI-seq as complementary to ChIP-Seq rather than a direct replacement.

Source:

The abstract contrasts ChIP-seq with RNA sequencing, which was used for functional transcriptome readout rather than binding-site mapping.

Compared with RNA sequencing

The paper pairs ChIP-seq with time-series RNA sequencing as a functional complement rather than presenting an alternative binding assay.; The abstract contrasts ChIP-seq with RNA sequencing, which was used for functional transcriptome readout rather than binding-site mapping.

Shared frame: source-stated alternative in extracted literature

Strengths here: provides genome-wide localization of binding sites; captures occupancy in chromatin context.

Relative tradeoffs: the abstract does not state whether binding implies direct functional regulation; the abstract implies ChIP-Seq alone is not sufficient to identify which occupied response elements are functional.

Source:

The paper pairs ChIP-seq with time-series RNA sequencing as a functional complement rather than presenting an alternative binding assay.

Source:

The abstract contrasts ChIP-seq with RNA sequencing, which was used for functional transcriptome readout rather than binding-site mapping.

Compared with SOSHI-seq

The paper frames SOSHI-seq as complementary to ChIP-Seq rather than a direct replacement.

Shared frame: source-stated alternative in extracted literature

Strengths here: provides genome-wide localization of binding sites; captures occupancy in chromatin context.

Relative tradeoffs: the abstract does not state whether binding implies direct functional regulation; the abstract implies ChIP-Seq alone is not sufficient to identify which occupied response elements are functional.

Source:

The paper frames SOSHI-seq as complementary to ChIP-Seq rather than a direct replacement.

Ranked Citations

  1. 1.

    Extracted from this source document.

  2. 2.
    StructuralSource 2PPR2023

    Extracted from this source document.

  3. 3.

    Extracted from this source document.