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Biomedical

Transcription factors organize into functional groups on the linear genome and in 3D chromatin

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Rakesh Netha Vadnala,

Rakesh Netha Vadnala

1The Institute of Mathematical Sciences,

rakeshnetha@imsc.res.in


Sridhar Hannenhalli,

Sridhar Hannenhalli

National Cancer Institute, National Institutes of Health,

rakeshnetha@imsc.res.in


Leelavati Narlikar,

Leelavati Narlikar

Department of Data Science, Indian Institute of Science Education and Research,

rakeshnetha@imsc.res.in


Rahul Siddharthan

Rahul Siddharthan

The Institute of Mathematical Sciences,

rakeshnetha@imsc.res.in


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© attribution CC-BY-NC

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2060 Views

Added on

2022-04-09

Doi: https://doi.org/10.1101/2022.04.06.487423

Abstract

Transcription factors (TFs) and their binding sites have evolved to interact cooperatively or competitively with each other. Here we examine in detail, across multiple cell lines, such cooperation or competition among TFs both in sequential and spatial proximity (using chromatin conformation capture assays) on one hand, and based on both in vivo binding as well as TF binding motifs on the other. We ascertain significantly co-occurring (“attractive”) or avoiding (“repulsive”) TF pairs using robust randomized models that retain the essential characteristics of the experimental data. Across human cell lines TFs organize into two groups, with intra-group attraction and inter-group repulsion. This is true for both sequential and spatial proximity, as well as for both in vivo binding and motifs. Attractive TF pairs exhibit significantly more physical interactions suggesting an underlying mechanism. The two TF groups differ significantly in their genomic and network properties, as well in their function—while one group regulates housekeeping function, the other potentially regulates lineage-specific functions, that are disrupted in cancer. We also show that weaker binding sites tend to occur in spatially interacting regions of the genome. Our results suggest a complex pattern of spatial cooperativity of TFs that has evolved along with the genome to support housekeeping and lineage-specific functions.

Key Questions

What is the primary focus of this study?

The study investigates how transcription factors (TFs) organize themselves into functional groups along the linear genome and within the three-dimensional structure of chromatin to regulate gene expression effectively.

What are transcription factors, and why are they important?

Transcription factors are proteins that bind to specific DNA sequences to regulate the transcription of genetic information from DNA to RNA. They play crucial roles in controlling gene expression and cellular function.

How do transcription factors organize along the linear genome?

The study reveals that TFs form clusters at specific genomic sites, creating regions of high regulatory activity. These clusters facilitate coordinated gene expression by bringing together multiple TFs and their target genes.

What is the significance of 3D chromatin organization in this context?

In 3D chromatin, transcription factors group together at spatially connected chromatin domains. This spatial organization enables efficient communication between regulatory elements like enhancers and promoters, enhancing gene regulation.

What methods were used to study transcription factor organization?

The researchers employed advanced genomic and imaging techniques, including chromatin immunoprecipitation sequencing (ChIP-seq) and high-resolution microscopy, to analyze TF binding patterns and chromatin structure.

What are the functional implications of transcription factor clustering?

Transcription factor clustering enhances regulatory efficiency and specificity, ensuring that genes are expressed at the right time and in the right context. This organization is critical for processes like development, differentiation, and response to environmental signals.

What new insights does this study provide?

The study highlights the dual organization of transcription factors in both linear and 3D genomic contexts, demonstrating how these patterns contribute to robust gene regulation. It provides a more integrated understanding of genome organization and function.

How could this research impact future studies?

This research could pave the way for new approaches to studying genome regulation and identifying dysregulation in diseases like cancer. It may also inform therapeutic strategies targeting transcription factors or chromatin organization.

What are the broader implications of transcription factor organization?

Understanding transcription factor organization helps to elucidate fundamental principles of gene regulation, with potential applications in biotechnology, medicine, and synthetic biology for manipulating gene expression systems.

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Article usage: Apr-2022 to Jun-2025
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2025 June 59 59
2025 May 141 141
2025 April 66 66
2025 March 94 94
2025 February 53 53
2025 January 55 55
2024 December 54 54
2024 November 52 52
2024 October 71 71
2024 September 67 67
2024 August 107 107
2024 July 47 47
2024 June 34 34
2024 May 39 39
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2024 March 59 59
2024 February 38 38
2024 January 34 34
2023 December 33 33
2023 November 57 57
2023 October 38 38
2023 September 31 31
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2023 July 41 41
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2023 March 50 50
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2022 December 61 61
2022 November 95 95
2022 October 38 38
2022 September 37 37
2022 August 53 53
2022 July 69 69
2022 June 110 110
2022 May 46 46
2022 April 37 37
Total 2060 2060
Show by month Manuscript Video Summary
2025 June 59 59
2025 May 141 141
2025 April 66 66
2025 March 94 94
2025 February 53 53
2025 January 55 55
2024 December 54 54
2024 November 52 52
2024 October 71 71
2024 September 67 67
2024 August 107 107
2024 July 47 47
2024 June 34 34
2024 May 39 39
2024 April 50 50
2024 March 59 59
2024 February 38 38
2024 January 34 34
2023 December 33 33
2023 November 57 57
2023 October 38 38
2023 September 31 31
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2023 July 41 41
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2023 April 37 37
2023 March 50 50
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2022 December 61 61
2022 November 95 95
2022 October 38 38
2022 September 37 37
2022 August 53 53
2022 July 69 69
2022 June 110 110
2022 May 46 46
2022 April 37 37
Total 2060 2060
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copyright icon

© attribution CC-BY-NC

  • 0

rating
2060 Views

Added on

2022-04-09

Doi: https://doi.org/10.1101/2022.04.06.487423

Related Subjects
Anatomy
Biochemistry
Epidemiology
Genetics
Neuroscience
Psychology
Oncology
Medicine
Musculoskeletal science
Pediatrics
Pathology
Pharmacology
Physiology
Psychiatry
Primary care
Women and reproductive health

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