4.7 Article

SLIC-CAGE: high-resolution transcription start site mapping using nanogram-levels of total RNA

Journal

GENOME RESEARCH
Volume 28, Issue 12, Pages 1943-1956

Publisher

COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1101/gr.235937.118

Keywords

-

Funding

  1. Wellcome Trust [106954]
  2. Medical Research Council (MRC) Core Funding [MC-A652-5QA10]
  3. BBSRC Responsive Mode Grant [BB/R002703/1]
  4. EMBO Long-Term Fellowship [EMBO ALTF 1279-2016]
  5. Medical Research Council UK [MC UP 1102/1]
  6. National Institute for Health Research (NIHR) Imperial Biomedical Research Centre (BRC)
  7. MRC [MC_US_A652_5PY70]
  8. European Research Council [ERC-CoG-648879]
  9. BBSRC [BB/R002703/1] Funding Source: UKRI
  10. MRC [MC_UP_1605/2, MC_UP_1102/1, MC_U120092689] Funding Source: UKRI

Ask authors/readers for more resources

Cap analysis of gene expression (CAGE) is a methodology for genome-wide quantitative mapping of mRNA 5' ends to precisely capture transcription start sites at a single nucleotide resolution. In combination with high-throughput sequencing, CAGE has revolutionized our understanding of the rules of transcription initiation, led to discovery of new core promoter sequence features, and discovered transcription initiation at enhancers genome-wide. The biggest limitation of CAGE is that even the most recently improved version (nAnT-iCAGE) still requires large amounts of total cellular RNA (5 pg), preventing its application to scarce biological samples such as those from early embryonic development or rare cell types. Here, we present SLIC-CAGE, a Super-Low Input Carrier-CAGE approach to capture 5' ends of RNA polymerase II transcripts from as little as 5-10 ng of total RNA. This dramatic increase in sensitivity is achieved by specially designed, selectively degradable carrier RNA. We demonstrate the ability of SLIC-CAGE to generate data for genome-wide promoterome with 1000-fold less material than required by existing CAGE methods, by generating a complex, high-quality library from mouse embryonic day 11.5 primordial germ cells.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Cell & Tissue Engineering

Inducing human retinal pigment epithelium-like cells from somatic tissue

Ivo Ngundu Woogeng, Bogumil Kaczkowski, Imad Abugessaisa, Haiming Hu, Akihiro Tachibana, Yoshiki Sahara, Chung-Chau Hon, Akira Hasegawa, Noriko Sakai, Mitsuhiro Nishida, Hashimita Sanyal, Junki Sho, Keisuke Kajita, Takeya Kasukawa, Minoru Takasato, Piero Carninci, Akiko Maeda, Michiko Mandai, Erik Arner, Masayo Takahashi, Cody Kime

Summary: This study developed a faster reprogramming system to induce retinal pigment epithelium (RPE)-like cells from human fibroblasts. The induced RPE (iRPE) cells showed critical RPE benchmarks and significant integration in transplanted retinas. The comprehensive single-cell RNA sequencing analysis provided a detailed characterization of the best cells. The system may provide a robust method for retinal cell induction in basic research and affordable autologous human RPE tissue for regenerative cell therapy.

STEM CELL REPORTS (2022)

Article Genetics & Heredity

Gene-disease relationship evidence: A clinical perspective focusing on ultra-rare diseases

Gijs W. E. Santen, Harry G. Leitch, Jan Cobben

Summary: The ACMG framework for variant interpretation is well-established and widely used, but guidelines for establishing gene-disease relationships have not been widely acknowledged or implemented. This manuscript emphasizes the importance of distinguishing between different types of gene-disease relationships and discusses the available approaches for establishing these relationships. It provides a checklist to evaluate gene-disease relationships for genes with limited information. Real-life examples are presented to highlight the importance of thorough consideration of gene-disease relationships. The authors hope that these considerations and checklist will assist clinicians and scientists in dealing with variants in genes without robustly ascertained gene-disease relationships.

HUMAN MUTATION (2022)

Editorial Material Biochemistry & Molecular Biology

Lessons from the functional characterization of lncRNAs: introduction to mammalian genome special issue

Lynne Maquat, Rory Johnson, Saba Valadkhan, Piero Carninci

MAMMALIAN GENOME (2022)

Correction Multidisciplinary Sciences

Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network (vol 12, 3279, 2021)

Mathys Grapotte, Manu Saraswat, Chloe Bessiere, Christophe Menichelli, Jordan A. Ramilowski, Jessica Severin, Yoshihide Hayashizaki, Masayoshi Itoh, Michihira Tagami, Mitsuyoshi Murata, Miki Kojima-Ishiyama, Shohei Noma, Shuhei Noguchi, Takeya Kasukawa, Akira Hasegawa, Harukazu Suzuki, Hiromi Nishiyori-Sueki, Martin C. Frith, Clement Chatelain, Piero Carninci, Michiel J. L. de Hoon, Wyeth W. Wasserman, Laurent Brehelin, Charles-Henri Lecellier

NATURE COMMUNICATIONS (2022)

Article Genetics & Heredity

Sedaghatian spondylometaphyseal dysplasia in two siblings

Niha Peshimam, Hani Farah, Richard Caswell, Sian Ellard, Wajanat Jan, Alistair D. Calder, Jan Cobben, Ujwal Kariholu, Harry G. Leitch

Summary: Sedaghatian type spondylometaphyseal dysplasia (SSMD) is a rare multi-system disorder characterized by skeletal, neurological, and cardiovascular abnormalities. This study reports a new family with two affected siblings and provides a detailed description of the phenotypic features. When shortened long bones are present along with significant brain abnormalities, a diagnosis of SSMD should be considered.

EUROPEAN JOURNAL OF MEDICAL GENETICS (2022)

Article Genetics & Heredity

Multiomic atlas with functional stratification and developmental dynamics of zebrafish cis-regulatory elements

Damir Baranasic, Matthias Hortenhuber, Piotr J. Balwierz, Tobias Zehnder, Abdul Kadir Mukarram, Chirag Nepal, Csilla Varnai, Yavor Hadzhiev, Ada Jimenez-Gonzalez, Nan Li, Joseph Wragg, Fabio M. D'Orazio, Dorde Relic, Mikhail Pachkov, Noelia Diaz, Benjamin Hernandez-Rodriguez, Zelin Chen, Marcus Stoiber, Michael Dong, Irene Stevens, Samuel E. Ross, Anne Eagle, Ryan Martin, Oluwapelumi Obasaju, Sepand Rastegar, Alison C. McGarvey, Wolfgang Kopp, Emily Chambers, Dennis Wang, Hyejeong R. Kim, Rafael D. Acemel, Silvia Naranjo, Maciej Lapinski, Vanessa Chong, Sinnakaruppan Mathavan, Bernard Peers, Tatjana Sauka-Spengler, Martin Vingron, Piero Carninci, Uwe Ohler, Scott Allen Lacadie, Shawn M. Burgess, Cecilia Winata, Freek van Eeden, Juan M. Vaquerizas, Jose Luis Gomez-Skarmeta, Daria Onichtchouk, Ben James Brown, Ozren Bogdanovic, Erik van Nimwegen, Monte Westerfield, Fiona C. Wardle, Carsten O. Daub, Boris Lenhard, Ferenc Muller

Summary: Zebrafish, an important model organism for studying embryonic development and human diseases, lacks a systematic functional annotation program. The international DANIO-CODE consortium addressed this issue by creating a central repository to store and process zebrafish developmental functional genomic data. They improved existing annotations and identified over 140,000 cis-regulatory elements throughout development. They also compared regulatory elements and epigenomic landscapes between zebrafish and mouse, predicting functional relationships between them. This study extends the utility of zebrafish developmental genomics to mammals.

NATURE GENETICS (2022)

Article Biochemical Research Methods

SCAFE: a software suite for analysis of transcribed cis-regulatory elements in single cells

Jonathan Moody, Tsukasa Kouno, Jen-Chien Chang, Yoshinari Ando, Piero Carninci, Jay W. Shin, Chung-Chau Hon

Summary: The SCAFE software suite was developed to process sc-end5-seq data to de novo identify TSS clusters and generate tCRE-by-cell count matrix for downstream analyses.

BIOINFORMATICS (2022)

Article Multidisciplinary Sciences

Distinctive exercise-induced inflammatory response and exerkine induction in skeletal muscle of people with type 2 diabetes

Nicolas J. Pillon, Jonathon A. B. Smith, Petter S. Alm, Alexander V. Chibalin, Julia Alhusen, Erik Arner, Piero Carninci, Tomas Fritz, Julia Otten, Tommy Olsson, Sophie van Doorslaer de ten Ryen, Louise Deldicque, Kenneth Caidahl, Harriet Wallberg-Henriksson, Anna Krook, Juleen R. Zierath

Summary: This study reveals the role of exercise-responsive cytokines in skeletal muscle development and growth in individuals with normal glucose tolerance or type 2 diabetes. Acute exercise triggers an inflammatory response and increases immune cell infiltration. CXCL12 is associated with skeletal muscle remodeling and differentiation.

SCIENCE ADVANCES (2022)

Article Biochemistry & Molecular Biology

Piwil2 (Mili) sustains neurogenesis and prevents cellular senescence in the postnatal hippocampus

Caterina Gasperini, Kiril Tuntevski, Silvia Beatini, Roberta Pelizzoli, Amanda Lo Van, Damiano Mangoni, Rosa M. Cossu, Giovanni Pascarella, Paolo Bianchini, Pascal Bielefeld, Margherita Scarpato, Meritxell Pons-Espinal, Remo Sanges, Alberto Diaspro, Carlos P. Fitzsimons, Piero Carninci, Stefano Gustincich, Davide De Pietri Tonelli

Summary: Piwil2 is crucial for neurogenesis in the adult hippocampus, and its expression is related to the dynamic expression of piRNAs. Depletion of Mili and piRNAs affects aNPCs differentiation, induces senescence, and generates reactive glia in the adult hippocampus. Mili depletion results in the modulation of transcripts with sequences complementary or homologous to piRNAs, including repetitive elements and mRNAs encoding essential proteins for proper neurogenesis.

EMBO REPORTS (2023)

Article Cell Biology

Quantifying propagation of DNA methylation and hydroxymethylation with iDEMS

Kathleen R. Stewart-Morgan, Cristina E. Requena, Valentin Flury, Qian Du, Zoe Heckhausen, Petra Hajkova, Anja Groth

Summary: The researchers developed a mass spectrometry-based method called iDEMS to measure DNA modifications on metabolically labeled DNA. This method revealed a hemi-methylated landscape on nascent DNA and showed that methylation maintenance is slower than cell division in mouse embryonic stem cells. They also found that hydroxymethylation is asymmetric between sister strands, favoring the parental strand.

NATURE CELL BIOLOGY (2023)

Article Genetics & Heredity

Whole-genome sequencing of chronic lymphocytic leukemia identifies subgroups with distinct biological and clinical features

Pauline Robbe, Kate E. Ridout, Dimitrios V. Vavoulis, Helene Dreau, Ben Kinnersley, Nicholas Denny, Daniel Chubb, Niamh Appleby, Anthony Cutts, Alex J. Cornish, Laura Lopez-Pascua, Ruth Clifford, Adam Burns, Basile Stamatopoulos, Maite Cabes, Reem Alsolami, Pavlos Antoniou, Melanie Oates, Doriane Cavalieri, Genomics England Research Consortium, Cll Pilot Consortium, Jane Gibson, Anika Prabhu, Ron Schwessinger, Daisy Jennings, Terena James, Uma Maheswari, Marti Duran-Ferrer, Piero Carninci, Samantha J. L. Knight, Robert Mansson, Jim Hughes, James Davies, Mark Ross, David Bentley, Jonathan C. Strefford, Stephen Devereux, Andrew R. Pettitt, Peter Hillmen, Mark J. Caulfield, Richard S. Houlston, Jose Martin-Subero, Anna Schuh

Summary: This study reports the whole-genome sequencing of 485 chronic lymphocytic leukemia patients and identifies a range of recurrent coding and noncoding genetic mutations. The study also provides a high-resolution map of structural variants, copy number changes, and global genome features, and demonstrates the relationship of these features with clinical outcomes.

NATURE GENETICS (2022)

Review Cell Biology

Long non-coding RNAs: definitions, functions, challenges and recommendations

John S. S. Mattick, Paulo P. P. Amaral, Piero Carninci, Susan Carpenter, Howard Y. Y. Chang, Ling-Ling Chen, Runsheng Chen, Caroline Dean, Marcel E. E. Dinger, Katherine A. A. Fitzgerald, Thomas R. R. Gingeras, Mitchell Guttman, Tetsuro Hirose, Maite Huarte, Rory Johnson, Chandrasekhar Kanduri, Philipp Kapranov, Jeanne B. B. Lawrence, Jeannie T. T. Lee, Joshua T. T. Mendell, Timothy R. R. Mercer, Kathryn J. J. Moore, Shinichi Nakagawa, John L. L. Rinn, David L. L. Spector, Igor Ulitsky, Yue Wan, Jeremy E. E. Wilusz, Mian Wu

Summary: Genes encoding lncRNAs are abundant in complex organisms and are transcribed by RNA polymerase I, II, and III, as well as processed introns. The classification and annotation of lncRNAs are challenging due to their various functions, isoforms, and interactions with other genes. These lncRNAs evolve rapidly, are cell type-specific, and regulate multiple cellular processes, including gene expression and translation control.

NATURE REVIEWS MOLECULAR CELL BIOLOGY (2023)

Article Cell Biology

Antisense-oligonucleotide-mediated perturbation of long non-coding RNA reveals functional features in stem cells and across cell types

Chi Wai Yip, Chung-Chau Hon, Kayoko Yasuzawa, Divya M. Sivaraman, Jordan A. Ramilowski, Youtaro Shibayama, Saumya Agrawal, Anika V. Prabhu, Callum Parr, Jessica Severin, Yan Jun Lan, Josee Dostie, Andreas Petri, Hiromi Nishiyori-Sueki, Michihira Tagami, Masayoshi Itoh, Fernando Lopez-Redondo, Tsukasa Kouno, Jen-Chien Chang, Joachim Luginbuhl, Masaki Kato, Mitsuyoshi Murata, Wing Hin Yip, Xufeng Shu, Imad Abugessaisa, Akira Hasegawa, Harukazu Suzuki, Sakari Kauppinen, Ken Yagi, Yasushi Okazaki, Takeya Kasukawa, Michiel de Hoon, Piero Carninci, Jay W. Shin

Summary: Within the FANTOM6 consortium, we conducted a large-scale knockdown of 200 lncRNAs in human iPSCs and explored their roles in self-renewal and pluripotency. We identified 36 lncRNAs that inhibit cell growth and 36 lncRNAs with molecular phenotypes, potentially affecting pluripotency.

CELL REPORTS (2022)

Article Engineering, Biomedical

Prediction of the cell-type-specific transcription of non-coding RNAs from genome sequences via machine learning

Masaru Koido, Chung-Chau Hon, Satoshi Koyama, Hideya Kawaji, Yasuhiro Murakawa, Kazuyoshi Ishigaki, Kaoru Ito, Jun Sese, Nicholas F. Parrish, Yoichiro Kamatani, Piero Carninci, Chikashi Terao

Summary: A machine-learning model called MENTR has been developed to link genome sequence and non-coding RNA expression at the cell type level. This model can predict the effects of RNA transcription and identify genetic variants associated with complex traits.

NATURE BIOMEDICAL ENGINEERING (2023)

Editorial Material Oncology

A new layer of complexity in the human genome: Somatic recombination of repeat elements

Giovanni Pascarella, Martin Frith, Piero Carninci

CLINICAL AND TRANSLATIONAL MEDICINE (2023)

No Data Available