Genomics

First chromosome-level genome assembly of the colonial tunicate Botryllus schlosseri

1. Olivier De Thier
2. Mohammed M.Tawfeeq
3. Roland Faure
4. Marie Lebel
5. Philippe Dru
6. Simon Blanchoud
7. Alexandre Alié
8. Federico D. Brown
9. Jean-François Flot
10. Stefano Tiozzo

Reviewed by GigaScience

Haplotype-resolved reference genomes of the sea turtle clade unveil ultra-syntenic genomes with hotspots of divergence

1. Larissa S. Arantes
2. Tom Brown
3. Diego De Panis
4. Scott D. Whiting
5. Erin L. LaCasella
6. Gabriella A. Carvajal
7. Adam Kennedy
8. Deana Edmunds
9. Blair P. Bentley
10. Jennifer Balacco
11. Conor Whelan
12. Nivesh Jain
13. Tatiana Tilley
14. Brian O’Toole
15. Patrick Traore
16. Erich D. Jarvis
17. Oliver Berry
18. Peter H. Dutton
19. Lisa M. Komoroske
20. Camila J. Mazzoni

Reviewed by GigaScience

CNSistent integration and feature extraction from somatic copy number profiles

1. Adam Streck
2. Roland F. Schwarz

Reviewed by GigaScience

The Open Pediatric Cancer Project

1. Zhuangzhuang Geng
2. Eric Wafula
3. Ryan J Corbett
4. Yuanchao Zhang
5. Run Jin
6. Krutika S Gaonkar
7. Sangeeta Shukla
8. Komal S Rathi
9. Dave Hill
10. Aditya Lahiri
11. Daniel P Miller
12. Alex Sickler
13. Kelsey Keith
14. Christopher Blackden
15. Antonia Chroni
16. Miguel A Brown
17. Adam A Kraya
18. Kaylyn L Clark
19. Brian R Rood
20. Adam C Resnick
21. Nicholas Van Kuren
22. John M Maris
23. Alvin Farrel
24. Mateusz P Koptyra
25. Gerri R Trooskin
26. Noel Coleman
27. Yuankun Zhu
28. Stephanie Stefankiewicz
29. Zied Abdullaev
30. Asif T Chinwalla
31. Mariarita Santi
32. Ammar S Naqvi
33. Jennifer L Mason
34. Carl J Koschmann
35. Xiaoyan Huang
36. Sharon J Diskin
37. Kenneth Aldape
38. Bailey K Farrow
39. Weiping Ma
40. Bo Zhang
41. Brian M Ennis
42. Sarah Tasian
43. Saksham Phul
44. Matthew R Lueder
45. Chuwei Zhong
46. Joseph M Dybas
47. Pei Wang
48. Deanne Taylor
49. Jo Lynne Rokita

Reviewed by GigaScience

A comprehensive water buffalo pangenome reveals extensive structural variation linked to population specific signatures of selection

1. Fazeela Arshad
2. Siddharth Jayaraman
3. Andrea Talenti
4. Rachel Owen
5. Muhammad Mohsin
6. Shahid Mansoor
7. Muhammad Asif
8. James Prendergast

Reviewed by GigaScience

Breaking Through Biology's Data Wall: Expanding the Known Tree of Life by Over 10x using a Global Biodiscovery Pipeline

1. Oliver Vince
2. Phoebe Oldach
3. Valerio Pereno
4. Marcus H Y Leung
5. Carla Greco
6. Gus Minto-Cowcher
7. Saif Ur-Rehman
8. Keith Y K Kam
9. William Chow
10. Emma Bolton
11. Bupe R Mwambingu
12. Nadine L Greenhalgh
13. Ineke E Knot
14. Leif Christoffersen
15. Marlon Clark
16. Robert Pecoraro
17. Aaron W Kollasch
18. Tanggis Bohnuud
19. Matthew Bakalar
20. Philipp Lorenz
21. Glen Gowers

Reviewed by Arcadia Science

Genome reorganization and its functional impact during breast cancer progression

1. Kathleen S Metz Reed
2. Andrew Fritz
3. Haley Greenyer
4. Kerstin Heselmeyer-Haddad
5. Seth Frietze
6. Janet Stein
7. Gary Stein
8. Tom Misteli

• Curated by eLife

  eLife Assessment

  The study by Reed et al. provides fundamental findings and convincing evidence defining the topological changes that occur during tumorigenesis. The findings enhance the understanding of stable long-range connections among genes that reprogram cancer-related functions. Nevertheless, performing additional experiments is recommended.

Reviewed by eLife

OpenSpliceAI provides an efficient modular implementation of SpliceAI enabling easy retraining across nonhuman species

1. Kuan-Hao Chao
2. Alan Mao
3. Anqi Liu
4. Steven L Salzberg
5. Mihaela Pertea

• Curated by eLife

  eLife Assessment

  This valuable study introduces a modern and accessible PyTorch reimplementation of the widely used SpliceAI model for splice site prediction. The authors provide convincing evidence that their OpenSpliceAI implementation matches the performance of the original while improving usability and enabling flexible retraining across species. These advances are likely to be of broad interest to the computational genomics community.

Reviewed by eLife

Cell type-specific network analysis in Diversity Outbred mice identifies genes potentially responsible for human bone mineral density GWAS associations

1. Luke J Dillard
2. Gina M Calabrese
3. Larry D Mesner
4. Charles R Farber

• Curated by eLife

  eLife Assessment

  This is a well-done study that provides compelling data from a diverse set of approaches from single cell transcriptome data and network analysis from genetically diverse mouse cells to identify novel driver genes underlying human GWAS associations. The authors present solid evidence that network analysis of scRNA-seq data from genetically diverse mouse bone-marrow derived stromal cells can be informative for identifying human BMD GWAS driver genes. Their approach should be broadly useful and applicable to other GWAS studies.

Reviewed by eLife

Functional characterization of the disease-associated CCL2 rs1024611G-rs13900T haplotype: The role of the RNA-binding protein HuR

1. Feroz Akhtar
2. Joselin Hernandez Ruiz
3. Ya-Guang Liu
4. Roy G Resendez
5. Denis Feliers
6. Liza D Morales
7. Alvaro Diaz-Badillo
8. Donna M Lehman
9. Rector Arya
10. Juan Carlos Lopez-Alvarenga
11. John Blangero
12. Ravindranath Duggirala
13. Srinivas Mummidi

• Curated by eLife

  eLife Assessment

  CCL2 is a chemokine with immune cell chemoattractant properties, and it appears to play a role in several chronic inflammatory diseases. The RNA-binding protein HuR controls the stability and translation of CCL2 mRNA. This paper presents convincing evidence that a relatively common genetic variant tied to several disease phenotypes affects the interaction between the mRNA of CCL2 and the RNA-binding protein HuR. While the experiments cannot definitively distinguish between effects on RNA transcription and stability, CCL2 is thought to be relevant for leukocyte migration in various conditions, including chronic inflammation and cancer, and the study presents important findings that may be relevant to a broad audience.

Reviewed by eLife