diff --git a/DESCRIPTION b/DESCRIPTION
index 1a8a7c042..2c56f1980 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: Seurat
-Version: 4.0.0.9015
-Date: 2021-03-15
+Version: 4.0.1
+Date: 2021-03-17
 Title: Tools for Single Cell Genomics
 Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
 Authors@R: c(
diff --git a/NEWS.md b/NEWS.md
index 71043ae1a..382a2eb64 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,4 @@
-# Seurat develop
-
+# Seurat 4.0.1 (2020-03-17)
 ## Added
 - Add direction option to `PlotClusterTree()`
 - Add `cols` parameter to `JackStrawPlot()`
diff --git a/R/preprocessing.R b/R/preprocessing.R
index 2408cd698..74574c850 100644
--- a/R/preprocessing.R
+++ b/R/preprocessing.R
@@ -1057,7 +1057,10 @@ Read10X_Image <- function(image.dir, filter.matrix = TRUE, ...) {
 #' \dontrun{
 #' # For local files:
 #'
-#' expression_matrix <- ReadMtx(genes="count_matrix.mtx.gz", features="features.tsv.gz", cells="barcodes.tsv.gz")
+#' expression_matrix <- ReadMtx(
+#'   mtx = "count_matrix.mtx.gz", features = "features.tsv.gz",
+#'   cells = "barcodes.tsv.gz"
+#' )
 #' seurat_object <- CreateSeuratObject(counts = expression_matrix)
 #'
 #' # For remote files:
diff --git a/README.md b/README.md
index 619d7af2c..ae591d755 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-[![Build Status](https://travis-ci.com/satijalab/seurat.svg?branch=master)](https://travis-ci.com/satijalab/seurat)
+[![Build Status](https://travis-ci.com/satijalab/seurat.svg?branch=master)](https://travis-ci.com/github/satijalab/seurat)
 [![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/satijalab/seurat?branch=master&svg=true)](https://ci.appveyor.com/project/satijalab/seurat)
 [![CRAN Version](https://www.r-pkg.org/badges/version/Seurat)](https://cran.r-project.org/package=Seurat)
 [![CRAN Downloads](https://cranlogs.r-pkg.org/badges/Seurat)](https://cran.r-project.org/package=Seurat)
diff --git a/cran-comments.md b/cran-comments.md
index e7b0941f7..eed9624bd 100644
--- a/cran-comments.md
+++ b/cran-comments.md
@@ -1,7 +1,6 @@
-# Seurat v4.0.0
+# Seurat v4.0.1
 
 ## Test environments
-* local Ubuntu 16.04.6 install, R 4.0.3
 * local Ubuntu 18.04.4 install, R 4.0.3
 * local Ubuntu 20.04 install, R 4.0.3
 * local Windows 10 install, R 4.0.3
@@ -15,8 +14,8 @@ There were no ERRORs, WARNINGs, or NOTEs
 
 ## Downstream dependencies
 
-There is one package that depends on Seurat: tidyseurat; this update does not impact its functionality
+There are no packages that depend on Seurat.
 
-There are three packages that imports Seurat: scMappR, Signac, and SoupX; this update does not impact their functionality
+There are six packages that imports Seurat: CDSeq, DUBStepR, scMappR, Signac, SignacX, and SoupX; this update does not impact their functionality
 
-There are ten packages that suggest Seurat: BisqueRNA, clustree, DIscBIO, nanny, rliger, Rmagic, scSorter, singleCellHaystack, treefit, VAM; this update does not impact their functionality.
+There are eleven packages that suggest Seurat: BisqueRNA, clustree, conos, DIscBIO, dyngen, nanny, rliger, Rmagic, singleCellHaystack, treefit, VAM; this update does not impact their functionality.
diff --git a/man/ReadMtx.Rd b/man/ReadMtx.Rd
index c11d20426..e24620851 100644
--- a/man/ReadMtx.Rd
+++ b/man/ReadMtx.Rd
@@ -45,7 +45,10 @@ Enables easy loading of sparse data matrices
 \dontrun{
 # For local files:
 
-expression_matrix <- ReadMtx(genes="count_matrix.mtx.gz", features="features.tsv.gz", cells="barcodes.tsv.gz")
+expression_matrix <- ReadMtx(
+  mtx = "count_matrix.mtx.gz", features = "features.tsv.gz",
+  cells = "barcodes.tsv.gz"
+)
 seurat_object <- CreateSeuratObject(counts = expression_matrix)
 
 # For remote files: